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Curriculum Vitae – Dr. Yannis Marinakis 1

CURRICULUM VITAE

Dr. Yannis Marinakis


1. PERSONAL INFORMATION Name: Yannis Marinakis Father’s Name: Stavros Mother’s Name: Sophia Date of Birth: 25--02--1976 Place of Birth: Chania Nationality: Greek Marital status: Single Position: Assistant Professor, Dr. Production and Management

Engineer Member of Technical Chamber of Greece since

21/02/2006 Office address: School of Production Engineering and Management,

Decision Support Systems Laboratory, University Campus, 73100, Chania, Crete, Greece. Telephone: +30-28210-37288 E-mails : [email protected] Website: http://users.isc.tuc.gr/~imarinakis/

2. EDUCATION November 2005: Ph.D. in Operations Research from the Department of Production

Engineering and Management, Technical University of Crete, Greece. Ph.D. Dissertation: Vehicle Routing in Distribution Problems.

September 2001 - October 2005: Ph.D. Candidate in Operations Research in the

Department of Production Engineering and Management, Technical University of Crete, Greece.

September 2001: Master’s Degree in Operations Research from the Department of

Production Engineering and Management, Technical University of Crete, Greece. M.Sc. Thesis: Development and Application of an Algorithm for the Solution of the Vehicle Routing Problem.

1999 - 2001: Postgraduate studies in Operations Research in the Department of

Production Engineering and Management, Technical University of Crete, Greece. September 1999: Engineering Degree from the Department of Production

Engineering and Management, Technical University of Crete, Greece. Diploma Thesis: Study of the properties of nonlinear optimization algorithms.

1994 - 1999: Studies in the Department of Production Engineering and Management,

Technical University of Crete, Greece.


3. TEACHING EXPERIENCE

1. 22/7/2013 – present: Assistant Professor of Stochastic Optimization and Applications in the School of Production Engineering and Management, Technical University of Crete, Greece. Technical University of Crete, Greece. Teaching of the undergraduate courses: Combinatorial Optimization, Game Theory, Design and Optimization in Supply Chain Management and of the postgraduate courses: Evolutionary Algorithms and Optimization of Large Scale Systems.

2. 2/01/2009 – 21/7/2013: Lecturer of Stochastic Optimization and Applications in the Department of Production Engineering and Management, Technical University of Crete, Greece. Teaching of the undergraduate courses: Combinatorial Optimization, Game Theory, Design and Optimization in Supply Chain Management and of the postgraduate courses: Evolutionary and Metaheuristic Algorithms (Academic year 2009-2010), Optimization of Larges Scale Systems (Academic year 2008-2009) and Evolutionary Algorithms and Optimization of Larges Scale Systems (since the Academic year 2010-2011).

3. 1/09/2008 - 2/01/2009: Adjunct Lecturer in the Department of Production

Engineering and Management, Technical University of Crete, Greece.

4. March 2006 – June 2008: Teaching to the Postgraduate Studies Programme in Financial and Management for Engineers in the Department of Financial and Management Engineering, University of the Aegean, the post graduate courses: Management of the Supply Chain, Management of Operations and Production and Computer Programming in Matlab Environment (VERSION 7). More precisely:

Spring Semester of the Academic Year 2007 -- 2008: Department of

Financial and Management Engineering. University of the Aegean. Responsible for teaching in the Postgraduate Studies Programme in Financial and Management for Engineers the course Computer Programming in Matlab Environment (VERSION 7).

Spring Semester of the Academic Year 2006 -- 2007: Department of Financial and Management Engineering. University of the Aegean. Responsible for teaching in the Postgraduate Studies Programme in Financial and Management for Engineers the course Management of the Supply Chain and Management of Operations and Production.

01/11/06 -- 05/03/07: Department of Financial and Management Engineering. University of the Aegean. Responsible for teaching in the Postgraduate Studies Programme in Financial and Management for Engineers the course Computer Programming in Matlab Environment (VERSION 7).

Spring Semester of the Academic Year 2005 -- 2006: Teaching of the Seminar Course of the Postgraduate Studies Programme Computer


Programming in Matlab Environment (VERSION 7), Postgraduate Studies Programme in Financial and Management for Engineers, Department of Financial and Management Engineering. University of the Aegean.

5. September 2004 -- February 2005: Department of Electronics,

Technological Institute of Crete - Branch of Chania. Teaching of the laboratories of the course Informatics ΙΙ.

6. September 2002 -- February 2005: Department of Natural Resources and

Environment, Technological Institute of Crete - Branch of Chania. Teaching of the laboratories of the courses Envrionmental Statistics, Informatics I and Informatics II. More pricely:

September 2004 -- February 2005: Teaching of the laboratories of

the course Envrionmental Statistics in the Department of Natural Resources and Environment, Technological Institute of Crete - Branch of Chania.

September 2003 -- June 2004: Teaching of the laboratories of the course Informatics ΙΙ and of the laboratories of the course Envrionmental Statistics in the Department of Natural Resources and Environment, Technological Institute of Crete - Branch of Chania.

September 2002 -- June 2003: Teaching of the laboratories of the course Informatics Ι and Informatics II in the Department of Natural Resources and Environment, Technological Institute of Crete - Branch of Chania.

7. September 2000 -- August 2005: Laboratorial Assistant in the Department of

Production Engineering and Management, Technical University of Crete, Greece for the undergraduate courses Combinatorial Optimization, Game Theory, Modelling and Optimization of the Supply Chain, and Methodology of Computing and for the undergraduate courses Heuristic and Metaheuristic Algorithms, Optimization of Large Scale Systems. More precisely:

01/09/2000 - 28/02/2001: Laboratorial exercises of the course Game

Theory, 7th semester, Department of Production Engineering and Management.

01/03/2001 - 31/08/2001: Laboratorial exercises of the course Combinatorial Optimization, 8th semester, Department of Production Engineering and Management.

01/11/2001 - 28/02/2002: Laboratorial exercises of the course Methodology of Computing, 1st semester, Department of Production Engineering and Management.


01/09/2002 - 28/02/2003: Laboratorial exercises of the course Game Theory, 7th semester, Department of Production Engineering and Management.




01/03/2004 - 31/08/2004: Laboratorial exercises of the course Game Theory, 4th semester and laboratorial exercises of the postgraduate course Heuristic and Metaheuristic Algorithms, Department of Production Engineering and Management.

01/12/2004 - 31/12/2004: Laboratorial exercises of the course Modelling and Optimization of the Supply Chain, 9th semester, Department of Production Engineering and Management.

01/04/2005 - 30/4/2005, 01/06/2005 - 30/06/2005 and 01/08/2005 -31/08/2005: Laboratorial exercises of the postgraduate course Optimization of Large Scale Systems, Department of Production Engineering and Management.

4. RESEARCH PROJECTS

1. 15/12/2011-31/12/2013: Member of the research team of the research project “Energy Aware Enterprise Systems for Low-carbon Intelligent Operations – ARTISAN”. Financed by the European Union (FP7-ICT systems for Energy Efficiency) with Scientific Contribution to the project: the Optimization and the Design of the Algorithms.

2. 1/1/2012-31/12/2013: Member of the research team of the research project “Improvement of integrity monitoring of piles using computational dynamics and global optimization”. Programme for the promotion of the exchange and scientific cooperation between Greece and Germany. Programme IKYDA 2012.

3. 01/06/2012-31/07/2012: Member of the research team of the research project “Utilization of advanced technologies in the payment of use and management of public parking (Ε PARK)”. Programme for the scientific cooperation between Greece and Cyprus 2007-2013.

4. March 2010: Member of the research team for the research project "Study of the Super Markets stores in the prefecture of Chania - Provision of supply chain logistics - Creation normative unit for oil-juice."

5. 01/01/07 -- 31/12/07: Member of the research team of the research project “Design and Implementation of Mixed Interger Programming Problems”. Financed by the Project Pythagoras II with Scientific Contribution to the project: the implementation of Branch and Bound algorithms.

6. September 2001: Research Project INTAS 97-31854/Network for Developing Theory, Methods and Applications of Nonsmooth Analysis and Optimization.

7. January 2000 – March 2000: Scientific associate in the Institute of Electronic Structure and Laser, Foundation for Research and Technology, Heraklion, Crete, Greece.


5. FOREIGN LANGUAGES English 6. PUBLICATIONS

1. Books : 3 2. Journal Papers: 40

Sum of the Impact Factors (year of publication): 43.329 Average of the Impact Factors (year of publication): 1.083 Sum of the Impact Factors (2012): 45.909 Average of the Impact Factors (2012): 1.147 Sum of the Five Year Impact Factors: 52.002 Average of the Five Year Impact Factors: 1.3

3. Papers in Lecture Notes and Books: 22 4. Papers in International Conferences: 20 5. Papers’ Abstracts in International Conferences: 15 6. Papers in National Conferences: 3 7. Papers’ Abstracts in National Conferences: 6 8. Total Citations: 776

6.1 Books

1. Yannis Marinakis, Magdalene Marinaki, Nikolaos F. Matsatsinis and Constantin Zopounidis, (2011), Metaheuristic and Evolutionary Algorithms in Management Science Problems¸ Klidarithmos, pages 527, Athens, ISBN 978-960-461-422-6 (in Greek).

2. Yannis Marinakis and Athanasios Migdalas, (2008), Modelling and Optimization of Supply Chain, Sophia Publishers, Thessaloniki, pages 533, ISBN: 978-960-6706-17-2 (in Greek).

3. Marinakis, Y., Marinaki, Μ.: Mathematical theory of optimization. New Technologies Edition, Athens. Translation in Greek of the Book: «Du D.-Z., Pardalos, P. M., and Wu., W. Mathematical theory of optimization. Nonconvex optimization and its applications, Kluwer Academic Publishers, 2001», p. 348, 2005, ISBN: 960-8105-79-X.

6.2 Journal Papers

4. Y. Marinakis and M. Marinaki, (2014) “Combinatorial Neighborhood Topology Bumble Bees Mating Optimization for the Vehicle Routing Problem with Stochastic Demands”, Soft Computing, (available on line) DOI: 10.1007/s00500-014-1257-1 (Impact Factor 2012: 1.124 – Five Year Impact Factor: 1.464).

5. Y. Marinakis and M. Marinaki, (2014) “A Bumble Bees Mating Optimization algorithm for the Open Vehicle Routing Problem”, Swarm and Evolutionary Computation, 15, 80-94.

6. Y. Marinakis and M. Marinaki, (2013) “Particle Swarm Optimization with Expanding Neighborhood Topology for the Permutation Flowshop Scheduling


Problem”, Soft Computing, 17(7), 1159-1173, DOI: 10.1007/s00500-013-0992-z (Impact Factor 2012: 1.124 – Five Year Impact Factor: 1.464).

7. Y. Marinakis, G.R. Iordanidou and M. Marinaki, (2013) “Particle Swarm Optimization for the Vehicle Routing Problem with Stochastic Demands”, Applied Soft Computing, 13, 1693-1704 (Impact Factor 2012: 2.14 – Five Year Impact Factor: 2.526).

8. Y. Marinakis, (2012), “Multiple Phase Neighborhood Search GRASP for the Capacitated Vehicle Routing Problem”, Expert Systems with Applications, 39, 6807-6815. (Impact Factor 2012: 1.854 – Five Year Impact Factor: 2.339).

9. M. Marinaki, Y. Marinakis and G.E. Stavroulakis, (2011) “Vibration Control of Beams with Piezoelectric Sensors and Actuators using Particle Swarm Optimization”, Expert Systems with Applications, 38, 6872-6883. (Impact Factor 2011: 2.203 – Impact Factor 2012: 1.854 – Five Year Impact Factor: 2.339).

10. M. Marinaki, Y. Marinakis and G.E. Stavroulakis, (2011), “Fuzzy Control Optimized by a Multi-Objective Particle Swarm Optimization Algorithm for Vibration Suppression of Smart Structures”, Structural and Multidisciplinary Optimization, 43, 29-42. (Impact Factor 2011: 1.488 – Impact Factor 2012: 1.728 – Five Year Impact Factor: 1.599).

11. Y. Marinakis, M. Marinaki and G. Dounias, (2011) “Honey Bees Mating Optimization Algorithm for the Euclidean Traveling Salesman Problem”, Information Sciences, 181, 4684 – 4698 (Impact Factor 2011: 2.833 – Impact Factor 2012: 3.643 – Five Year Impact Factor: 3.676).

12. Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis, (2011), “A Hybrid ACO-GRASP Algorithm for Clustering Analysis”, Annals of Operations Research, 188, 343-358. (Impact Factor 2011: 0.840 – Impact Factor 2012: 1.029 – Five Year Impact Factor: 1.101).

13. Y. Marinakis, M. Marinaki, N. Matsatsinis and C. Zopounidis, (2011), “Discrete Artificial Bee Colony Optimization Algorithm for Financial Classification Problems”, International Journal of Applied Metaheuristic Computing, 2, 1, 1-17.

14. S. Tsafarakis, Y. Marinakis and N. Matsatsinis, (2011), “Particle Swarm Optimization for Optimal Product Line Design”, International Journal of Research in Marketing, 28, 13-22. (Impact Factor 2011: 1.662 – Impact Factor 2012: 1.781 – Five Year Impact Factor: 2.467).

15. M. Marinaki, Y. Marinakis and G.E. Stavroulakis, (2010), “Fuzzy Control optimized by PSO for vibration suppression of beams”, Control Engineering and Practice, 18, 618-629. (Impact Factor 2010: 1.406 – Impact Factor 2012: 1.669 – Five Year Impact Factor: 2.033).

16. Y. Marinakis, M. Marinaki and G. Dounias, (2010), “A Hybrid Particle Swarm Optimization Algorithm for the Vehicle Routing Problem”, Engineering Applications of Artificial Intelligence, 23, 463-472. (Impact Factor 2010: 1.344 – Impact Factor 2012: 1.625 – Five Year Impact Factor: 1.947).

17. A. Kornelakis and Y. Marinakis (2010). “Contribution for optimal sizing of grid-connected PV-systems using PSO”, Renewable Energy, 35, 1333-1341. (Impact Factor 2010: 2.554 – Impact Factor 2012: 2.989 – Five Year Impact Factor: 3.456).

18. M. Marinaki, Y. Marinakis and C. Zopounidis, (2010), “Honey Bees Mating Optimization Algorithm for Financial Classification Problems”, Applied Soft


Computing, 10, 806-812. (Impact Factor 2010: 2.084 – Impact Factor 2012: 2.14 – Five Year Impact Factor: 2.526).

19. Y. Marinakis and M. Marinaki, (2010), “A Hybrid Genetic - Particle Swarm Optimization Algorithm for the Vehicle Routing Problem”, Expert Systems with Applications, 37, 1446-1455. (Impact Factor 2010: 1.924 – Impact Factor 2012: 1.854 – Five Year Impact Factor: 2.339).

20. Y. Marinakis, M. Marinaki and G. Dounias (2010), “Honey Bees Mating Optimization Algorithm for Large Scale Vehicle Routing Problems” Natural Computing, 9, 5-27. (Impact Factor 2012: 0.683).

21. Y. Marinakis and M. Marinaki (2010), “A Hybrid Multi-Swarm Particle Swarm Optimization Algorithm for the Probabilistic Traveling Salesman Problem”, Computers and Operations Research, 37, 432-442. (Impact Factor 2010: 1.769 – Impact Factor 2012: 1.909 – Five Year Impact Factor: 2.374).

22. Y. Marinakis, M. Marinaki, M. Doumpos and C. Zopounidis, (2009), “Ant Colony and Particle Swarm Optimization for Financial Classification Problems”, Expert Systems with Applications, 36, 7, 10604-10611. (Impact Factor 2009: 2.908 – Impact Factor 2012: 1.854 – Five Year Impact Factor: 2.339).

23. Y. Marinakis, G. Dounias and J. Jantzen (2009), “Pap Smear Diagnosis Using a Hybrid Intelligent Scheme Focusing on Genetic Algorithm Based Feature Selection and Nearest Neighbor Classification”, Computers in Biology and Medicine, 39, 1, 69-78. (Impact Factor 2009: 1.269 – Impact Factor 2012: 1.162 – Five Year Impact Factor: 1.359).

24. M. Doumpos, Y. Marinakis, M. Marinaki and C. Zopounidis, (2009). “An Evolutionary Approach to Construction of Outranking Models for Multicriteria Classification: The Case of the ELECTRE TRI Method”, European Journal of Operational Research, 199, 496-505. (Impact Factor 2009: 2.093 – Impact Factor 2012: 2.038 – Five Year Impact Factor: 2.524).

25. Y. Marinakis, M. Marinaki, N. Matsatsinis and C. Zopounidis, (2009). “Evolution of the Population of a Genetic Algorithm using Particle Swarm Optimization: Application to Clustering Analysis”, Operational Research, An International Journal, 9, 105-120.

26. Y. Marinakis, M. Marinaki, G. Dounias, J. Jantzen and B. Bjerregaard, (2009), “Intelligent and Nature Inspired Optimization Methods in Medicine: The Pap-Smear Cell Classification Problem”, Expert Systems. The Journal of Knowledge Engineering, 26, 5, 433-457. (Impact Factor 2009: 1.231 – Impact Factor 2012: 0.769 – Five Year Impact Factor: 0.774).

27. Y. Marinakis, A. Migdalas and P.M. Pardalos, (2009), “Multiple Phase Neighborhood Search GRASP based on Lagrangean Relaxation, Random Backtracking Lin-Kernighan and Path Relinking for the Traveling Salesman Problem”, Journal of Combinatorial Optimization, 17, 134-156. (Impact Factor 2009: 0.867 – Impact Factor 2012: 0.592 – Five Year Impact Factor: 0.71).

28. M. Marinaki, Y. Marinakis and C. Zopounidis (2008) “A Memetic Algorithm for the Identification of Firms Receiving Qualified Audit Reports”, Journal of Computational Optimization in Economics and Finance, Vol. 1, No. 1, 59-71.


29. Y. Marinakis, M. Marinaki and N. Matsatsinis, (2008), “A Stochastic Nature Inspired Metaheuristic for Clustering Analysis”, International Journal of Business Intelligence and Data Mining, 3, 1, 30-44.

30. Y. Marinakis and M. Marinaki, (2008), “A Particle Swarm Optimization Algorithm with Path Relinking for the Location Routing Problem”, Journal of Mathematical Modelling and Algorithms, 7, 1, 59-78.

31. Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis, (2008), “A Hybrid Stochastic Genetic-GRASP Algorithm for Clustering Analysis”, Operational Research, An International Journal, 8, 1, 33-46.

32. Y. Marinakis, M. Marinaki and G. Dounias, (2008), “Particle Swarm Optimization for Pap-Smear Diagnosis”, Expert Systems with Applications, 35, 1645-1656. (Impact Factor 2008: 2.596 – Impact Factor 2012: 1.854 – Five Year Impact Factor: 2.339).

33. Y. Marinakis, A. Migdalas and P.M. Pardalos, (2008), “Expanding Neighborhood Search - GRASP for the Probabilistic Traveling Salesman Problem”, Optimization Letters, 2, 3, 351-361. (Impact Factor 2008: 0.528 – Impact Factor 2012: 1.654 – Five Year Impact Factor: 0.908).

34. Y. Marinakis, M. Marinaki and C. Zopounidis, (2008), “Application of Ant Colony Optimization to Credit Risk Assessment”, New Mathematics and Natural Computation, 4, 1, 107-122.

35. M. Marinaki, Y. Marinakis, M. Doumpos, N. Matsatsinis and C. Zopounidis, (2008), “A Comparison of Several Nearest Neighbor Classifier Metrics Using Tabu Search Algorithm for the Feature Selection Problem”, Optimization Letters, 2, 3, 299-308. (Impact Factor 2008: 0.528 – Impact Factor 2012: 1.654 – Five Year Impact Factor: 0.908).

36. Y. Marinakis and G. Dounias, (2008), “Nature Inspired Intelligence in Medicine: Ant Colony Optimization for Pap-Smear Diagnosis”, International Journal on Artificial Intelligence Tools (IJAIT), 17, 2, 279-301. (Impact Factor 2008: 0.667 – Impact Factor 2012: 0.22 – Five Year Impact Factor: 0.402).

37. Y. Marinakis and M. Marinaki, (2008), “A Bilevel Genetic Algorithm for a Real Life Location Routing Problem”, International Journal of Logistics: Research and Applications, 11, 1, 49-65. (Impact Factor 2010: 0.558 – Impact Factor 2012: 0.482).

38. Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis, (2008), “Optimization of Nearest Neighbor Classifiers via Metaheuristic Algorithms for Credit Risk Assessment”, Journal of Global Optimization, 42, 279-293. (Impact Factor 2008: 1.062 – Impact Factor 2012: 1.307 – Five Year Impact Factor: 1.391).

39. M. Marinaki, Y. Marinakis and C. Zopounidis, (2007), “Application of a Genetic Algorithm for the Credit Risk Assessment Problem”, Foundations of Computing and Decisions Sciences, 32, 2, 139-152.

40. Y. Marinakis and A. Migdalas, (2007), “Annotated Bibliography in Vehicle Routing”, Operational Research an International Journal, 7, 1, 27-46.

41. Y. Marinakis, A. Migdalas and P.M. Pardalos, (2007), “A New Bilevel Formulation for the Vehicle Routing Problem and a Solution Method Using a Genetic Algorithm”, Journal of Global Optimization, 38, 555-580. (Impact Factor 2007: 0.813 – Impact Factor 2012: 1.307 – Five Year Impact Factor: 1.391).


42. Y. Marinakis, A. Migdalas and P.M. Pardalos, (2005), “A Hybrid Genetic - GRASP Algorithm Using Lagrangean Relaxation for the Traveling Salesman Problem”, Journal of Combinatorial Optimization, 10, 311-326. (Impact Factor 2005: 0.291 – Impact Factor 2012: 0.592 – Five Year Impact Factor: 0.71).

43. Y. Marinakis, A. Migdalas and P.M. Pardalos, (2005), “Expanding Neighborhood GRASP for the Traveling Salesman Problem”, Computational Optimization and Applications, 32, 231-257. (Impact Factor 2005: 0.886 – Impact Factor 2012: 1.278 – Five Year Impact Factor: 1.432).

6.3 Papers in Lecture Notes and Books

44. Y. Marinakis, M. Marinaki and A. Migdalas (2014) “A Hybrid Clonal Selection Algorithm for the Vehicle Routing Problem with Stochastic Demands”, Learning and Intelligent Optimization - LION 8, Lecture Notes in Computer Science (LNCS) (accepted), (16-21 February 2014, Gainesville, Florida-USA).

45. M. Marinaki and Y. Marinakis (2014) “An Island Memetic Differential Evolution Algorithm for the Feature Selection Problem”, Nature Inspired Cooperative Strategies for Optimization - NICSO 2013, Studies in Computational Intelligence, Vol 512, G. Terrazas, F.E.B. Otero, A.D. Masegosa (Eds.), Springer, 29-42 (2-4 September 2013, Canturburry, UK)

46. Y. Marinakis and M. Marinaki (2013) “A Hybridized Particle Swarm Optimization with Expanding Neighborhood Topology for the Feature Selection Problem”, M.J. Blesa et al. (Eds.): HM 2013, LNCS 7919, pp. 37–51, ©Springer-Verlag Berlin Heidelberg 2013.

47. Y. Marinakis and M. Marinaki (2013) “A Bilevel Particle Swarm Optimization Algorithm for Supply Chain Management Problems”, E.-G. Talbi (Ed.): Metaheuristics for Bi-level Optimization, Studies in Computational Intelligence (SCI) Vol. 482, pp. 69–93. DOI: 10.1007/978-3-642-37838-6_3 ©Springer-Verlag Berlin Heidelberg 2013

48. Y. Marinakis and M. Marinaki (2013) “Combinatorial Neighborhood Topology Particle Swarm Optimization Algorithm for the Vehicle Routing Problem”, M. Middendorf and C. Blum (Eds.): EvoCOP 2013, LNCS 7832, pp. 133–144, (2013 EvoStar, The 13th European Conference on Evolutionary Computation in Combinatorial Optimization, 3-5 April 2013 Vienna, Austria).

49. Y. Marinakis and M. Marinaki, (2013), “A Hybrid Particle Swarm Optimization Algorithm for the Permutation Flowshop Scheduling Problem”, Optimization Theory, Decision Making, and Operational Research Applications, A. Migdalas et al. (Editors), Springer Proceedings in Mathematics & Statistics 31, DOI 10.1007/978-1-4614-5134-1_6, © Springer Science+Business Media New York 2013, 91-101.

50. Y. Marinakis and M. Marinaki, (2012), “A Hybrid Particle Swarm Optimization Algorithm for the Open Vehicle Routing Problem”, ANTS 2012 Lecture Notes in Computer Science (LNCS) 7461, M. Dorigo et al. (Editors) Springer-Verlag Berlin Heidelberg, 180-187 (8th International Conference on Swarm Intelligence, 12-14 September 2012, Brussels, Belgium).

51. Y. Marinakis and M. Marinaki, (2011), “De.Lo.S.: A Decision Support System for Solving Supply Chain Management Problems”, Proceedings of


the 3rd International Conference on Applied Operational Research – ICAOR, Lecture Notes in Management Science, 3, Gunalay Y. and Kadipasaoglu S. (Eds)., 351-363, ISSN 2008-0050. (23-27 August 2011, Istanbul, Turkey).

52. Y. Marinakis and M. Marinaki, (2011), “Bumble Bees Mating Optimization Algorithm for the Vehicle Routing Problem”, Handbook of Swarm Intelligence – Concepts, Principles and Applications, Bijaya Ketan Panigrahi, Yuhui Shi and Meng-Hiot Lim (Eds.), Series on Adaptation, Learning, and Optimization 8, Springer – Verlang, Berlin, 347-369.

53. Y. Marinakis and M. Marinaki (2010) “Nature Inspired and Classic Metaheuristic Algorithms for Global Unconstrained Optimization Problems. A comparative analysis”, Computational Optimization: New Research Developments, Richard F. Linton and Thomas B. Carroll Jr. (Eds.), 243-263, Nova Science Publishers.

54. Y. Marinakis, M. Marinaki and N. Matsatsinis (2010) “A Bumble bees mating optimization algorithm for global unconstrained optimization problems”, Nature Inspired Cooperative Strategies for Optimization - NICSO 2010, Studies in Computational Intelligence, 284, J.R. Gonzalez et al. (Eds.), Springer-Verlag Berlin, 305-318 (12-14 May 2010, Granada, Spain).

55. G.E. Stavroulakis, N. Kaminakis, Y. Marinakis, M. Marinaki (2009), “Nonconvex, multiobjective problems in topology optimization of mechanisms”, Global Optimization, Theory, Models and Applications I, Lecture Notes in Decision Sciences (LNDS) 12, C. Ma, L. Yu, D. Zhang and Z. Zhou (Eds.), Global-Link Publishers, Tokyo, 8-14 (First World Congress on Global Optimization in Engineering and Science WCGO2009, June 1-5 2009, Changsha and Zhangjiajie, China).

56. Y. Marinakis, M. Marinaki and N. Matsatsinis (2009), “A Hybrid Bumble Bees Mating Optimization – GRASP Algorithm for Clustering”, HAIS 2009, Lecture Notes in Artificial Intelligence (LNΑΙ) 5572, E. Corchado et al. (Eds.), Springer Verlag Berlin Heidelberg, 549-556, (4th International Conference of Hybrid Artificial Intelligence Systems, 10 – 12 June 2009, Salamanca, Spain).

57. Y. Marinakis, (2009), “Metaheuristic Algorithms for the Vehicle Routing Problem”, Encyclopedia of Optimization, 2nd Edition, DOI: 10.1007/978-0-387-74759-0_366, 2055 – 2061, Springer.

58. Y. Marinakis, (2009), “Heuristic and metaheuristic algorithms for the traveling salesman problem”, Encyclopedia of Optimization, 2nd Edition, DOI: 10.1007/978-0-387-74759-0_262, 1499 – 1506, Springer.

59. Y. Marinakis, (2009), “Location Routing Problem”, Encyclopedia of Optimization, 2nd Edition, DOI: 10.1007/978-0-387-74759-0_345, 1919 – 1925, Springer.

60. Y. Marinakis, M. Marinaki and N. Matsatsinis, (2008), “A Hybrid Clustering Algorithm based on Multi-Swarm Constriction PSO and GRASP”, DaWaK 2008, Lecture Notes in Computer Science (LNCS) 5182, I.Y. Song, J. Eder, and T.M. Nguyen (Eds.), Springer-Verlag Berlin Heidelberg, 186-195 (10th International Conference on Data Warehousing and Knowledge Discovery, 1-5 September 2008, Turin, Italy).

61. Y. Marinakis, M. Marinaki and N. Matsatsinis (2008) “A Hybrid Clustering Algorithm based on Honey Bees Mating Optimization and Greedy Randomized Adaptive Search Procedure”, Learning and Intelligent


Optimization - LION 2, Lecture Notes in Computer Science (LNCS) 5313, V. Maniezzo, R. Battiti and J.P. Watson, Springer-Verlag Berlin Heidelberg, 138-152 (8-12 December 2007, Trento, Italy).

62. Y. Marinakis, M. Marinaki and G. Dounias, (2008) “Honey Bees Mating Optimization Algorithm for the Vehicle Routing Problem”, Nature Inspired Cooperative Strategies for Optimization - NICSO 2007, Studies in Computational Intelligence, N. Krasnogor, G. Nicosia, M. Pavone, D. Pelta (Eds.), Springer-Verlag Berlin, Vol. 129, 139-148, (8-10 November 2007, Acireale, Sicily, Italy).

63. Y. Marinakis, A. Migdalas and P.M. Pardalos, (2008) “Cost allocation in Combinatorial Optimization Games”, Pareto Optimality, Game Theory and Equilibria, A. Chinchuluun et al. (eds.), Springer, 217-247.

64. Y. Marinakis, M. Marinaki and N. Matsatsinis, (2007), “A Hybrid Particle Swarm Optimization Algorithm for Clustering Analysis”, DaWaK 2007, Lecture Notes in Computer Science (LNCS) 4654, I.Y. Song, J. Eder, and T.M. Nguyen (Eds.), Springer-Verlag Berlin Heidelberg, 241-250, (9th International Conference on Data Warehousing and Knowledge Discovery, 3-7 September 2007, Regensburg, Germany).

65. Y. Marinakis and A. Migdalas, (2002), “Heuristic Solutions of Vehicle Routing Problems in Supply Chain Management”, Combinatorial and Global Optimization, P.M. Pardalos et al. (eds.), Scientific World, 205-235.

6.4 Papers in International Conferences

66. Y. Marinakis, M. Marinaki and G.E. Stavroulakis (2013) Nature inspired algorithms for the vibration control of beams with piezoelectric sensors and actuators, in CSC2013 The Third International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering, Eds. Y. Tsompanakis, P. Ivanyi and B.H.V. Topping, Civil and Structural Engineering Computational Methods, 129-156, Cagliari, Sardinia, Italy 3-6 September 2013 (invited speaker).

67. Y. Marinakis and M. Marinaki, (2013) Combinatorial Expanding Neighborhood Topology Particle Swarm Optimization for the Vehicle Routing Problem with Stochastic Demands, GECCO: 2013, Genetic and Evolutionary Computation Conference, 6-10 July 2013, Amsterdam, The Netherlands, 49-56.

68. M. Marinaki, Y. Marinakis and G.E. Stavroulakis, (2012), A Differential Evolution Algorithm for Fuzzy Control of Smart Structures, in Proceedings of the Eleventh International Conference on Computational Structures Technology, B.H.V. Topping, (Editor), Civil-Comp Press, Stirlingshire, United Kingdom, 4-7 September 2012, Dubrovnik, Croatia, paper 277, doi:10.4203/ccp.99.277

69. Y. Marinakis and M. Marinaki, (2011) A Honey Bees Mating Optimization Algorithm for the Open Vehicle Routing Problem, GECCO: 2011, Genetic and Evolutionary Computation Conference, 12-16 July 2011, Dublin, Ireland.

70. G.E. Stavroulakis, N. Kaminakis, Y. Marinakis and M. Marinaki (2009), “Multiobjective Global Topology Optimization For Structures And Mechanisms”, 2th South East European Conference on Computational Mechanics, 22-24 June 2009, Rhodes, Greece.


71. Y. Marinakis, M. Marinaki and N. Matsatsinis, (2009), “A Hybrid Discrete Artificial Bee Colony – GRASP Algorithm for Clustering”, 39th International Conference on Computers and Industrial Engineering, 6 - 8 July 2009, Troyes, France.

72. Y. Marinakis and M. Marinaki, (2009), “A Hybrid Honey Bees Mating Optimization Algorithm for the Probabilistic Traveling Salesman Problem”, IEEE Congress on Evolutionary Computation (CEC 2009), 18-21 May 2009, Trondheim, Norway.

73. G.E. Stavroulakis, N. Kaminakis, Y. Marinakis, M. Marinaki and N. Skarros, (2008), “Optimal Structural and Mechanism Design using Topology Optimization”, International Conference on Modeling and Simulation 08, 18-20 November 2008, Petra, Jordan.

74. Y. Marinakis, M. Marinaki and G.E. Stavroulakis, (2008), Particle Swarm Optimization Approach for Fuzzy Control of Smart Structures”, in M. Papadrakakis, B.H.V. Topping, (Editors), 6th International Conference on Engineering Computational Technology (ECT 2008), 2-5 September 2008, Athens, Greece, Publisher: Civil-Comp Press, Stirlingshire, UK, doi:10.4203/ccp.89.80.

75. Y. Marinakis, M. Marinaki and N. Matsatsinis, (2008), “Honey Bees Mating Optimization for the Location Routing Problem”, IEEE International Engineering Management Conference (IEMC – Europe 2008), 28-30 June 2008, Estoril, Portugal.

76. Y. Marinakis, M. Marinaki and G.E. Stavroulakis, (2008), “Particle Swarm Optimization for Structural Control”, 6th GRACM International Congress on Computational Mechanics, 19-21 June 2008, Thessaloniki, Greece.

77. Y. Marinakis, M. Marinaki, N. Matsatsinis and C. Zopounidis, (2008), “A Memetic-GRASP Algorithm for Clustering”, 10th International Conference on Enterprise Informations Systems (ICEIS), 13-16 June 2008, Barcelona, Spain.

78. N. Thomaidis, Y. Marinakis, M. Marinaki and G. Dounias, (2007), “Training Neural Network Based Models Using Trading Related Objective Functions”, NISIS 2007, 3rd Annual Symposium, 26-27 November 2007, St Julians, Malta.

79. N. Thomaidis, Y. Marinakis, M. Marinaki and G. Dounias, (2007), “Optimization of Complex Financial Models Using Nature Inspired Techniques”, NISIS 2007, 3rd Annual Symposium, 26-27 November 2007, St Julians, Malta.

80. Y. Marinakis, M. Marinaki and G. Dounias, (2007), “Honey Bees Mating Optimization Algorithm for Combinatorial Optimization Problems”, NISIS 2007, 3rd Annual Symposium, 26-27 November 2007, St Julians, Malta.

81. V. Vassiliadis, N. Thomaidis, Y. Marinakis, M. Michalopoulos, G. Dounias, (2007), “Investigating Interrelations of Major International Stock Markets with the Use of Econometric and Intelligent Approaches”, SIGEF 2007, XIV Congress of International Association for Fuzzy-Set Management and Economy, 1-3 November 2007, Poiana, Brasov, Romania.

82. Y. Marinakis and G. Dounias, (2006), “Nature Inspired Intelligent Techniques for Pap Smear Diagnosis: Ant Colony Optimization for Cell Classification”, The Pap Smear Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear Diagnosis, Special Session Proceedings of the NISIS - 2006


Symposium, 35 - 45, November 29 - December 1, 2006, Puerto de la Cruz, Tenerife, Spain.

83. Y. Marinakis and G. Dounias, (2006), “Pap Smear Diagnosis Using a Hybrid Intelligent Scheme Focusing on Genetic Algorithm Based Feature Selection and Nearest Neighbor Classification”, The Pap Smear Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 15-24, November 29 - December 1, 2006, Puerto de la Cruz, Tenerife, Spain.

84. Y. Marinakis and G. Dounias, (2006), “Nearest Neighbor Based Pap Smear Cell Classification Using Tabu Search for Feature Selection”, The Pap Smear Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 25-34, November 29 - December 1, 2006, Puerto de la Cruz, Tenerife, Spain.

85. Y. Marinakis, A. Migdalas and L. Pitsoulis, (2002), “Parallel GRASP for routing on trees with time windows”, Proceedings of the 4th GRACM Congress on Computational Mechanics, June 2002, Patra, Greece.

6.5 Papers’ Abstracts in International Conferences

86. Y. Marinakis and A. Migdalas, (2013), Multiobjective Particle Swarm Optimization for a Multicast Routing Problem, Examining Robustness and Vulnerability of Critical Infrastructure, NATO Advanced Research Workshop, June 3-5, 2013, Kyiv, Ukraine

87. Y. Marinakis and A. Migdalas, (2013), Heuristic and Metaheuristic Routing, 3rd International Conference on Network Analysis, May 20 – 22, 2013 in Nizhny Novgorod, Russia.

88. Y. Marinakis, A. Migdalas and A. Sifaleras (2012), “A hybrid Particle Swarm Optimization - Variable Neighborhood Search Algorithm for Constrained Shortest Path Problems”, EUROmC – XXVIII – VNS Conference, 4-7 October 2012, Herceg Novi, Montenegro.

89. Y. Marinakis, M. Marinaki, N. Matsatsinis and C. Zopounidis, (2010), “A Nature Inspired Multiobjective Optimization Algorithm for Supply Chain Management Problem”, 72th Meeting of the Working Group “Multiple Criteria Decision Aiding”, 7-9 October 2010, Paris, France.

90. M. Marinaki, Y. Marinakis, C. Zopounidis, (2010), “A Clonal Selection Algorithm for Financial Classification Problems”, 9th Special Conference of HELORS on “Quantitative Models in the Managerial and Financial Decision Making”, 27-29 May 2010, Agios Nikolaos, Crete, Greece.

91. M. Doumpos, Y. Marinakis, M. Marinaki, C. Zopounidis, (2007), “Evolutionary approaches for the development of outranking relation models in classification problems”, 66th Meeting of the European Working Group “Multiple Criteria Decision Aiding”, 18-20 October 2007, Marrakesh, Morocco.

92. Y. Marinakis, M. Marinaki and N. Matsatsinis, (2007), “A Stochastic Nature Inspired Metaheuristic for Clustering Analysis”, Book of Abstracts 22nd European Conference on Operational Research EURO XXII, 8-11 July 2007, Prague, Czech.

93. M. Doumpos, Y. Marinakis, M. Marinaki, and C. Zopounidis, (2007), “Evolutionary approaches for the development of outranking relation models


in classification problems”, Book of Abstracts 22nd European Conference on Operational Research EURO XXII, 8-11 July 2007, Prague, Czech.

94. Y. Marinakis, M. Marinaki, M. Doumpos and C. Zopounidis, (2007), “Ant Colony and Particle Swarm Optimization for Financial Classification Problems”, Book of Abstracts 22nd European Conference on Operational Research EURO XXII, 8-11 July 2007, Prague, Czech.

95. Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis, (2007), “A New Metaheuristic Algorithm for Cluster Analysis”, Book of Abstracts of the 5th International Conference on Advances in Global Optimization: Methods and Applications, June 13 - 17, 2007, Myconos, Greece.

96. Y. Marinakis, M. Marinaki, M. Doumpos, Y. Efremides, N. Matsatsinis and C. Zopounidis, (2006), “Metaheuristic Algorithms for Feature Selection in Credit Risk Assessment”, Book of Abstracts of the MCDA64, 28-30 September 2006, Larisa, Greece.

97. Y. Marinakis and A. Migdalas, (2005), “Bilevel Formulations for Type Routing Problems and a Solution Method Using a Genetic Algorithm”, Book of Abstracts of Multilevel Optimization: Algorithms and Applications, 15-17 May 2005, Chania, Greece.

98. Y. Marinakis, A. Migdalas, P.M. Pardalos and M. Marinaki, (2005), “A Hybrid Genetic - GRASP Algorithm for the Vehicle Routing Problem”, Book of Abstracts of the 4th Annual Florida Supply Chain Management Conference, 25-27 February 2005, DoubleTree, Cocoa Beach, Florida, USA.

99. Y. Marinakis and A. Migdalas, (2003), “A Two Phase Local Search GRASP for the Traveling Salesman Problem”, Book of Abstracts of the First International Conference on Computational Management Science, 27 - 30 May 2003, Almyrida, Chania, Greece.

100. A. Migdalas and Y. Marinakis, (2003), “A Bilevel Programming Approach to the Location Routing Problem”, Book of Abstracts of the International Workshop on Computational Management Science, Economics, Finance and Engineering, 28-30 March 2003, Limassol, Cyprus.

6.6 Papers in National Conferences

101. M. Marinaki, Y. Marinakis and C. Zopounidis, (2008), “A Honey Bees Mating Optimization Algorithm for the Multigroup Credit Risk Assessment Problem”, 7th Conference of the Hellenic Finance and Accounting Association, 12-13 December 2008, Chania, Crete, Greece.

102. Y. Marinakis and A. Migdalas, (2002), “A Greedy Randomized Adaptive Search Procedure (GRASP) for the Vehicle Routing Problem”, Proceedings of the 15th National Congress of EEEE, 31 October - 2 November 2002, Tripoli, Greece.

103. M. Kourgiantakis, Y. Marinakis and A. Migdalas, (2002), “Modeling and Analysis of Supply Chain Using Petri Nets”, Proceedings of the 15th National Congress of EEEE, 31 October - 2 November 2002, Tripoli, Greece.

6.7 Papers’ Abstracts in National Conferences


104. I. Rogdakis and Y. Marinakis (2010) “A Decision Support System for Supply Chain Management”, 1st National Student Conference of EEEE, 25-27 November 2010, Athens, Greece.

105. A. Maninakis and Y. Marinakis (2010) “Solving the Location Routing Problem using a Memetic Algorithm” 1st National Student Conference of EEEE, 25-27 November 2010, Athens, Greece.

106. Y. Marinakis, M. Marinaki, N. Matsatsinis and C. Zopounidis, (2007), “Evolution of the population of a Genetic Algorithm using Particle Swarm Optimization - Application to Clustering Analysis”, Book of Abstracts of the 5th Meeting of Multicriteria Decision Analysis, 27-28 September 2007, Chania, Greece.

107. Y. Marinakis, M. Marinaki, and N. Matsatsinis, (2007), “Ant Colony Optimization Algorithm for the Vehicle Routing Problem with Stochastic Demand”, Book of Abstracts, 19th National Conference of EEEE, 21-23 June 2007, Arta, Greece.

108. Y. Marinakis, M. Marinaki, G. Dounias and C. Zopounidis, (2007), “Metaheuristic Algorithms in Medicine. The Pap-Smear Cell Classification Problem”, Book of Abstracts of the ECO-Q Management and Quality in Health Care, 30-31 March 2007, Chania, Greece.

109. Y. Marinakis, M. Marinaki, M. Doumpos, N. Matsatsinis and C. Zopounidis, (2006), “Optimization of Nearest Neighbor Classifiers via Metaheuristic Algorithms used for the Credit Risk Assessment Classification Task”, Book of Abstracts of the 4th Meeting of Multicriteria Decision Analysis, 27-28 September 2006, Larisa, Greece.

6.8 Papers in Greek Scientific Journals and Books

110. Marinakis, Y, Marinaki, M. and C. Zopounidis (2010), “Honey Bees’ Case Study! When then nature inspire mathematics…”, Scientific Marketing, 74, 93-99.

111. Marinaki, M., Marinakis, Y. and C. Zopounidis (2008), “Genetic Algorithms and Credit Risk Assessment”, Scientific Marketing, 49, 99-103 (in Greek).

112. Marinakis, Y., Marinaki, M., Dounias, G., Jantzen, J. and C. Zopounidis (2007), “Metaheuristic Optimization Algorithms in Medicine: The Pap-Smear Problem”, Issues of Management of Medicine Services, C. Zopounidis (Ed.), 147 – 161, Kleidarithmos (in Greek).

113. Marinakis, Y., Marinaki, M., Doumpos, M., Matsatsinis, N. and C. Zopounidis (2007), “A Hybrid Tabu Seach and Greedy Randomized Adaptive Search Procedure Algorithm for the Clustering Problem”, Decision Systems with Multiple Criteria, N. Matsatsinis and C. Zopounidis (Eds.), 133-145, Kleidarithmos (in Greek).

6.9 Book Editing

114. D. Askounis, Y. Marinakis and A. Nearxou, (2012), Editing Greek Version of the book Operations and Supply Chain Management, F. Robert Jacobs and Richard B. Chase (Publisher McGraw-Hill Irwin), P.X. Pasxalidis Publishers, Broken Hill Publishers Ltd, ISBN 978-960-489-149-8.


6.10 Other Publications

115. Zopounidis C, Marinakis Y and M. Marinaki: “Basic Models for Financial Decisions. Honey Bees, Ants and Credit Risk Assessment”, Kerdos, 16/01/2011.

116. Zopounidis C, Marinakis Y and M. Marinaki: “Honey Bees, Ants and Credit Risk Assessment”, Naftemporiki, 19/08/2010.

117. Marinakis, Y., Marinaki, M., and C. Zopounidis: “Honey Bees’ Behaviour and Credit Risk Assessment”, Kathimerini, 31/07/2010.

118. Marinakis, Y., Marinaki, M., and C. Zopounidis,: “Ants in the role of … a Banker!”, BHMASCIENCE, Biosystems, 25/07/2010.

119. Marinakis, Y., Marinaki, M., and C. Zopounidis, “When the Nature Inspire Mathematics”, Xaniotika Nea Journal, 22/06/2010.

120. Marinakis, Y., Marinaki, M., and C. Zopounidis: “Τhe crossword puzzle in the management of transfers. The Link between Production, Storage and Consumption”. Open MBA, The Secrets of Business Management. C’ Cycle, Issue 17, 11/06/2007.

121. Marinakis, Y., Marinaki, M., and C. Zopounidis: “The Service of Customers Demands Skills and Priorities. The Challenges and the Fine Balances in the Distribution of Goods”. Open MBA, The Secrets of Business Management. C’ Cycle, Issue 16, 04/06/2007.

122. Marinakis, Y., Marinaki, M., and C. Zopounidis: “The Puzzle of Distribution. How Decisions are Taken in Supply Chain”. Open MBA, The Secrets of Business Management. C’ Cycle, Issue 16, 04/06/2007.

123. Marinakis, Y., Marinaki, M., and C. Zopounidis: “The Demand Prediction in Supply Chain. Management without Surprises”. Open MBA, The Secrets of Business Management. C’ Cycle, Issue 15, 21/05/2007.

124. Marinakis, Y., Marinaki, M., and C. Zopounidis: “The Right Location of Facilities leads to Rapid Growth. A Crucial Issue for Supply Chain”. Open MBA, The Secrets of Business Management. C’ Cycle, Issue 15, 21/05/2007.

125. Marinakis, Y., Marinaki, M., and C. Zopounidis: “Decision Support Systems in Supply Chain. The Computer Gives the Solution”. Open MBA, The Secrets of Business Management. C’ Cycle, Issue 15, 21/05/2007.

6.11 Research and Development Reports

126. Yannis Marinakis, Repoussis Panagiotis, Christos Tarantilis, Yiannis Mourtos: Energy-Driven Optimization Algorithms Report, ARTISAN Energy-aware enterprise systems for low-carbon intelligent operations Strep Project - ICT for a Low Carbon Economy Program¸ Eu Project No.: 287933, June 2012.

127. Marinakis Y, Migdalas A.: Network for Developing Theory, Methods and Applications of Nonsmooth Analysis and Optimization, Final Report of the project INTAS 97-31854, Brussels, Belgium, April 2002.

128. Poulimenos, A., Papageorgiou, M., Kotsialos, A., Marinakis, Y.: Comparison and Evaluation Results. Deliverable 3.4.1 of the project DELPHI (26965), European Programme ESPRIT, Brussels, Belgium, October 2000.

129. Poulimenos, A., Papageorgiou, M., Kotsialos, A., Marinakis, Y.: Calibration and Verification of Prediction Parameters. Deliverable 3.3.1 of the


project DELPHI (26965), European Programme ESPRIT, Brussels, Belgium, February 2000.

6.12 Lecture Notes

130. Marinakis Y.: Seminar Notes for Computer Programming in Matlab Environment (VERSION 7.0.1 - Release 14), Postgraduate Studies Programme, Department of Financial and Management Engineering, March 2006.

131. Marinakis Y., Migdalas A.: Combinatorial Optimization, Department of Production Engineering and Managemen, Technical University of Crete, 3th Edition, October 2008, 2nd Edition, August 2005, 1st Edition, Sebtember 2002.

132. Migdalas A., Marinakis Y., Mavromamati A.: Modelling and Optimization in Supply Chain Management Department of Production Engineering and Managemen, Technical University of Crete, 2003.

133. Tsinarakis G., Μαρινάκης Y., Lomvardou S.: Informatics Ι, Department of Natural Resources and Environment, Technological Institute of Crete - Branch of Chania, Academic Year 2002-2003.

134. Migdalas A., Marinakis Y.: Introduction to LINGO, Department of Production Engineering and Managemen, Technical University of Crete, October 2001.

7. HONORS

1. The paper “Y. Marinakis, M. Marinaki and G. Dounias, (2011), Honey Bees Mating Optimization Algorithm for the Euclidean Traveling Salesman Problem, Information Sciences, 181, 4684 – 4698”, was ranked: 19th based on Top 25 Hottest Articles in the subject area “Mathematics”,

Elsevier, July to September 2010, 10th based on Top 25 Hottest Articles in Information Sciences, Elsevier,

July to September 2010, 18th based on Top 25 Hottest Articles in Information Sciences, Elsevier,

October to December 2010, 24th based on Top 25 Hottest Articles in Information Sciences, Elsevier,

July to September 2011. 2. The paper “Y. Marinakis, M. Marinaki and G. Dounias, (2010), A Hybrid

Particle Swarm Optimization Algorithm for the Vehicle Routing Problem, Engineering Applications of Artificial Intelligence, 23, 463-472” was ranked: 1st based on Top 25 Hottest Articles in Engineering Applications of

Artificial Intelligence, Elsevier, April to June 2010, 7th based on Top 25 Hottest Articles in Engineering Applications of

Artificial Intelligence, Elsevier, July to September 2010, 4th based on Top 25 Hottest Articles in Engineering Applications of

Artificial Intelligence, Elsevier, January to December 2011 full year, 11th based on Top 25 Hottest Articles in Engineering Applications of

Artificial Intelligence, Elsevier, April to June 2011, 9th based on Top 25 Hottest Articles in Engineering Applications of

Artificial Intelligence, Elsevier, October to December 2011,


6th based on Top 25 Hottest Articles in Engineering Applications of Artificial Intelligence, Elsevier, January to March 2012.

3. The paper “M. Marinaki, Y. Marinakis and C. Zopounidis, (2010), Honey Bees Mating Optimization Algorithm for Financial Classification Problems, Applied Soft Computing, 10, 806-812” was ranked: 12th based on Top 25 Hottest Articles in Applied Soft Computing, Elsevier,

April to June 2010, 23rd based on Top 25 Hottest Articles in Applied Soft Computing,

Elsevier, July to September 2010. 4. The paper “Y. Marinakis and M. Marinaki (2010), A Hybrid Multi-Swarm

Particle Swarm Optimization Algorithm for the Probabilistic Traveling Salesman Problem, Computers and Operations Research, 37, 432-442” was ranked: 10th based on Top 25 Hottest Articles in Computers and Operations

Research, Elsevier, October to December 2009, 18th based on Top 25 Hottest Articles in Computers and Operations

Research, Elsevier, October 2009 to September 2010 Academic Year . 5. Scholarships from the Foundation of National Scholarships for the years 1996-

97 and 1997-98. 6. Scholarships from the the Technical Chamber of Greece for the years 1996-97

και 1997-98. 7. Postgraduate Scholar in the Technical University of Crete from January 2000

to February 2002. 8. REVIEWER IN INTERNATIONAL JOURNALS AND CONFERENCES

Total 271 Journals with Impact Factor 187

Impact Factor Number

Applied Soft Computing 2,14 35

Engineering Applications of Artificial Intelligence 1,625 21

Computers and Operations Research 1,909 18

Soft Computing 1,124 13

IEEE Transactions on Evolutionary Computation 4,81 12

European Journal of Operational Research 2,038 10

Optimization Letters 1,654 10

Information Sciences 3,643 9

Applied Mathematics and Computation 1,349 7

International Journal of Artificial Intelligence Tools 0,22 4

The Scientific World Journal 1,73 4

Neural Computing & Applications 1,168 3

Neurocomputing 1,634 3

Applied Mathematics and Modelling 1,706 2

Communications in Nonlinear Science and Numerical Simulations 2,773 2

International Journal of Machine Tools & Manufacture 2,262 2


Journal of Zhejiang University SCIENCE A 0,527 2

Transportation Research C 2,006 2

IEEE Computational Intelligence Magazine 4,629 1

Omega 3,024 1

IEEE Transactions on Power Systems 2,921 1 IEEE Transactions on Systems, Man, and Cybernetics--Part C: Applications and Reviews 2,548 1

Transportation Research Part E 2,272 1

Expert Systems with Applications 1,854 1

Energies 1,844 1 International Journal of Production Research 1,46 1

Mathematical Problems in Engineering 1,383 1

Entropy 1,347 1

International Journal of Systems Science 1,305 1

Transportation Research Part D 1,291 1

IIE Transactions 1,287 1

Simulation Modelling Practice and Theory 1,159 1

Annals of Operations Research 1,029 1

Environmental Modeling and Assessment 0,977 1

Engineering Optimization 0,962 1

Journal of Classification 0,865 1

TOP 0,843 1

Journal of Applied Mathematics 0,834 1

Journal of Intelligent and Robotic Systems 0,827 1 Optimization A Journal of Mathematical Programming and Operations Research 0,707 1

Connection Science 0,706 1

Journal of earth systems sciences 0,695 1

Journal of Combinatorial Optimization 0,592 1

International Journal of Electronics and Communications 0,551 1

International Journal of Computer Mathematics 0,5 1

International Journal of Logistics 0,482 1

Journals without Impact Factor 29

Memetic Computing 8

Operational Research. An International Journal 4

Swarm and Evolutionary Computation 4

Human Systems Management 2

International Journal of Information Technology & Decision Making 2

African Journal of Biotechnology 1

Energy Systems 1

International Journal of Data Analysis Techniques and Strategies 1

International Journal of Management Science and Engineering Management 1

New Mathematics and Natural Computation 1

Recent Patents on Electrical Engineering 1


Scientia Iranica 1

Scientific Research and Essayes 1

World Journal of Modeling and Simulation 1 Conferences 55

19th IEEE International Conference on Tools with Artificial Intelligence, 2007 2

8th International Conference on Swarm Intelligence - ANTS 2012 2

10th Balcan Conference of Operations Research - BALCOR 2011 4 Third International Conference on Computational Aspects of Social Networks CASON 2011 2 Fourth International Conference on Computational Aspects of Social Networks CASON 2012 1 Fifth International Conference on Computational Aspects of Social Networks CASON 2013 1

EUROmC – XXVIII – VNS Conference 2

Genetic and Evolutionary Computation Conference - GECCO 2011 5

Genetic and Evolutionary Computation Conference - GECCO 2012 3

Genetic and Evolutionary Computation Conference - GECCO 2013 5 5th International Conference on Hybrid Artificial Intelligence Systems - HAIS 2010 2 6th International Conference on Hybrid Artificial Intelligence Systems - HAIS 2011 1 7th International Conference on Hybrid Artificial Intelligence Systems - HAIS 2012 1 8th International Conference on Hybrid Artificial Intelligence Systems - HAIS 2013 2 2nd International Conference on Computer and Communication Technology ICCCT 2011 2 International Conference of Numerical Analysis and Applied Mathematics 2009 1 21st Mediterranean Conference on Control and Automation - MED 2013 2 Third World Congress on Nature and Biologically Inspired Computing NABIC 2011 1 Fourth World Congress on Nature and Biologically Inspired Computing NABIC 2012 2 Fifth World Congress on Nature and Biologically Inspired Computing NABIC 2013 2 7th International Conference on Next Generation Web Services Practices - NWESP 2011 4 8th International Conference on Next Generation Web Services Practices - NWESP 2012 1 World Congress on Information and Communication Technologies - WICT 2012 7

9. MEMBER OF THE ORGANIZING COMMITTEE OF THE INTERNATIONAL CONFERENCES [2005] Multilevel Optimization: Algorithms and Applications, May 15-17, Chania,

Crete, Greece. [2003] First International Conference on Computational Management, May 27-30,

Almyrida, Crete, Greece.


10. MEMBER OF THE SCIENTIFIC COMMITTEE OF THE INTERNATIONAL CONFERENCES [2014] World Congress on Information and Communication Technologies (WICT

2014), Malacca, Malaysia, 08-11 December 2014. [2014] 6th International Conference on Soft Computing and Pattern Recognition

(SoCPaR 2014), 11-14 August 2014, Tunis, Tunisia [2014] Sixth International Conference on Computational Aspects of Social Networks

(CaSON 2014), 30 July -1 August 2014, Porto, Portugal [2014] Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC

2014), 30 July -1 August 2014, Porto, Portugal [2014] Genetic and Evolutionary Computation Conference (GECCO 2014), Ant

Colony Optimization and Swarm Intelligence Track, Vancouver, BC, Canada, 12-16 July, 2014

[2014] 9th International Conference on Hybrid Artificial Intelligence Systems, Salamanca, Spain, 11-13 June 2014

[2013] 9th International Conference on Next Generation Web Services Practices (NwESP 2013), 07-08 December 2013, Casablanca, Morocco

[2013] 8th International Conference on Hybrid Artificial Intelligence Systems, Salamanca, Spain, 11-13 September 2013

[2013] The Third International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering, Cagliari, Sardinia, Italy, 3-6 September 2013.

[2013] Fifth International Conference on Computational Aspects of Social Networks (CaSON 2013), 12-14 August 2013, Fargo, North Dacota, USA

[2013] Fifth World Congress on Nature and Biologically Inspired Computing (NaBIC 2013), 12-14 August 2013, Fargo, North Dacota, USA

[2013] Genetic and Evolutionary Computation Conference (GECCO 2013), Ant Colony Optimization and Swarm Intelligence Track, Amsterdam, The Netherlands, 6-10 July, 2013

[2012] EUROmC – XXVIII – VNS Conference, 4-7 October 2012, Herceg Novi, Montenegro.

[2012] World Congress on Information and Communication Technologies (WICT 2012), India, October 30 - November 2, 2012.

[2012] Swarm, Evolutionary and Memetic Computing Conference (SEMCCO 2012), 20-22 December 2012, Bhubaneswar, Orissa, India

[2012] 8th International Conference on Next Generation Web Services Practices (NwESP 2012), 21-23 November 2012, Sao Carlos, Brazil

[2012] Fourth International Conference on Computational Aspects of Social Networks (CaSON 2012), 21-23 November 2012, Sao Carlos, Brazil

[2012] Fourth World Congress on Nature and Biologically Inspired Computing (NaBIC 2012), 5-9 November 2012, Mexico City, Mexico

[2012] ANTS 2012: 8th International Conference on Swarm Intelligence, Brussels, Belgium, 12-14 September 2012

[2012] Genetic and Evolutionary Computation Conference (GECCO 2012), Ant Colony Optimization and Swarm Intelligence Track, Philadelphia, USA, 7-11 July, 2012

[2012] 7th International Conference on Hybrid Artificial Intelligence Systems, Salamanca, Spain, 28-30 March 2012


[2011] Third World Congress on Nature and Biologically Inspired Computing (NaBIC 2011), 19-21 October 2011, Salamanca, Spain

[2011] Third International Conference on Computational Aspects of Social Networks (CaSON 2011), 19-21 October 2011, Salamanca, Spain

[2011] Seventh International Conference on Next Generation Web Services Practices (NwESP 2011), 19-21 October 2011, Salamanca, Spain

[2011] Genetic and Evolutionary Computation Conference (GECCO 2011), Ant Colony Optimization and Swarm Intelligence Track, Dublin, Ireland, 12-16 July, 2011

[2011] 6th International Conference on Hybrid Artificial Intelligence Systems, Wroclaw, Poland, 23-25 May 2011

[2010] 1st National Conference of the Finance Engineering and Banking Society, Athens, Greece, 3-4 December 2010

[2010] 5th International Conference on Hybrid Artificial Intelligence Systems, San Sebastian, Spain, 23-25 June 2010

[2010] 9th Special Conference of the Hellenic Operational Research Society, Quantitative Models in the Managerial and Financial Decision Making, Agios Nikolaos 28 - 29 May 2010.

[2009] 4th International Conference on Hybrid Artificial Intelligence Systems, Salamanca, Spain, 10-12 June 2009.

11. COMPUTER SKILLS Operating Systems: Unix, Linux, DOS, Windows 3.1, 95, NT, 98, 2000,

Millennium, XP Programming Languages: Visual Basic, C, C++, Fortran(77,90,95), Html, PHP Packages: MatLab, LINDO, LINGO, MPL, SciLab, Microsoft

Office, Star Office, Visio, Ms Project, DreamWeaver, Winteracter, Simul8

12. RESEARCH INTERESTS

Nature Inspired Algorithms Supply Chain Management Stochastic Optimization Algorithms Stochastic Optimization Game Theory Logistics Vehicle Routing and Distributions Operations Research Metaheuristic Algorithms Structural Control Optimal Control Data Mining Environmental Management and Decision Making Quantitative Methods of Management

Financial Decision Making Combinatorial Optimization


Bilevel Programming Production Systems.

13. OTHER INFORMATION

1. Member of the Greek Society of Operations Research since September 2006. 2. Member of the EU/ME European Chapter on Metaheuristics 3. Member of the group Multiple Criteria Decision Aiding (MCDA) 4. Member of the Finance Engineering and Banking Society 5. Member of the Euro Working Group on Vehicle Routing and Logistics

Optimization (VeRoLog) 14. SUPERVISION OF MASTER THESES

1. An Artificial Bee Colony Algorithm for Vehicle Routing Problems. Maragkoudakis Andreas, March 2013.

2. A Clonal Selection Algorithm for the Solution of the Permuation Flowshop Scheduling Problem, Rapanaki Emmanouela, November 2012, Department of Production Engineering and Management.

3. Nature Inspired Methods for the Solution of the Vehicle Routing Problem with Stochastic Demand, Georgia Roumbini Iordanidou, October 2012, Department of Production Engineering and Management.

4. Honey Bees Mating Optimization Algorithm for the Solution of the Traveling Salesman Problem with Multiple Objective Functions, Psychas Dimitrios-Iraklis, October 2012, Department of Production Engineering and Management.

5. A Clonal Selection Algorithm for the Solution of the Traveling Salesman Problem with Multiple Objective Functions, Delimpasi Eleni, October 2012, Department of Production Engineering and Management.

6. Applying Artificial Bee Colony for Facility Location Problems, Paizakis Panagiotis, July 2012, Department of Production Engineering and Management.

7. Particle Swarm Optimization Algorithm for the Solution of the Multi-Depot Vehicle Routing Problem, Alevizos Mixalis, March 2012, Department of Production Engineering and Management.

8. A Memetic Algorithm for the Vehicle Routing Problem with Time Windows, Dimitroulas Dionisios, January 2012, Department of Production Engineering and Management.

9. A Honey Bees Mating Optimization Algorithm for the Single Source Capacitated Facility Location Problem, Psimoulis Stavros, January 2012, Department of Production Engineering and Management.

10. Modeling and Solution Algorithms for Ship Routing Problems, Tsampas Petros, March 2011, Department of Production Engineering and Management.

11. Efficient Handling of Material Equipment in an Airline Company, Dolapsaki Evangelia, November 2010, Department of Production Engineering and Management.

12. A Decision Support System for the Solution of Supply Chain Management Problems using Evolutionary Algorithms, Rogdakis Ioannis, November 2010, Department of Production Engineering and Management.


13. Application of Metaheuristic Algorithms in Network Design Problems, Tzilivakis Antonios, November 2010, Department of Production Engineering and Management.

14. An Artificial Immune System Algorithm for the Solution of the Vehicle Routing Problem, Eutyxia Georgiou, April 2010, Department of Production Engineering and Management.

15. An Evolutionary Algorithm for the Solution of Bilevel Programming Problems, Vlassi Antonella, March 2010, Department of Production Engineering and Management.

16. An Evolutionary Algorithm for the Vehicle Routing Problem with Stochastic Demand, Spanou Paraskevi, February 2010, Department of Production Engineering and Management.

17. Solution of the Timetable Problem using Nature Inspired Algorithms, Vittorias Michael, January 2010, Department of Production Engineering and Management.

18. Optimal Sizing of Grid-connected PV-systems using Genetic Algorithms and Nature Inspired Algorithms, Kornelakis Aris, 2009, Department of Production Engineering and Management.

19. The Vehicle Routing Problem with Stochastic Demands and Time Windows, Vasilikou Amalia, 2008, Department of Financial and Management Engineering.

15. SUPERVISION OF DIPLOMA THESES

1. A Tabu Search Algorithm for the Inventory Routing Problem, Markoulakis Basileios, October 2013.

2. An ACO algorithm for the Cummulative Capacitated Vehicle Routing Problem, Kyriakakis Nikolaos-Antonios, October 2013.

3. An Evolutionary Algorithm for the Job Shop Scheduling Problem, Zografos Georgios, October 2013.

4. A Metaheuristic Algorithm for the Flowshop Scheduling Problem, Kourouniotis Georgios, October 2013.

5. An Island Genetic Algorithm for the Multidepot Vehicle Routing Problem, Mpantouvakis Georgios – Panagiotis, July 2013.

6. The Multidepot Vehicle Routing Problem, Kompotis Panagiotis, April 2013. 7. An Ant Colony Optimization algorithm for the Vehicle Routing Problem with

Time Windows, Timotheatos Panagiotis, March 2013 8. Optimization of the Dynamic Assymetric Traveling Salesman Problem,

Basilakakos Basilios, March 2013 9. Ant Colony Optimization Algorithm for the Solution of the P-median Problems

and the Capacitated Facility Location Problems, Xidias Georgios, (co-supervision with G. Stavrakakis), November 2012.

10. Particle Swarm Optimization Algorithm for the Solution of the Inventory Routing Problem, Dafermos Stelios, October 2012, Department of Production Engineering and Management.

11. Hybrid Differential Evolution Algorithms for the Flowshop Scheduling Problem. A Real Life Application for a Flexible Flowshop Scheduling Problem, Depounti Oraiozili, October 2012, Department of Production Engineering and Management.


12. Evolutionary Algorithm for the Selective Traveling Salesman Problem, Politis Michael, September 2012, Department of Production Engineering and Management.

13. Memetic Algorithms for the Solution of the Location Routing Problem, Maninakis Andreas, March 2012, Department of Production Engineering and Management.

14. Ejection Chain Algorithm for the TSP and VRP, Stamatopoulos Eustathios, December 2011, Department of Production Engineering and Management.

15. A Tabu Search Algorithm for the Vehicle Routing Problem with Time Windows, Kollias Konstantinos, May 2011, Department of Production Engineering and Management.

16. A Genetic Algorithm for the Solution of Inventory Routing Problem, Xavdoulas Leonidas, March 2011, Department of Production Engineering and Management.

17. A Particle Swarm Optimization Algorithm for the Vehicle Routing Problem with Stochastic Demands, Georgia Roumbini Iordanidou, March 2011, Department of Production Engineering and Management.

18. Inventory Control in Supply Chain Management. The Inventory Routing Problem, Gymnopoulos Konstantinos, February 2011, Department of Production Engineering and Management.

19. A Differential Evolution Algorithm for the Multiobjective Traveling Salesman Problem, Psychas Dimitrios-Iraklis, December 2010, Department of Production Engineering and Management.

20. A Particle Swarm Optimization Algorithm for the Multiobjective Traveling Salesman Problem, Delimpasi Eleni, December 2010, Department of Production Engineering and Management.

21. An Ant Colony Optimization of the Open Vehicle Routing Problem, Aurilionis Spyridon, November 2010, Department of Production Engineering and Management.

22. A Tabu Search Algorithm for the Vehicle Routing Problem, Mylonas Ippokratis, October 2010, Department of Production Engineering and Management.

23. Index Tracking through the implementation of a Multiobjective Metaheuristic Algorithm, Pantazis Raphael-Diogenis, October 2010, Department of Production Engineering and Management.

24. A Decision Support System for Supply Chain Management Problems, Venizelos Athanasios, October 2010, Department of Production Engineering and Management.

25. A Heuristic Algorithm for the p-median and p-center problems, Papastefanou Evangelos, July 2010, Department of Production Engineering and Management.

26. A Metaheuristic Algorithm for the Location Routing Problem, Strataki Chrysanthi, June 2010, Department of Production Engineering and Management.

27. A Genetic Algorithm for a Distribution Problem of an Aluminum Company, Kounoupa Chrysoula, February 2010, Department of Production Engineering and Management.

28. Optimization of the Supply Chain Management of a Poultry Farming Company, Gavriloglou Eustathios, January 2010, Department of Production Engineering and Management.


29. Optimization of the Distribution Cost in a Supermarket’s Supply Chain, Agalianos Fotios, September 2009, Department of Production Engineering and Management.

30. An Island Memetic Algorithm for the Vehicle Routing Problem, Rogdakis Ioannis, September 2009, Department of Production Engineering and Management.

31. A Nearest Neighborhood Algorithm for the Inventory Routing Problem, Tsoukala Georgia, September 2009, Department of Production Engineering and Management.

32. Forecasting of the Stock Price of the National Bank of Greece using Neural Networks, Somaras Andreas, July 2009, Department of Production Engineering and Management.

33. Iterated Path Relinking Algorithm using Local Search for the Vehicle Routing Problem, Kiniklis Vasileios, June 2009, Department of Production Engineering and Management.

34. Vehicle Routing Problem using Matlog, Andreou Maria, August 2008, Department of Production Engineering and Management.

16. CITATIONS Total Citations: 776 The paper “Particle Swarm Optimization with Expanding Neighborhood Topology for the Permutation Flowshop Scheduling Problem”, Soft Computing, 17(7), 1159-1173, (2013)” is cited by:

1. Chun-Lung Chen, Shin-Ying Huang, Yeu-Ruey Tzeng, Chuen-Lung Chen, A revised discrete particle swarm optimization algorithm for permutation flow-shop scheduling problem, Soft Computing DOI 10.1007/s00500-013-1199-z

2. Juan José Palacios, Inés González-Rodríguez, Camino R. Vela, Jorge Puente, Swarm lexicographic goal programming for fuzzy open shop scheduling, Journal of Intelligent Manufacturing DOI 10.1007/s10845-013-0850-y

The paper “Particle Swarm Optimization for the Vehicle Routing Problem with Stochastic Demands”, Applied Soft Computing, 13, 1693-1704, 2013” is cited by:

3. Takwa Tlili, Sami Faiz and Saoussen Krichen, INTEGRATION OF GIS AND OPTIMIZATION ROUTINES FOR THE VEHICLE ROUTING PROBLEM, International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) Vol.2, No.2, June 2013, DOI : 10.5121/ijccms.2013.2202, 9-17

4. FAN Cheng-li, XING Qing-hua, FAN Hai-xiong, LI-Xiang, The Particle Swarm Optimization and Variable Neighborhood Search Algorithm with Convergence Criterions, Control and Decision (accepted – available on line)

5. Zhen Yaobao, Hu Ping, and Yang Shu, An Improved Particle Swarm Optimization for the Automobile Spare Part Warehouse Location Problem, Hindawi Publishing Corporation Mathematical Problems in Engineering Volume 2013, Article ID 726194, 6 pages, http://dx.doi.org/10.1155/2013/726194


The paper “Multiple Phase Neighborhood Search GRASP for the Capacitated Vehicle Routing Problem”, Expert Systems with Applications, 39, 6807-6815” is cited by:

6. Zahra Saadati Eskandari, Majid Yousefikhoshbakht, Solving the Vehicle Routing Problem by using an Effective Reactive Bone Route Algorithm, Transportation Research Journal 1 (2012) 51-67

7. Saoussen Krichen and Sami Faiz, Geographical Information Systems and Spatial Optimization, CRC Press 2012, Print ISBN: 978-1-4665-7747-3, eBook ISBN: 978-1-4665-7748-0

8. Layeb, A., Ammi, M., Chikhi, S., A GRASP algorithm based on new randomized heuristic for vehicle routing problem, Journal of Computing and Information Technology 21 (1) , pp. 35-46, 2013

9. Tang, J., Ma, Y., Guan, J., Yan, C., A Max-Min Ant System for the split delivery weighted vehicle routing problem, Expert Systems with Applications 40 (18) , pp. 7468-7477, 2013.

10. Lin, C., Choy, K.L., Ho, G.T.S., Chung, S.H., Lam, H.Y., Survey of Green Vehicle Routing Problem: Past and future trends, Expert Systems with Applications 41 (4 PART 1) , pp. 1118-1138, 2014

11. Jovanović, A.D., Pamučar, D.S., Pejčić-Tarle, S., Green vehicle routing in urban zones - A neuro-fuzzy approach, Expert Systems with Applications 41 (7) , pp. 3189-3203, 2014

The paper “Vibration Control of Beams with Piezoelectric Sensors and Actuators using Particle Swarm Optimization”, Expert Systems with Applications, 38, 6872-6883, 2011” is cited by:

12. Sonda Hbaieb, Souhail Dhouib, and Habib Chabchoub, A Decision Support System Based on Metaheuristic Model for Aircrafts Landing Problems, R. Meersman, T. Dillon, and P. Herrero (Eds.): OTM 2011 Workshops, LNCS 7046, pp. 571–580, 2011. © Springer-Verlag Berlin Heidelberg 2011

13. S. Mobayen, A. Rabiei, M. Moradi and B. Mohammady, Linear quadratic optimal control system design using particle swarm optimization algorithm, International Journal of the Physical Sciences Vol. 6(30), pp. 6958 - 6966, 23 November, 2011 DOI: 10.5897/IJPS11.726, ISSN 1992 – 1950, Academic Journals

14. Ji Chun Xing, Li Zhong Xu, Study on in-Plane Bending Vibration of a Combined Ring-Beam, Applied Mechanics and Materials (Volumes 117 - 119) Volume Materials and Computational Mechanics, 319-322 DOI 10.4028/www.scientific.net/AMM.117-119.319, 2011

15. Precup, R-E., Tomescu, M.L., Rădac, M-B., Petriu, E.M., Preitl, S., Dragoş, C-A., Iterative performance improvement of fuzzy control systems for three tank systems, Expert Systems with Applications (2012), 39, 9, 8288-8299.

16. S. Mobaieen, B. Mohamady, H. Ghorbani, A. Rabii, Optimal Control Design Using Evolutionary Algorithms with Application to an Aircraft Landing System, Journal of Basic and Applied Scientific Research, 2(2)1876-1882, 2012

17. Raju, V., Maheswari, D., Patnaik, S.K., Active vibration control of piezo actuated cantilever beam using PSO, 2012 IEEE Students' Conference on


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18. Priya, C., Lakshmi, P., Particle swarm optimisation applied to real time control of spherical tank system, International Journal of Bio-Inspired Computation 4 (4) , pp. 206-216, 2012

19. Dou, Z., Wang, Y., Wang, J., Gao, C., Harmonic parameters method identified by rotational invariance and particle swarm optimization, Journal of Convergence Information Technology 7 (22) , pp. 408-416, 2012

20. I-Tung Yang, Yi-Hung Hsieh, Reliability-based design optimization with cooperation between support vector machine and particle swarm optimization, Engineering with Computers (2013) 29:151–163, DOI 10.1007/s00366-011-0251-9

21. Hadi, M.S., Mat Darus, I.Z., Yatim, H., Modeling flexible plate structure system with free-free-clamped-clamped (FFCC) edges using Particle Swarm Optimization, IEEE Symposium on Computers and Informatics, ISCI 2013 , art. no. 6612372 , pp. 39-44

22. Koofigar, H.R., Amelian, S. , Active vibration suppression in smart structures subjected to model uncertainties and environmental disturbances: An adaptive approach, JVC/Journal of Vibration and Control 19 (13) , pp. 2046-2053, 2013

23. Hadi, M.S., Mat Darus, I.Z. , Intelligence swarm model optimization of flexible plate structure system, International Review of Automatic Control 6 (3) , pp. 322-331, 2013

24. Hamid Reza Koofigar, Shahab Amelian, ROBUST ADAPTIVE VIBRATION CONTROL FOR A GENERAL CLASS OF STRUCTURES IN THE PRESENCE OF TIME-VARYING UNCERTAINTIES AND DISTURBANCES, JOURNAL OF THEORETICAL AND APPLIED MECHANICS, 51, 3, pp. 533-541, Warsaw 2013

The paper “Fuzzy Control Optimized by a Multi-Objective Particle Swarm Optimization Algorithm for Vibration Suppression of Smart Structures”, Structural and Multidisciplinary Optimization, 43, 29-42, 2011” is cited by:

25. B. Liu, Y. Gao, A robust control strategy for a direct drive valve based on voice coil motor, Mathematical and Computer Modelling (2011), doi:10.1016/j.mcm.2011.10.032

26. Cheng Cheng · Xiao-Bing Zhang, Interior ballistic charge design based on a modified particle swarm optimizer, Structural and Multidiscilpinary Optimization, DOI 10.1007/s00158-012-0768-6, Springer-Verlag 2012

27. Guo, Y., Sun, Z., Multi-objective optimization grasping planning for multifingered robot hand, Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) 42 (4) , pp. 643-648, 2012

28. Cintra, M.E., Monard, M.C., Camargo, H.A. , On rule learning methods: A comparative analysis of classic and fuzzy approaches, Studies in Fuzziness and Soft Computing 291 , pp. 89-104, 2013

29. J.N. Richardson, G. Nordenson, R. Laberenne, R. F. Coelho, S. Adriaenssens Flexible optimum design of a bracing system for faηade design using multiobjective Genetic Algorithms, Automation in Construction (2013), 32, 80-87.


30. Zorić, N.D., Simonović, A.M., Mitrović, Z.S., Stupar, S.N., Optimal vibration control of smart composite beams with optimal size and location of piezoelectric sensing and actuation, Journal of Intelligent Material Systems and Structures 24 (4) , pp. 499-526

31. Hurel, J. , Mandow, A. , Garcia-Cerezo, A., Tuning a fuzzy controller by particle swarm optimization for an active suspension system, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society, 25-28 Oct. 2012, 2524 – 2529, Montreal, QC

The paper “Honey Bees Mating Optimization Algorithm for the Euclidean Traveling Salesman Problem”, Information Sciences, 181, 4684 – 4698, 2011” is cited by:

32. J. Zhao, Q. Liu, W. Wang, Z. Wei, P. Shi, A parallel immune algorithm for traveling salesman problem and its application on cold rolling scheduling, Information Sciences (2011), 181, 7, 1212-1223.

33. Fei Kang, Junjie Li, Zhenyue Ma, Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions, Information Sciences 181 (2011) 3508–3531

34. Yu-ting Wang, Jun-qing Li, Kai-zhou Gao, Quan-ke Pan, Memetic Algorithm based on Improved Inver–over operator and Lin–Kernighan local search for the Euclidean traveling salesman problem, Computers and Mathematics with Applications, 62, 7, 2743-2754, 2011.

35. Carlos Eduardo Klein, IDENTIFICAÇÃO NÃO-LINEAR MULTIVARIÁVEL APLICADA NO AMBIENTE AUTOMOTIVO, MSc Thesis, Pontifícia Universidade Católica do Paraná, 2011

36. O. Erdinc, M. Uzunoglu, Optimum design of hybrid renewable energy systems: Overview of different Approaches, Renewable and Sustainable Energy Reviews 16 (2012) 1412– 1425

37. Gertjan Gaillet, Adaptieve routeplanning voor meerdere heterogene voertuigen met vari erende randvoorwaarden, MSc Thesis, Faculteit Ingenieurswetenschappen en Architectuur Vakgroep Informatietechnologie, University of Gent, Belgium.

38. A. Hatamlou, Black hole: A new heuristic optimization approach for data clustering, Information Sciences (2013), 222, 175-184

39. Qinma Kang, Hong He, Rong Deng Bi-objective task assignment in heterogeneous distributed systems using honeybee mating optimization, Applied Mathematics and Computation (2012), 219 (5) , pp. 2589-2600

40. Xiao-yu Wen, Xin-yu Li, Liang Gao, Hong-yan Sang, Honey bees mating optimization algorithm for process planning Problem, Journal of Intelligent Manufacturing, DOI 10.1007/s10845-012-0696-8, Springer

41. Andrius Blazinskas and Alfonsas Misevicius, Generating High Quality Candidate Sets by Tour Merging for the Traveling Salesman Problem, T. Skersys, R. Butleris, and R. Butkiene (Eds.): ICIST 2012, CCIS 319, pp. 62–73, 2012, Springer-Verlag Berlin Heidelberg 2012

42. Majid Esmi Jahromi, Mehdi Ehsan, Abbas Fattahi Meyabadi and Taher Niknam, AN INTERACTIVE FUZZY MULTI-OBJECTIVE APPROACH FOR SHORT TERM DG PLANNING, International Journal of Innovative Computing, Information and Control, Volume 8, Number 6, June 2012, ICIC International 2012 ISSN 1349-4198, pp. 4157-4175


43. Jiang, H., Liu, T., Chen, J., An exact algorithm for TSP based on time-delay message broadcasting mechanism in cloud computing environment, Advances in Information Sciences and Service Sciences 4 (20) , pp. 299-308, 2012

44. Montiel, O., Diaz-Delgadillo, F.J., Sepúlveda, R., Combinatorial Complexity Problem Reduction by the Use of Artificial Vaccines, Expert Systems with Applications (2013), 40, 1871-1879.

45. Marıa Cristina Riff, Elizabeth Montero, Bertrand Neveu, Reducing Calibration Effort for Clonal Selection based Algorithms: A Reinforcement Learning Approach, Knowledge-Based Systems (2013), 41, 54-67

46. Alejandro Alvarado-Iniesta, Jorge L.Garcia-Alcaraz, Manuel Ivan Rodriguez-Borbon, Aide Maldonado, Optimization of the material flow in a manufacturing plant by use of artificial bee colony algorithm, Expert Systems with Applications 40 (2013) 4785–4790

47. Z. Z. Abidin, M. R. Arshad, U. K. Ngah, An introduction to swarming robotics: application development trends, Artificial Intelligence Review DOI 10.1007/s10462-013-9397-8

48. Qinma Kang & Hong He (2013): Honeybee Mating Optimization Algorithm For Task Assignment In Heterogeneous Computing Systems, Intelligent Automation & Soft Computing, 19:1, 69-84

49. Jorge Ivan Pιrez Rave, Gloria Patricia Jaramillo Αlvarez, Relevant literary space on travelling salesman problem (TSP): contents, classification, methods and fields of inspiration, Producao, 23 (4) , pp. 866-876, 2013

50. Qinma Kang & Hong He (2013): Task assignment for minimizing application completion time using honeybee mating optimization, Frontiers of Computer Science 7 (3) , pp. 404-415

51. Arash Ghorbannia Delavar, Somayyeh Hoseyny, Rouhollah Maghsoudi, BCO-Based Optimized Heuristic Strategies for QoS Routing, The Journal of Mathematics and Computer Science Vol .5 No.2 (2012) 105-114

52. Souza, G.R. ; Goldbarg, E.F.G. ; Goldbarg, M.C. ; Canuto, A.M.P., A Multiagent Approach for Metaheuristics Hybridization Applied to the Traveling Salesman Problem 2012 Brazilian Symposium on Neural Networks (SBRN), 20-25 Oct. 2012, 208 – 213, Curitiba

53. Dhouib Saima, Dhouib Souhail , Chabchoub Habib, Artificial bee colony metaheuristic to find pareto optimal solutions set for engineering design problems, 2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO), 28-30 April 2013 , Hammamet, Tunisia, DOI: 10.1109/ICMSAO.2013.6552685

54. Dowlatshahi, M.B., Nezamabadi-Pour, H., Mashinchi, M., A discrete gravitational search algorithm for solving combinatorial optimization problems, Information Sciences 258 , pp. 94-107, 2014

55. Dhouib, S., Dhouib, S., Chabchoub, H., Artificial bee colony metaheuristic to optimize traceability in food industry, 2013 International Conference on Advanced Logistics and Transport, ICALT 2013 , art. no. 6568495 , pp. 417-420

56. Feng, X., Ma, M., Yu, H., Lake-energy optimization algorithm for travelling salesman problem, Jisuanji Yanjiu yu Fazhan/Computer Research and Development 50 (9) , pp. 2015-2027, 2013

57. Celik, Y., Ulker, E., An improved marriage in honey bees optimization algorithm for single objective unconstrained optimization, The Scientific World Journal 2013 , art. no. 370172


58. Qinma Kang & Hong He (2013) Honeybee Mating Optimization Algorithm For Task Assignment In Heterogeneous Computing Systems, Intelligent Automation & Soft Computing, 19:1, 69-84, DOI: 10.1080/10798587.2013.771438

59. M. Fatih Tasgetiren, Ozge Buyukdagli, Damla Kızılay, and Korhan Karabulut, A Populated Iterated Greedy Algorithm with Inver-Over Operator for Traveling Salesman Problem, B.K. Panigrahi et al. (Eds.): SEMCCO 2013, Part I, LNCS 8297, pp. 1–12, 2013. © Springer International Publishing Switzerland 2013

60. Chun-Wei Tsai, Wei-Cheng Huang and Ming-Chao Chiang, Recent Development of Metaheuristics for Clustering, James J. (Jong Hyuk) Park et al. (eds.), Mobile, Ubiquitous, and Intelligent Computing Lecture Notes in Electrical Engineering 274, 629 -636, DOI: 10.1007/978-3-642-40675-1_93, © Springer-Verlag Berlin Heidelberg 2014,

61. B. Xing and W.-J. Gao, Bee Inspired Algorithms, Chapter 4, Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms , Intelligent Systems Reference Library 62, DOI: 10.1007/978-3-319-03404-1_4, Springer International Publishing Switzerland 2014, 45-80

62. Dhouib, S., Dhouib, S., Chabchoub, H., Artificial Bee Colony metaheuristic to optimize Goal Programming Engineering Design Problems 2013 International Conference on Control, Decision and Information Technologies (CoDIT), 6‐8 May 2013, 355 – 358, Hammamet, Tunisia, DOI: 10.1109/CoDIT.2013.6689570

The paper “A Hybrid ACO-GRASP Algorithm for Clustering Analysis, Annals of Operations Research, 188, 343-358, 2011” is cited by:

63. H. Brandner, S. Lessmann, S. Vob, A memetic approach to construct transductive discrete support vector machines, European Journal of Operational Research (2013), 230(3), 585-591.

The paper “Discrete Artificial Bee Colony Optimization Algorithm for Financial Classification Problems”, International Journal of Applied Metaheuristic Computing, 2, 1, 1-17.” is cited by:

64. Shivangi Goyal, The Applications Survey : Bee Colony, IRACST – Engineering Science and Technology: An International Journal (ESTIJ), ISSN: 2250-3498, Vol.2, No. 2, April 2012

65. Kamalam Balasubramani, Karnan Marcus, A Comprehensive review of Artificial Bee Colony Algorithm, International Journal of Computers & Technology Volume 5, No. 1, May -June, 2013, ISSN 2277-3061

The paper “Particle Swarm Optimization for Optimal Product Line Design”, International Journal of Research in Marketing, 28, 13-22, 2011.” is cited by:

66. Chih-Chieh Yang, (2011) Constructing a Hybrid Kansei Engineering System Based on Multiple Affective Responses: Application to Product Form Design, Computers & Industrial Engineering, 60, 4, 760-768, (2011).

67. Michalek, J.J., Ebbes, P., Adiguzel, F., Feinberg, F.M. Papalambros, P.Y., Enhancing marketing with engineering: Optimal product line design for


heterogeneous markets, International Journal of Research in Marketing (2011), 28, 1, 1-12.

68. Hauser, J.R., New Developments in Product-Line Optimization, International Journal of Research in Marketing (2011), 28, 1, 26-27.

69. Roberts, J.H., A conceptual framework for studying the interaction of demand, supply and the market environment in product line optimization, International Journal of Research in Marketing (2011), 28, 1, 23-25.

70. Liberali, G., Product line design optimization, International Journal of Research in Marketing (2011), 28, 1, 28-29.

71. Lacourbe, P., A Model of Product Line Design and Introduction Sequence with Reservation Utility, European Journal of Operational Research (2012), 220, 2, 338-348.

72. Müller, Johannes Wertbasierte Portfolio-Optimierung bei Software-Produktlinien – Modell, Vorgehen, Umsetzung Universität Leipzig, Doctor rerum politicarum Dissertation, 2012

73. Kosmadoudi Z, Lim T, Ritchie J, Louchart S, Liu Y, Sung R. Engineering design using game-enhanced CAD: The potential to augment the user experience with game elements. Computer-Aided Design (2012), doi:10.1016/j.cad.2012.08.001

74. Thelma Elita Colanzi, Search Based Design of Software Product Lines Architectures, ICSE 2012, Zurich, Switzerland Doctoral Symposium, 978-1-4673-1067-3/12/$31.00c 2012 IEEE, 1507-1510

75. Liu, Y., Wang, H., Ji, Y., Liu, Z., Zhao, X., Land use zoning at the county level based on a multi-objective particle swarm optimization algorithm: A case study from Yicheng, China, International Journal of Environmental Research and Public Health 9 (8) , pp. 2801-2826, 2012

76. Tsafarakis, S., Saridakis, C., Baltas, C., Matsatsinis, N., Hybrid particle swarm optimization with mutation for optimizing industrial product lines: An application to a mixed solution space considering both discrete and continuous variables, Industrial Marketing Management (2013), http://dx.doi.org/10.1016/j.indmarman.2013.03.002

77. Hadjinicola, G.C., Charalambous, C., Muller, E., Product positioning using a self-organizing map and the rings of influence, Decision Sciences 44 (3) , pp. 431-461, 2013

78. Aaron Don M. Africa, A Computer Store Optimization Model using Particle Swarm Optimization and Simulated Annealing, Journal of Automation and Control Engineering Vol. 2, No. 1, March 2014, 20-25

The paper “Fuzzy Control optimized by PSO for vibration suppression of beams”, Control Engineering and Practice, 18, 618-629, 2010” is cited by:

79. R. E. Precup, H. Hellendoorn, A survey on industrial applications of fuzzy control, Computers in Industry (2011), 62, 3, 213-226.

80. Adaptive control and signal processing literature survey (No. 20). International Journal of Adaptive Control and Signal Processing 2010; 24:921–926 Published online in Wiley Online Library (wileyonlinelibrary.com). DOI: 10.1002/acs.1211

81. LI DongXu, LIU Wang, JIANG JianPing & XU Rui, Placement optimization of actuator and sensor and decentralized adaptive fuzzy vibration control for


large space intelligent truss structure SCIENCE CHINA Technological Sciences, April 2011 Vol.54 No.4: 853–861 doi: 10.1007/s11431-011-4333-0

82. Rui Xu, Dong Xu Li, Jian Ping Jiang, Fuzzy Vibration Control of Flexible Solar Panel Using Piezoelectric Stack Journal Applied Mechanics and Materials, Vol. 50-51, p. 214-218 DOI 10.4028/www.scientific.net/AMM.50-51.214, February, 2011

83. Ahmed, B.S., Zamli, K.Z., A Variable Strength Interaction Test Suites Generation Strategy Using Particle Swarm Optimization, The Journal of Systems and Software (2011), 84 (12), 2171-2185.

84. Ioannis Papachristou, Salonikos Salonikidis, Georgios K. Tairidis and Georgios E. Stavroulakis, ADAPTIVE FUZZY CONTROL OF SMART STRUCTURES – ANFIS, 7th GRACM International Congress on Computational Mechanics Athens, 30 June – 2 July 2011

85. Xiaojin Zhu, Zhiyuan Gao, Quanzhen Huang, Shouwei Gao and Enyu Jiang, Analysis and implementation of MIMO FULMS algorithm for active vibration control, Transactions of the Institute of Measurement and Control, DOI: 10.1177/0142331211415896

86. Hua Wang, Xian-Hai Shen, Liang-Xu Zhang and Xiao-Jin Zhu, Active vibration suppression of flexible structure using a LMI-based control patch, Journal of Vibration and Control published online 5 October 2011, DOI: 10.1177/1077546311415303

87. Chamil Abeykoon, Kang Li, Marion McAfee, Peter J. Martin, Qun Niu, Adrian L. Kelly, Jing Deng, A new model based approach for the prediction and optimization of thermal homogeneity in single screw extrusion, Control Engineering Practice, 19 (2011) 862–874

88. Dongxu X. Li, Rui Xu, and Jiangjian P. Jiang, Experiment Study on Fuzzy Vibration Control of Solar Panel, J. N´aprstek et al. (eds.), Vibration Problems ICOVP 2011: The 10th International Conference on Vibration Problems, Springer Proceedings in Physics 139, DOI 10.1007/978-94-007-2069-5 55, © Springer ScienceCBusiness Media B.V. 2011

89. Bestoun Ahmet and Kamal Zamli, A Greedy Particle Swarm Optimization Strategy for T-way Software Testing, Journal of Artificial Intelligence, 2012, ISSN 1994-5450, DOI: 10.3923/jai.2012

90. Zhiwen Liu, Hongrui Cao, Xuefeng Chen, Zhengjia He, Zhongjie Shen, Multi-fault classification based on wavelet SVM with PSO algorithm to analyze vibration signals from rolling element bearings, Neurocomputing (2013), 99, 399-410

91. Zhongyang Han, Ying Liu, Jun Zhao, Wei Wang Real time prediction for converter gas tank levels based on multi-output least square support vector regressor. Control Engineering Practice (2012), 20(12), 1400-1409

92. Nuapett Sarasiri, Kittiwong Suthamno and Sarawut Sujitjorn, Bacterial Foraging-Tabu Search Metaheuristics for Identification of Nonlinear Friction Model, Journal of Applied Mathematics, Hindawi Publishing Corporation, 2012, Volume 2012, Article ID 238563, 23 pages, doi:10.1155/2012/238563

93. Lu, P., Chen, S., Zheng, Y. , Artificial intelligence in civil engineering, Mathematical Problems in Engineering 2012 , art. no. 145974, 2012

94. Gilberto Reynoso-Meza, Sergio García-Nieto, Javier Sanchis, and F. Xavier Blasco, Controller Tuning by Means of Multi-Objective Optimization Algorithms: A Global Tuning Framework, IEEE TRANSACTIONS ON


CONTROL SYSTEMS TECHNOLOGY, Digital Object Identifier 10.1109/TCST.2012.2185698, 21(2), 445-458

95. Aliki D. Muradova , Georgios E. Stavroulakis, Fuzzy Vibration Control of a Smart Plate, International Journal for Computational Methods in Engineering Science and Mechanics, Volume 14, Issue 3, 2013, 221-230

96. Migueĺ Angel Olivares Mendez, Soft-Computing Based Visual Control for Unmanned Vehicles, Ph.D. Thesis, Universidad Politecnica de Madrid, Escuela Tecnica Superior De Ingenieros Industriales Doctorado en Automatica Robotica, 2013

97. Nemanja Zorić, Aleksandar Simonović, Zoran Mitrović, Slobodan Stupa, ACTIVE VIBRATION CONTROL OF SMART COMPOSITE BEAMS USING PSO-OPTIMIZED SELF-TUNING FUZZY LOGIC CONTROLLER, JOURNAL OF THEORETICAL AND APPLIED MECHANICS, 51, 2, pp. 275-286, Warsaw 2013

98. Jena, P.K., Thatoi, D.N., Parhi, D.R. , Differential evolution: An inverse approach for crack detection, Advances in Acoustics and Vibration , art. no. 321931, 2013

99. Hadi Nobahari, Seyed A Hosseini Kordkheili, Sajad Saraygord Afshari, Hardware-in-the-loop optimization of an active vibration controller in a flexible beam structure using evolutionary algorithms, Journal of Intelligent Material Systems and Structures, 2013, doi: 10.1177/1045389X13502874

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108. Li Li, Yurong Cheng, Lijing Tan, and Ben Niu, A Discrete Artificial Bee Colony Algorithm for TSP Problem, D.-S. Huang et al. (Eds.): ICIC 2011, LNBI 6840, pp. 566–573, 2012. © Springer-Verlag Berlin Heidelberg.

109. Dong Zhang, Lei Jia, Wen Xing Zhu, A Review of some Intelligent Optimization Algorithms Applied to Intelligent Transportation System, Advanced Materials Research (Volumes 383 - 390) Volume Manufacturing Science and Technology, 5717-5723 DOI 10.4028/www.scientific.net/AMR.383-390.5717

110. Peitsang Wu, Yung-Yao Hung and Han-Chieh Chiang, A Hybrid Electromagnetism-like Mechanism: A Metaheuristic Algorithm for Solving the Travelling Salesman Problem, International Journal of Operations Research Vol. 9, No. 1, 53−65 (2012)

111. Liu, T., Xu, W., Wu, Q., Modeling of multi-vehicle route searching with soft time windows under sudden-onset disaster, Tongji Daxue Xuebao/Journal of Tongji University 40 (1) , pp. 109-115

112. Yucheng Kao, Ming-Hsien Chen, and Yi-Ting Huang, A Hybrid Algorithm Based on ACO and PSO for Capacitated Vehicle Routing Problems, Hindawi Publishing Corporation Mathematical Problems in Engineering Volume 2012, Article ID 726564, 17 pages doi:10.1155/2012/726564

113. Yin, Z., Yuanfu, L.I., Yang, Z. Temperature prediction for massive concrete in bridge structure based on PSO and RVM, Information 15 (10) , pp. 4321-4328, 2012

114. Wu, H.-T., Zhang, G.-J., Hong, Z., Yu, L. , Evolutionary tree road network topology building and the application of multi-stops path optimization, Jisuanji Xuebao/Chinese Journal of Computers 35 (5) , pp. 964-971, 2012

115. Kao, Y., Chen, M., A hybrid PSO algorithm for the CVRP problem, ECTA 2011 FCTA 2011 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications and International Conference on Fuzzy Computation Theory and Applications , pp. 539-543, 2011

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120. Qiang, X.-J., Ju-Hua, H., Qun, L., Simulation analysis of controlling buffeting noise based on hybrid particle swarm algorithm, Journal of Convergence Information Technology 7 (23) , pp. 753-761, 2012

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124. Gulcin Dinc Yalcin and Nihal Erginel, A Heuristic Based on Integer Programming for the Vehicle Routing Problem with Backhauls, Proceedings of the 2012 International Conference on Industrial Engineering and Operations Management Istanbul, Turkey, July 3 – 6, 2012

125. Xuesong Yan, Can Zhang , Wenjing Luo, Wei Li, Wei Chen and Hanmin Liu, Solve Traveling Salesman Problem Using Particle Swarm Optimization Algorithm, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 6, No 2, November 2012 ISSN (Online): 1694-0814, 264-271

126. SU Shoubao and CAO Xibin, Jumping PSO with Expanding Neighborhood Search for TSP on a Cuboid, Chinese Journal of Electronics, Vol.22, No.1, Jan. 2013, 202-208

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130. Vidal, T., Crainic, T.G., Gendreau, M., Prins, C., Heuristics for multi-attribute vehicle routing problems: A survey and synthesis, European Journal of Operational Research (2013), 231, 1-21

131. Yucheng Kao and Mei Chen, Solving the CVRP Problem Using a Hybrid PSO Approach, K. Madani et al. (Eds.): Computational Intelligence, SCI 465, pp. 59–67. DOI: 10.1007/978-3-642-35638-4_5 © Springer-Verlag Berlin Heidelberg 2013

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134. Thibaut VIDAL, Approches generales de resolution pour les problems multi-attributs de tournees de vehicules et confection d'horaires, Universite de Montreal & Universite de Technologie de Troyes, These presentee en vue de l'obtention du grade de Philosophi Doctor (Ph.D.) en Informatique, 2013


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136. Manuel Lozano, Fred Glover, Carlos García‐Martínez, Francisco Javier Rodríguez & Rafael Martí, Tabu Search with Strategic Oscillation for the Quadratic Minimum Spanning Tree, IIE Transactions, 2013, DOI:10.1080/0740817X.2013.768785

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147. Khajeh, A., Modarress, H., Zeinoddini-Meymand, H., Modified particle swarm optimization method for variable selection in QSAR/QSPR studies, Structural Chemistry 24 (5) , pp. 1401-1409, 2013.

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151. Ligang Cui, LinWang, Jie Deng, and Jinlong Zhang, A New Improved Quantum Evolution Algorithm with Local Search Procedure for Capacitated Vehicle Routing Problem, Hindawi Publishing Corporation Mathematical Problems in Engineering Volume 2013, Article ID 159495, 17 pages http://dx.doi.org/10.1155/2013/159495

152. Antonio Polimeni & Antonino Vitetta, Vehicle routing in urban areas: an optimal approach with cost function calibration, Transportmetrica B: Transport Dynamics, DOI: 10.1080/23249935.2013.826747

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153. N. Phuangpornpitak, W. Prommee, S.Tia and W. Phuangpornpitak, A Study of Particle Swarm Technique for Renewable Energy Power Systems, PEA-AIT International Conference on Energy and Sustainable Development: Issues and Strategies (ESD 2010), Chiang Mai, Thailand. 2-4 June 2010.

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155. R. Banos, F.Manzano-Agugliaro, F.G.Montoya, C.Gil, A.Alcayde, J.Gómez, Optimization methods applied to renewable and sustainable energy: A review, Renewable and Sustainable Energy Reviews 15 (2011) 1753–1766

156. Demetrios P. Papadopoulos, Christos D. Karathodoros and Panagiotis A. Katsigiannis, Extended Design Investigation Based on Techno-Economic and Environmental Considerations of a Grid Connected PV System: Application to a 100 kWp PV System Installed in Eastern Macedonia Region of Greece, The Open Renewable Energy Journal, 2011, 4, 60-71

157. Raphael Nunes Freire, Análise de viabilidade de Projectos de minigeração Fotovoltaica, Faculdade de Engenharia da Universidade do Porto, MSc Thesis, June 2011

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159. Omar Hafez, Some Aspects of Microgrid Planning and Optimal Distribution Operation in the Presence of Electric Vehicles, MSc Thesis, Waterloo, Ontario, Canada, 2011

160. Daniel Gomez-Lorente, Isaac Triguero, Consolacion Gil, A. Espin Estrell. Evolutionary algorithms for the design of grid-connected PV-systems. Expert Systems with Applications (2012), 39, 9, 8086-8094.

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162. Hassanzadehfard, H., Moghaddas-Tafreshi, S.M., Hakimi, S.M., Optimal sizing of a reliable grid connected micro-grid considering uncertainty and


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164. Ng, S.K.K., Zhong, J., Cheng, J.W.M. , Probabilistic optimal sizing of stand-alone PV systems with modeling of variable solar radiation and load demand, IEEE Power and Energy Society General Meeting , art. no. 6344878, 2012

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172. Renato D. Maia, Leandro N. De Castro, Walmir M. Caminhas, Colonias de Abelhas Comomodelo para Otimizacao Multimodal Continua: Uma Proposta E Analise Parametrica Qualitativa, XVIII Congresso Brasileiro de Automática / 12 a 16-setembro-2010, Bonito-MS

173. S. Garcia, J. Derrac, J. Luengo, C. Carmona, F. Herrera,Evolutionary Selection of Hyperrectangles in Nested Generalized Exemplar Learning, Applied Soft Computing Journal (2011), 11, 3032-3045

174. Chau Minh Ky, A Fuzzy MCDM method to select the best company based on Financial Report Analysis, MSc Thesis, National University of Tainan, January 2011

175. Yorgos Goletsis, Themis P. Exarchos and Christos D. Katsis, Bio-inspired intelligence for credit scoring, International Journal of Financial Markets and Derivatives, Volume 2, Number 1-2 / 2011, 32 - 49


176. M. Ma, J. Liang, M. Guo, Y. Fan, Y. Yin, SAR image segmentation based on Artificial Bee Colony algorithm, Applied Soft Computing Journal (2011), 11, 8, 5205-5214.

177. Ekrem Duman, Mitat Uysal, and Ali Fuat Alkaya, Migrating Birds Optimization: A New Meta-heuristic Approach and Its Application to the Quadratic Assignment Problem, C. Di Chio et al. (Eds.): EvoApplications 2011, Part I, LNCS 6624, pp. 254–263, 2011. Springer-Verlag Berlin Heidelberg 2011

178. Junqing Li, Quanke Pan, Shengxian Xie, Flexible Job Shop Scheduling Problems By A Hybrid Artificial Bee Colony Algorithm, 2011 IEEE Congress on Evolutionary Computation, 5-8 June 2011, New Orleans USA, DOI:10.1109/CEC.2011.5949601

179. Bin, W., Qinke, P., Jing, Z., Xiao, C., A Binary Particle Swarm Optimization Algorithm Inspired by Multi-level Organizational Learning Behavior, European Journal of Operational Research (2012), 219, 2, 224-233.

180. O. Erdinc, M. Uzunoglu, Optimum design of hybrid renewable energy systems: Overview of different Approaches, Renewable and Sustainable Energy Reviews 16 (2012) 1412– 1425


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183. Maia, R.D., De Castro, L.N., Caminhas, W.M., Bee colonies as model for multimodal continuous optimization: The OptBees algorithm, 2012 IEEE Congress on Evolutionary Computation, CEC 2012 , art. no. 6252975

184. Zhang Chao-qun, Zheng Jian-guo, Wang Xiang, Overview of research on bee colony algorithms, Application Research of Computers, 28, 9, Sep. 2011

185. Wei, B., Peng, Q., Chen, X., Zhao, J. , An improved particle swarm optimization based on wolves' activities circle, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), art. no. 6359342 , pp. 4557-4562

186. Maia, R.D., de Castro, L.N., Caminhas, W.M., Collective decision-making by bee colonies as model for optimization - the OptBees algorithm, Applied Mathematical Sciences 7 (85-88) , pp. 4327-4351, 2013

187. Hendrawan, Y., Murase, H. , Intelligent micro-precision irrigation system for cultured moss mat production in plant factory, Acta Horticulturae 1011 , pp. 465-472, 2013

188. Chui-Yu Chiu, Pei-Ting Huang, Application of the Honeybee Mating Optimization Algorithm to Patent Document Classification in Combination with the Support Vector Machine, International Journal of Automation and Smart Technology, 3 (3), 2013, 179-191

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189. G. Weichart, Ants Swarms and Bees, Communication Enginnering Seminar, 29 November 2009, Germany


190. Tshilidzi Marwala, Finite-element-model Updating Using Computional Intelligence Techniques Applications to Structural Dynamics, Springer-Verlag London Limited 2010

191. Sandesh, S. and Shankar, K.(2010) Application of a hybrid of particle swarm and genetic algorithm for structural damage detection, Inverse Problems in Science and Engineering, 18: 7, 997 — 1021

192. Shi Xiaohu, Li Yanwen, Li Haijun, Guan Renchu, Wang Liupu, Liang Yanchun, An integrated algorithm based on artificial bee colony and particle swarm optimization, Sixth International Conference on Natural Computation (ICNC), 2010 Volume: 5, Digital Object Identifier: 10.1109/ICNC.2010.5583169 , 2010, 2586 - 2590

193. Antonio Polimeni, Antonino Vitetta, Demand and routing models: an approach for simulating the urban goods movements, 12th WCTR, July 11-15, 2010 – Lisbon, Portugal

194. A. Zafari, S.M. Tashakori Hashemi & M. Yousefi Khoshbakht, A Hybrid Effective Genetic Algorithm for Solving the Vehicle Routing Problem, IJIE, 2010

195. Mohammad Hossein Fazel Zarandi, Soheil Davari, and Ahmad Hemmati, Fuzzy Clustering for Initialization of Simulated Annealing, Algorithm to Solve a Capacitated Vehicle Routing Problem, Proceedings of the 2010 International Conference on Industrial Engineering and Operations Management, Dhaka, Bangladesh, January 9 – 10, 2010

196. Ferani Eva Zulvia, A Hybrid Particle Swarm Optimization with Genetic Algorithm for Solving Capacitated Vehicle Routing Problem with Fuzzy Demand – A Case Study on Garbage Collection System, MSc Thesis, 2010.

197. Frederico Manuel Marques Gonçalves, Optimização de um Sistema de Distribuição Capilar, PhD Thesis, Instituto Superior Technico, Universidade Technica de Lisboa, November 2010.

198. Zhang, W-B., Zhu, G-Y., Comparison and application of four versions of Particle Swarm Optimization algorithms in the sequence optimization, Expert Systems with Applications (2011), 38, 7, 8858-8864.

199. Vassilios Vassiliadis and Giorgos Dounias, Nature-Inspired Intelligence in Supply Chain Management: A Review of Selected Methods and Applications, in Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods, Editors: Ioannis Minis, Vasileios Zeimpekis, Georgios Dounias, Nicholas Ampazis, 2011, 1-31, IGI Global, DOI: 10.4018/9781615206339.ch001

200. Kartika Akbaria, Market Segmentation of Taiwanese’ Perception about Indonesia Tourism Using PSKO and Multidimensional Scaling, 2010, MSc Thesis, Taiwan

201. Yun Yao Li, Chang Shi Liu, An Effective Genetic Algorithm for the Vehicle Routing Problem with Multiple Depots, Advanced Materials Research (Volumes 204 - 210), 283-287, DOI: 10.4028/www.scientific.net/AMR.204-210.283, February 2011

202. Chen, S-M., Chien, C-Y., Solving the traveling salesman problem based on the genetic simulated annealing ant colony system with particle swarm optimization techniques, Expert Systems with Applications (2011), 38, 12, 14439-14450.

203. S.Masrom, Siti Z.Z. Abidin, P.N.Hashimah, S. A.S. Abd. Rahman, Low-level Teamwork Hybridization for P-Metaheuristics: A Review and Comparison,


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204. S.MASROM, SITI.Z.Z. ABIDIN, A.M. NASIR, A.S.ABD. RAHMAN, Hybrid Particle Swarm Optimization for Vehicle Routing Problem with Time Windows, Recent Researches in Computational Techniques, Non-Linear Systems and Control, ISBN: 978-1-61804-011-4, 142-147

205. Yang, S., Lee, J., Multi-basin Particle Swarm Intelligence Method for Optimal Calibration of Parametric Lévy Models, Expert Systems with Applications (2012), 39, 1, 482-493.

206. Xinzheng Xu, Shifei Ding, Zhongzhi Shi, Hong Zhu, Zuopeng Zhao, Particle Swarm Optimization for Automatic Parameters Determination of Pulse Coupled Neural Network, Journal of Computers, Vol 6, No 8 (2011), 1546-1553, Aug 2011 doi:10.4304/jcp.6.8.1546-1553

207. Tapabrata Ray and Ruhul Sarker, Memetic Algorithms in Constrained Optimization F. Neri et al. (Eds.): Handbook of Memetic Algorithms, Studies in Computational Intelligence 379, pp. 135–151, Springer-Verlag Berlin Heidelberg 2012

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212. Yan, L., Chen, Y., Zhou, Y., An improved micro-genetic algorithm, Zhongshan Daxue Xuebao/Acta Scientiarum Natralium Universitatis Sunyatseni, Volume 51, Issue 1, January 2012, Pages 50-54

213. Liu, C., Li, L., Huang, Y. , Optimization research on distribution of emergency supplies and minimize save points based on grey correlation analysis, Advances in Information Sciences and Service Sciences 4 (15) , pp. 50-56, 2012

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215. Partha Guchhait, Manas Kumar Maiti, Manoranjan Maiti, Two storage inventory model of a deteriorating item with variable demand under partial credit period, Applied Soft Computing Journal (2013), 13, 428-448

216. R.J. Kuo, Ferani E. Zulvia, Kadarsah Suryadi Hybrid particle swarm optimization with genetic algorithm for solving capacitated vehicle routing problem with fuzzy demand – A case study on garbage collection system, Applied Mathematics and Computation (2012), 219 (5), 2574-2588

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218. Martinez-Soto, R., Castillo, O., Aguilar, L.T., Baruch, I.S., Bio-inspired optimization of fuzzy logic controllers for autonomous mobile robots 2012 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2012 , art. no. 6291053

219. Pichpibul, T., Kawtummachai, R., An improved Clarke and Wright savings algorithm for the capacitated vehicle routing problem, ScienceAsia 38 (3) , pp. 307-318, 2012

220. Gulcin Dinc Yalcin and Nihal Erginel, A Heuristic Based on Integer Programming for the Vehicle Routing Problem with Backhauls, Proceedings of the 2012 International Conference on Industrial Engineering and Operations Management Istanbul, Turkey, July 3 – 6, 2012

221. Goksal, F. P., Karaoglan, I, Altiparmak, F.. A hybrid discrete particle swarm optimization for vehicle routing problem with simultaneous pickup and delivery. Computers & Industrial Engineering (2013), 65, 39-53

222. Vidal, T., Crainic, T.G., Gendreau, M., Prins, C., Heuristics for multi-attribute vehicle routing problems: A survey and synthesis, European Journal of Operational Research (2013), 231, 1-21.

223. Huaqin Jiang, Zhengbing Yan, Xinggao Liu, Melt index prediction using optimized least squares support vector machines based on hybrid particle swarm optimization algorithm, Neurocomputing, 119, 469-477, 2013

224. P.V. Paul, A. Ramalingam, R. Baskaran, P. Dhavachelvan, K. Vivekanandan, R. Subramanian, A New Population Seeding Technique for Permutation-Coded Genetic Algorithm, Journal of Computational Science (2013), http://dx.doi.org/10.1016/j.jocs.2013.05.009


226. Fadzil Ahmad & Nor Ashidi Mat Isa & Zakaria Hussain & Muhammad Khusairi Osman, Intelligent Medical Disease Diagnosis Using Improved Hybrid Genetic Algorithm - Multilayer Perceptron Network, Journal of Medical Systems (2013) 37:9934 DOI 10.1007/s10916-013-9934-7

227. Ricardo Martinez-Soto, Oscar Castillo, Luis T. Aguilar, Antonio Rodriguez, A hybrid optimization method with PSO and GA to automatically design Type-1 and Type-2 fuzzy logic controllers, International Journal of Machine Learning & Cybernetics DOI 10.1007/s13042-013-0170-8

228. Tai-Hsi Wu, Jinn-Yi Yeh, Yueh-Min Lee, A Particle Swarm Optimization Approach for Nurse Rostering Problem, Business and Information 2013 (Bali, July 7-9)

229. Fang, Z., Tu, W., Li, Q., Shaw, S.-L., Chen, S., Chen, B.Y. , A Voronoi neighborhood-based search heuristic for distance/capacity constrained very large vehicle routing problems, International Journal of Geographical Information Science 27 (4) , pp. 741-764

230. Fatemeh Forouzanfar and Reza Tavakkoli-Moghaddam, Using a genetic algorithm to optimize the total cost for a location-routing-inventory problem in a supply chain with risk pooling, Journal of Applied Operational Research (2012) 4(1), 2–13 © 2012 Tadbir Operational Research Group Ltd.

231. P. Victer Paul, R. Baskaran, V.S.K. Venkatachalapathy and P. Dhavachelvan, Effective VE Population Initialization Technique for Permutation-Coded


Genetic Algorithm, International Journal of Computer Science and Electronics Engineering (IJCSEE) Volume 1, Issue 3 (2013) ISSN 2320-401X; EISSN 2320-4028

232. Vimal Savsani, HBBABC: A Hybrid Optimization Algorithm Combining Biogeography Based Optimization (BBO) and Artificial Bee Colony (ABC) Optimization For Obtaining Global Solution Of Discrete Design Problems, International Journal Of Computational Engineering Research (ijceronline.com) Vol. 2 Issue. 7, 85-97.


234. Voratas Kachitvichyanukul, Comparison of Three Evolutionary Algorithms: GA, PSO, and DE, Industrial Engineering & Management Systems Vol 11, No 3, September 2012, pp.215-223 http://dx.doi.org/10.7232/iems.2012.11.3.215 ISSN 1598-7248│EISSN 2234-6473│


236. Masrom, S. , Abidin, S.Z.Z. , Omar, N., A taxonomy of low-level hybridization in metaheuristics algorithms, 2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI), 18-20 Oct. 2012, 441 – 446, Nanjing

237. S.MASROM, A.M. NASIR, SITI.Z.Z.ABIDIN, A.S.A. RAHMAN, Software Framework for Vehicle Routing Problem with Hybrid Metaheuristic Algorithms. Recent Researches in Mathematical Methods in Electrical Engineering and Computer Science ISBN: 978-1-61804-051-0, 55-61

238. Paul, P.V. , Dhavachelvan, P. , Baskaran, R., A novel population initialization technique for Genetic Algorithm, 2013 International Conference on Circuits, Power and Computing Technologies (ICCPCT), 20-21 March 2013, 1235 – 1238, Nagercoil, Digital Object Identifier : 10.1109/ICCPCT.2013.6528933

239. P. Victer Paul, A. Ramalingam, R. Baskaran, P. Dhavachelvan, Κ.Vivekanandan, R. Subramanian and V.S.K.Venkatachalapathy, Performance Analyses on Population Seeding Techniques for Genetic Algorithms International Journal of Engineering and Technology (IJET), Vol 5 No 3 Jun-Jul 2013, ISSN : 0975-4024, 2993-3000.

240. GD YALCIN, N ERGINEL, A HEURISTIC BASED ON MULTI OBJECTIVE LINEAR PROGRAMMING UNDER FUZZINESS FOR THE VEHICLE ROUTING PROBLEM, Uncertainty Modeling in Knowlege Engineering and Decision Making, Cengiz Kahraman, Faik Tunc Bozbura, Etienne E. Kerre, Istanbul, Turkey, 26‐29 August 2012, 2012

241. Zhong, S., Dong, Y.-F., Sarosh, A., Artificial bee colony algorithm for parametric optimization of spacecraft attitude tracking controller, Advances in Intelligent Systems and Computing 215 , pp. 501-510, 2014

242. Liu, X., Optimization of min-max vehicle routing problem based on genetic algorithm, Proceedings of SPIE - The International Society for Optical Engineering 8920 , art. no. 89200B


243. Peker, M., Şen, B., Kumru, P.Y., An efficient solving of the traveling salesman problem: The ant colony system having parameters optimized by the Taguchi method, Turkish Journal of Electrical Engineering and Computer Sciences 21 (SUPPL. 1) , pp. 2015-2036, 2013

244. Sabar, N.R., Ayob, M., Kendall, G., Qu, R., Grammatical evolution hyper-heuristic for combinatorial optimization problems, IEEE Transactions on Evolutionary Computation 17 (6) , art. no. 6595625 , pp. 840-861

245. Chen, Y.Q., Peng, N.X., Study on Chaotic Particle Swarm Optimization Algorithm in solution of logistics scheduling problem, Advanced Materials Research 798 , pp. 720-727, 2013

246. Chen, Y.Q., Yang, W.J., Research on parallel genetic algorithms related logistics transportation scheduling problem, Applied Mechanics and Materials 411-414 , pp. 2704-2709 , 2013

247. Chen, Y.Q., Yang, W.J., Research on single distribution center logistics transportation scheduling problem based on static road capacity constraints, Advanced Materials Research 798 , pp. 954-962, 2013


249. Gopalakrishnan, K., Particle Swarm Optimization in Civil Infrastructure Systems: State-of-the-Art Review (Chapter B), Metaheuristic Applications in Structures and Infrastructures, 2013

250. Feng, X., Ma, M., Yu, H., Lake-energy optimization algorithm for travelling salesman problem, Jisuanji Yanjiu yu Fazhan/Computer Research and Development 50 (9) , pp. 2015-2027, 2013

251. Chainate, W., Pongcharoen, P., Thapatsuwan, P., Clonal selection of artificial immune system for solving the capacitated vehicle routing problem, Journal of Next Generation Information Technology 4 (3) , pp. 167-179, 2013

252. Reza Tavakkoli-Moghaddam, Fateme Forouzanfar and Sadoullah Ebrahimnejad, Incorporating location, routing, and inventory decisions in a bi-objective supply chain design problem with risk-pooling, Journal of Industrial Engineering International 2013, 9:19.

253. Gao guibing, Zhang hongbo, Zhang daobing, The Optimization of Materials Distribution Routing Plan in the Flow Manufacturing System Based on Multi-objective Evolutionary Algorithm, 2012 2nd International Conference on Computer Science and Network Technology, 1493-1496

254. Partha Guchhait, Manas Kumar Maiti, Manoranjan Maiti, Inventory model of a deteriorating item with price and credit linked fuzzy demand : A fuzzy differential equation approach, OPSEARCH, DOI 10.1007/s12597-013-0153-2

255. T. Geetha, A diverse versions and variations of Particle Swarm Optimization (PSO) algorithm for real world complex optimization problems, International Journal of Emerging Technology and Advanced Engineering, 3 (8), 2013, 454-459

256. Antonio Polimeni & Antonino Vitetta, Vehicle routing in urban areas: an optimal approach with cost function calibration, Transportmetrica B: Transport Dynamics, DOI: 10.1080/23249935.2013.826747

257. T. Geetha, An Optimistic Web Service Selection using Multi Colony – Particle Swarm Optimization (MC – PSO) algorithm, Journal of Emerging Technology and Advanced Engineering, 3 (8), 2013, 489-498


The paper “Honey Bees Mating Optimization Algorithm for Large Scale Vehicle Routing Problems, Natural Computing, 9, 5-27, 2010” is cited by:

258. Armin Lüer, Magdalena Benavente, Jaime Bustos and Bárbara Venegas, El

problema de rutas de vehículos: Extensiones y métodos de resolución, estado del arte, WORKSHOP INTERNACIONAL EIG2009, Departamento de Ingeniería de Sistemas Universidad de La Frontera – Chile, Diciembre 3 y 4, 2009

259. Bernardino, Eugenia M.; Bernardino, Anabela M.; Sanchez-Perez, Juan Manuel; Gomez-Pulido, Juan Antonio; Vega-Rodriguez, Miguel Angel; Hybrid Honey Bees Mating Optimisation algorithm to assign terminals to concentrators 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL), DOI: 10.1109/ISABEL.2010.5702845, 2010 , 1 - 7

260. Konrad Diwold, Madeleine Beekman, and Martin Middendorf, Honeybee Optimisation – An Overview and a New Bee Inspired Optimisation Scheme, Handbook of Swarm Intelligence – Concepts, Principles and Applications, Series on Adaptation, Learning, and Optimization, Springer, 2011, 295-327.

261. Ivona BRAJEVIC, Artificial bee colony algorithm for the capacitated vehicle routing problem, Proceedings of the European Computing Conference, ISBN: 978-960-474-297-4, 239-244, 2011.

262. Szeto, W.Y., Wu, Y., Ho, S.C., An Artificial Bee Colony Algorithm for the Capacitated Vehicle Routing Problem, European Journal of Operational Research (2011), 215, 1, 126-135.

263. S.D. Li, 1X. Liu, C. Cai, M.Y. Ding, Path Planning of UAVs Using Subsection Queen-bee-assisted Genetic Algorithm International Journal of Digital Content Technology and its Applications. Volume 5, Number 6, June 2011, doi:10.4156/jdcta.vol5.issue6.14, 113-121

264. Thieme, Frank, Entwurf eines Hummel inspirierten Algorithmus zur Maschinenbelegungsplanung, Universität Leipzig Fakultät für Mathematik und Informatik Institut für Informatik, MSc Thesis, September 2010

265. Bortfeldt A. A hybrid algorithm for the capacitated vehicle routing problem with three-dimensional loading constraints. Computers and Operations Research (2012), 39, 9, 2248-2257.

266. Andreas Bortfeldt and Jorg Homberger, Packing First, Routing Second – a Heuristic for the Vehicle Routing and Loading Problem, Computers & Operations Research, 40(3), 873-885, (2013)

267. Pichpibul, T., Kawtummachai, R., An improved Clarke and Wright savings algorithm for the capacitated vehicle routing problem, ScienceAsia 38 (3) , pp. 307-318, 2012

268. Yahyaoui Khadidja , Debbat Fatima, Khelfi Mohamed Fayçal, Hybrid Algorithm Based on HBMO and GRASP For Real-time Task Scheduling Problem Resolution, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 4, No 3, July 2012, ISSN (Online): 1694-0814, 197-203

269. Qingfang Ruan, Zhengqian Zhang, Lixin Miao, Haitao Shen, A hybrid approach for the vehicle routing problem with three-dimensional loading constraints. Computers and Operations Research (2013), 40(6), 1579-1589

270. Zhang Chao-qun, Zheng Jian-guo, Wang Xiang, Overview of research on bee colony algorithms, Application Research of Computers, 28, 9, Sep. 2011


271. Li, S., Liu, S., Ai, Q., Li, J., Fast 3D path pre-planning method for UAVs, Applied Mechanics and Materials 278-280 , pp. 1676-1681, 2013

272. S.C. Pandey, G.C. Nandi, TSD based framework for mining the induction rules, Journal of Computational Science (2013), http://dx.doi.org/10.1016/j.jocs.2013.11.005


The paper “A Hybrid Multi-Swarm Particle Swarm Optimization Algorithm for the Probabilistic Traveling Salesman Problem, Computers and Operations Research, 37, 432-442, 2010” is cited by:

274. P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo. Estimation-based metaheuristics for the probabilistic traveling salesman problem. Technical Report IridiaTr2009-017r001, 2009

275. P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo. Estimation-based metaheuristics for the probabilistic traveling salesman problem. Computers and Operations Research, 2010, 37, 11, 1939-1951.

276. Y-H. Liu, Different Initial Solution Generators in Genetic Algorithms for Solving the Probabilistic Traveling Salesman Problem, Applied Mathematics and Computation (2010), 216, 1, 125-137.

277. Prasanna BALAPRAKASH, Estimation-based Metaheuristics for Stochastic Combinatorial Optimization: Case Studies in Stochastic Routing Problems, Ph.D. Thesis, University of Bruxelles, 2010.

278. ZHENG Hong-ying, HOU Mei-ju, WANG Yu, Fast Method for Feature Selection in Intrusion Detection, Computer Engineering, Vol 36, No 6, 2010, 262-264

279. Babak Farhang Moghadama and Seyed Mohammad Seyedhosseini, A Particle Swarm Approach to Solve Vehicle Routing Problem with Uncertain Demand: A Drug Distribution Case Study, International Journal of Industrial Engineering Computations, 1, (2010), 55-66.

280. Mu Aiqin and Zhang Ruiping, Solving Traveling Salesman Problem Based on Improved Particle Swarm Optimization Algorithm, available on line www.paper.edu.cn/index.php/default/downPaper/201005-589.pdf

281. Bestoun S. Ahmed, Kamal Z. Zamli, "PSTG: A T-Way Strategy Adopting Particle Swarm Optimization," ams, pp.1-5, 2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation, 2010

282. Bestoun S. Ahmed, Kamal Z. Zamli, T-Way Test Data Generation Strategy Based on Particle Swarm Optimization , Second International Conference on Computer Research and Development (ICCRD), 2010 , pp 93-97.

283. Jian Luo, Chang-qing Wu, Wen-cai Hong, Yong Cheng, San-yao Xu, Research on Scheduling of the RGV System Based on QPSO, 8th IEEE International Conference on Control and Automation, Xiamen, China, June 9-11, 2010

284. Zhang Yu Bin, Lin Li Zhong, Zhang Ya Ming, Study on network flow prediction model based on particle swarm optimization algorithm and RBF


neural network, 3rd IEEE International Conference on Computer Science and Information Technology, Vol. 2, pp. 302-306

285. Yu Zhang, Xiaopeng Xie, Taobo Cheng, Application of PSO and SVM in image classification, 3rd IEEE International Conference on Computer Science and Information Technology, Vol. 6, pp. 629-631.

286. Yang, Yu, Dai, Hongwei, Li, Hui; , "Adaptive Genetic Algorithm with Application for Solving Traveling Salesman Problems," 2010 International Conference on Internet Technology and Applications, pp. 1-4, 20-22 Aug. 2010 doi: 10.1109/ITAPP.2010.5566615

287. Cheng gang, A PSO-GA Method to Solve a Partial Shipment and Scheduling Problem, 2010 International Conference on Computer Application and System Modeling (ICCASM 2010)

288. Liu, J., Wu, C., Wang, X., Yu, D., Automotive parts' loading optimization based on improved quadratic particle swarm optimization, International Journal of Humanoid Robotics, Volume 7, Issue 4, December 2010, Pages 699-712

289. X. Geng, Z. Chen, W. Yang, D. Shi, K. Zhao, Solving the traveling salesman problem based on an adaptive simulated annealing algorithm with greedy search, Applied Soft Computing Journal (2011), 11, 4, 3680-3689.


291. Evi Tjandradjaja, An Approach using Discrete Particle Swarm Optimization and Bottleneck Heuristic to Solve Hybrid Flow Shop Scheduling Problem, 2010, MSc Thesis, China

292. Walter J. Gutjahr, Recent trends in metaheuristics for stochastic combinatorial optimization, Central European Journal of Computer Science, 1(1) , 2011, 58-66, DOI: 10.2478/s13537-011-0003-3

293. Chaogai Xue, Lili Dong, Guohua Li, An Improved Immune Genetic Algorithm for the Optimization of Enterprise Information System based on Time Property, JOURNAL OF SOFTWARE, VOL. 6, NO. 3, MARCH 2011, 436-443

294. A.A. Taleizadeh, F. Barzinpour, H.-M. Wee, Meta-heuristic algorithms for solving a fuzzy single period problem, Mathematical and Computer Modelling (2011), 54, 1273-1285

295. M. Chih, L.-L. Yeh, F.-C. Li, Particle Swarm Optimization for the Economic and Economic Statistical Designs of the x Control Chart, Applied Soft Computing Journal (2011), 11, 8, 5053-5067

296. Wei Huang, Xingnan Zhang, Projection Pursuit Flood Disaster Classification Assessment Method Based on Multi-Swarm Cooperative Particle Swarm Optimization, Journal of Water Resource and Protection, 2011, 3, 415-420 doi:10.4236/jwarp.2011.36051 Published Online June 2011 (http://www.scirp.org/journal/jwarp)

297. M. Yaghini, M. Momeni, M. Sarmadi, Finding the Shortest Hamiltonian Path for Iranian Cities Using Hybrid Simulated Annealing and Ant Colony Optimization Algorithms, International Journal of Industrial Engineering & Production Research, March 2011, Volume 22 Number 1 pp.. 31--42


298. Jiao Zhao, Lixin Tang, "The Simultaneous Quay Crane and Truck Scheduling Problem in Container Terminals," Intelligent Computation Technology and Automation, International Conference on, vol. 1, pp. 279-282, 2011 Fourth International Conference on Intelligent Computation Technology and Automation, 2011.

299. Ayca Altay and Gulgun Kayakutlu, Animal Food Chain Based Particle Swarm Optimization, Proceedings of the World Congress on Engineering 2011 Vol II WCE 2011, July 6 - 8, 2011, London, U.K.

300. RAO Wei-zhen, JIN Chun, HUANG Ying-yi, Hybrid algorithm of the nearest neighbor and insertion for the traveling salesman problem, Systems Engineering — Theory & Practice, Vol.31, No.8, Aug., 2011, 1419-1428

301. Bestoun S. Ahmed, Kamal Z. Zamli, Chee Peng Lim, Application of Particle Swarm Optimization to Uniform and Variable Strength Covering Array Construction, Applied Soft Computing Journal (2012), 12, 4, 1330-1347.

302. R. Venkata Rao and Vimal J. Savsani, Applications of Modified Optimization Algorithms to the Unconstrained and Constrained Problems, Mechanical Design Optimization Using Advanced Optimization Techniques, Springer Series in Advanced Manufacturing, 2012, 69-121, DOI: 10.1007/978-1-4471-2748-2_4

303. R. Venkata Rao and Vimal J. Savsani, Advanced Optimization Techniques, Mechanical Design Optimization Using Advanced Optimization Techniques, Springer Series in Advanced Manufacturing, 2012, 5-34, DOI: 10.1007/978-1-4471-2748-2_2

304. C.-J. Liao, E. Tjandradjaja, T.-P. Chung, An approach using particle swarm optimization and bottleneck heuristic to solve hybrid flow shop scheduling problem, Applied Soft Computing Journal (2012), 12, 6, 1755-1764.


306. Guillermo Cabrera G., Silvana Roncagliolo D., Juan P. Riquelme, Claudio Cubillos and Ricardo Soto, A Hybrid Particle Swarm Optimization - Simulated Annealing Algorithm for the Probabilistic Travelling Salesman Problem, SIC: vol. 21, issue 1/2012, pp. 49-58

307. Peitsang Wu, Yung-Yao Hung and Han-Chieh Chiang, A Hybrid Electromagnetism-like Mechanism: A Metaheuristic Algorithm for Solving the Travelling Salesman Problem, International Journal of Operations Research Vol. 9, No. 1, 53−65 (2012)

308. Ahmed, B.S., Zamli, K.Z., Lim, C.P., Constructing a t-way interaction test suite using the Particle Swarm Optimization approach, International Journal of Innovative Computing, Information and Control 8 (1 A) , pp. 431-451

309. Hongqi Li, Yue Lu, Jun Zhang, and Tianyi Wang, Solving the Tractor and Semi-Trailer Routing Problem Based on a Heuristic Approach, Hindawi Publishing Corporation Mathematical Problems in Engineering Volume 2012, Article ID 182584, 12 pages doi:10.1155/2012/182584

310. Ulrike Ritzinger and Jakob Puchinger, Hybrid Metaheuristics for Dynamic and Stochastic Vehicle Routing, E.-G. Talbi (Ed.): Hybrid Metaheuristics, SCI 434, pp. 77–95, Springer-Verlag Berlin Heidelberg 2013

311. Ayca Altay and Gulgun Kayakutlu, Evolutions in Particle Swarm Optimization: Benchmark on Continuous Cases, C. Kahraman (ed.), Computational Intelligence Systems in Industrial Engineering, Atlantis


Computational Intelligence Systems 6, DOI: 10.2991/978-94-91216-77-0_26, Atlantis Press 2012, 557-577.

312. Wu Deng, Rong Chen, Bing He, Yaqing Liu, Lifeng Yin, Jinghuan Guo, A novel two-stage hybrid swarm intelligence optimization algorithm and application, Soft Computing, 16(10), 1707-1722, Springer, 2012

313. R.J. Kuo, Ferani E. Zulvia, Kadarsah Suryadi Hybrid particle swarm optimization with genetic algorithm for solving capacitated vehicle routing problem with fuzzy demand – A case study on garbage collection system, Applied Mathematics and Computation (2012), 219(5), 2574-2588.

314. Latha Shankar, B., S. Basavarajappa, Jason C.H. Chen, Rajeshwar S. Kadadevaramath Location and allocation decisions for multi-echelon supply chain network – A multi-objective evolutionary approach. Expert Systems with Applications (2013), 40(2), 551-562.

315. Α. Azadeh, M. Hosseinabadi Farahani, H. Eivazy, S. Nazari-Shirkouhi, G. Asadipour, A hybrid meta-heuristic algorithm for optimization of crew scheduling, Applied Soft Computing Journal (2013), 13(1), 158-164.

316. Jiang, H., Liu, T., Chen, J. , An exact algorithm for TSP based on time-delay message broadcasting mechanism in cloud computing environment, Advances in Information Sciences and Service Sciences 4 (20) , pp. 299-308, 2012

317. Xuesong Yan, Can Zhang , Wenjing Luo, Wei Li, Wei Chen and Hanmin Liu, Solve Traveling Salesman Problem Using Particle Swarm Optimization Algorithm, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 6, No 2, November 2012 ISSN (Online): 1694-0814, 264-271


319. Reuy-Maw Chen and Chuin-Mu Wang, Controlling Search Using an S Decreasing Constriction Factor for Solving Multi-mode Scheduling Problems, M. Ali et al. (Eds.): IEA/AIE 2013, LNAI 7906, pp. 545–555, 2013. © Springer-Verlag Berlin Heidelberg 2013

320. Stacy A. Voccia, Ann M. Campbell, Barrett W. Thomas, The probabilistic traveling salesman problem with time windows, EURO Journal of Transportation and Logistics (2013) 2:89–107

321. Min Huang, Xingwei Wang, Fu-Qiang Lu, and Hua-Ling Bi, A Coordination of Risk Management for Supply Chains Organized as Virtual Enterprises, Hindawi Publishing Corporation Mathematical Problems in Engineering Volume 2013, Article ID 931690, 11 pages http://dx.doi.org/10.1155/2013/931690

322. Ruey-Maw Chen and Hsiao-Fang Shih, Solving University Course Timetabling Problems Using Constriction Particle Swarm Optimization with Local Search, Algorithms 2013, 6, 227-244; doi:10.3390/a6020227

323. Jorge Ivan Pérez Rave, Gloria Patricia Jaramillo Álvarez, Relevant literary space on travelling salesman problem (TSP): contents, classification, methods and fields of inspiration, Produção, 23(4), 866-876

324. Baltas, G., Tsafarakis, S., Saridakis, C., Matsatsinis, N. , Biologically Inspired Approaches to Strategic Service Design: Optimal Service Diversification Through Evolutionary and Swarm Intelligence Models, Journal of Service Research 16 (2) , pp. 186-201


325. Rao, W.-Z., Jin, C., Lu, L.-T. , An improved greedy algorithm with information of edges' location for solving the Euclidean traveling salesman problem, Jisuanji Xuebao/Chinese Journal of Computers 36 (4) , pp. 836-850

326. Xiaohua Wang, Aiqin Mu, Shisong Zhu, ISPO: A New Way to Solve Traveling Salesman Problem, Intelligent Control and Automation, 2013, 4, 122-125 doi:10.4236/ica.2013.42017 Published Online May 2013 (http://www.scirp.org/journal/ica)

327. Masoud Yaghini, Mohsen Momeni and Mohammadreza Sarmadi, DIMMA-Implemented Metaheuristics for Finding Shortest Hamiltonian Path Between Iranian Cities Using Sequential DOE Approach for Parameters Tuning,International Journal of Applied Metaheuristic Computing (IJAMC), Volume 2, Issue 2. Copyright © 2011. 19 pages.

328. Masoud Yaghini, Mohsen Momeni, Mohammadreza Sarmadi, DOE–based parameter tuning for local branching algorithm, International Journal of Metaheuristics, Volume 2, Number 1/2012, 1-14, DOI: 10.1504/IJMHEUR.2012.048211

329. WU Xin-jie, HUANG Guo-xing, Application of particle filter algorithm intraveling salesman problem. Journal of Computer Applications 2012 32 (08): 2219-2222 ISSN: 1001-9081: CN: 51-1307/TP

330. Weiqi Li, Constructing a Solution Attractor for the Probabilistic Traveling Salesman Problem through Simulation, M. Emmerich et al. (eds.), EVOLVE - A Bridge between Probability, Set Oriented Numerics, 1 and EvolutionaryComputation IV, Advances in Intelligent Systems and Computing 227, DOI: 10.1007/978-3-319-01128-8_1, c_ Springer International Publishing Switzerland2013

331. Guo, H.L., Research on rule extraction technology based on genetic algorithm inintrusion detection, Advanced Materials Research 760-762 , pp. 857-861, 2013

332. Pang, S., Li, T., Dai, F., Yu, M., Particle swarm optimization algorithm for multi-salesman problem with time and capacity constraints, Applied Mathematics and Information Sciences 7 (6) , pp. 2439-2444, 2013

333. Guo, H.L., Research on the model of database intrusion protection system based on E-commerce platform, Applied Mechanics and Materials 336-338 , pp. 2559-2562, 2013

334. Min Huang, XingweiWang, Fu-Qiang Lu, and Hua-Ling Bi, A Coordination of Risk Management for Supply Chains Organized as Virtual Enterprises, HindawiPublishing Corporation Mathematical Problems in Engineering Volume 2013, Article ID 931690, 11 pages http://dx.doi.org/10.1155/2013/931690

335. Srinjoy Ganguly and Swagatam Das, A Novel Ant Colony OptimizationAlgorithm for the Vehicle Routing Problem, B.K. Panigrahi et al. (Eds.): SEMCCO 2013, Part I, LNCS 8297, pp. 401–412, 2013. © Springer International Publishing Switzerland 2013

336. Qingjian Ni, Cen Cao, and Huimin Du, A New Particle Swarm Optimization withPopulation Restructuring Based Multiple Population Strategy, B.K. Panigrahi et al. (Eds.): SEMCCO 2013, Part I, LNCS 8297, pp. 688–698, 2013. Springer International Publishing Switzerland 2013

337. Lixin Tang, Jiao Zhao, Jiyin Liu, Modeling and solution of the joint quay craneand truck scheduling problem, European Journal of Operational Research, available on line September 2013


The paper “Ant Colony and Particle Swarm Optimization for Financial Classification Problems, Expert Systems with Applications, 36, 7, 10604-10611, 2009” is cited by:

338. Zhihua Cui, Zhongzhi Shi, Boid Particle Swarm Optimization, International Journal of Innovative Computing and Applications, 2009, Vol 2, No2, 77-85.

339. Zhihua Cui and Xingjuan Cai, Integral Particle Swarm Optimization with Dispersed Accelerator Information, Fundamenta Informaticae, 2009, 95(4): 427-447.

340. Xingjuan Cai, Ying Tan, Individual Predicted Integral-controlled Particle Swarm Optimization, International Journal of Innovative Computing and Applications, 2009, Vol 2 No 2 115-122.

341. Ali Hassan, Particle Swarm Optimization for routing and wavelength assingment in next generation WDM networks, Ph.D. Thesis, Queen Mary University of London, December 2009

342. Zhihua Cui, Xingjuan Cai, Ying Tan and Jianchao Zeng, “Integral-controlled Particle Swarm Optimization”, Handbook of Swarm Intelligence – Concepts, Principles and Applications, Series on Adaptation, Learning, and Optimization, Springer, 2011, 175-199.

343. Dragan Simić, Vladeta Gajić, and Svetlana Simić, An Approach of Bio-inspired Hybrid Model for Financial Markets, M. Graña Romay et al. (Eds.): HAIS 2010, Part I, LNAI 6076, pp. 205–212, 2010. © Springer-Verlag Berlin Heidelberg 2010

344. Qingsong Song, Zuren Feng and Mingli Lei, Stable training method for echo state networks with output feedbacks, International Conference on Networking, Sensing and Control (ICNSC), 2010 , 159-164

345. Yorgos Goletsis, Themis P. Exarchos and Christos D. Katsis, Credit scoring using an Ant mining approach, Human Systems Management, 29 (2010) 79–88

346. Noorhaniza Wahid, Yuk Ying Chung, Wei-Chang Yeh and Guang Liu, Feature Selection Using a Novel Swarm Intelligence Algorithm with Rough Sets, BIOCOMP'10, The 2010 International Conference on Bioinformatics, and Computational Biology, 2010

347. Sumona Mukhopadhyay, Santo Banerjee Cooperating Swarms: A Paradigm for Collective Intelligence and its Application in Finance, International Journal of Computer Applications (0975 – 8887) Volume 6– No.10, September 2010, 31-41.

348. W. Chu, X. Gao, S. Sorooshian, Handling boundary constraints for particle swarm optimization in high-dimensional search space, Information Sciences (2011), 181, 20, 4569-4581.

349. Ognjen Radović, AGENT-BAZIRANI MODEL ELEKTRONSKOG FINANSIJSKOG TRŽIŠTA, Ph.D. Thesis, Subotica 2010, Godine.

350. Mohammad Dashti J, Kambiz Shojaee G., S.M.H. Seyedkashi, M. Behnam T., Novel Simulated Annealing Algorithm in order to Optimal Adjustment of Digital PID Controller, 11th Int. Conf. Control, Automation, Robotics and Vision Singapore, 7-10th December 2010

351. I-Wei Kao and Chi-Yang Tsia, Selective Regeneration Particle Swarm Optimization for Inventory Classification in Supply Chain Systems, 2010 Second World Congress on Nature and Biologically Inspired Computing Dec. 15-17,2010 in Kitakyushu, Fukuoka, Japan


352. Chau Minh Ky, A Fuzzy MCDM method to select the best company based on Financial Report Analysis, MSc Thesis, National University of Tainan, January 2011

353. Yorgos Goletsis, Themis P. Exarchos and Christos D. Katsis, Bio-inspired intelligence for credit scoring, International Journal of Financial Markets and Derivatives, Volume 2, Number 1-2 / 2011, 32 - 49

354. Ning Chen, Bernardete Ribeiro, Armando S. Vieira, Joγo Duarte, Joγo C. Neves, A genetic algorithm-based approach to cost-sensitive bankruptcy prediction, Expert Systems with Applications 38 (2011) 12939–12945

355. Chopade, Ramchandra P. , Agnihotri, E. , Singh, A. K. , Kumar, A. , Uppaluri, R. , Mishra, Subhash C. and Mahanta, P.(2011) 'Application of a Particle Swarm Algorithm for Parameter Retrieval in a Transient Conduction-Radiation Problem', Numerical Heat Transfer, Part A: Applications, 59: 9, 672 — 692

356. Ho, T.K., Tsang, C.W., Ip, K.H., Kwan, K.S., Train Service Timetabling in Railway Open Markets by Particle Swarm Optimisation, Expert Systems with Applications (2012), 39, 1, 861-868.

357. Ayca Altay and Gulgun Kayakutlu, Animal Food Chain Based Particle Swarm Optimization, Proceedings of the World Congress on Engineering 2011 Vol II WCE 2011, July 6 - 8, 2011, London, U.K.

358. Jung-Yuan Kung, Tzung-Nan Chuang and Chau Minh Ky, A Fuzzy MCDM Method to Select The Best Company Based on Financial Report Analysis, 2011 IEEE International Conference on Fuzzy Systems June 27-30, 2011, Taipei, Taiwan

359. Po-wen Chen, Combining SVM and PSO to explore the prediction models of Taiwan Stock Market, MSc Thesis, Graduate Institute of Information and Logistics Management, 2010, China

360. Hu Huang, Hong-BoXie, Jing-YiGuo, Hui-JuanChen, Ant colony optimization-based feature selection method for surface electromyography signals classification, Computers in Biology and Medicine (2012), 42, 1, 30-38.

361. Castillo-Ortega, R., Marín, N., Sánchez, D, Linguistic local change comparison of time series. IEEE International Conference on Fuzzy Systems, art. no. 6007409, pp. 2909-2915, 2011

362. Janaki Meena, M., Chandran, K.R., Karthik, A., Vijay Samuel, A., An Enhanced ACO Algorithm to Select Features for Text Categorization and Its Parallelization, Expert Systems with Applications (2012), 39, 5, 5861-5871

363. Monica Widiasri, Army Justitia, Agus Zaina Arifin, Penerapan Particle Swarm Optimization untuk Penentuan Parameter Regularisasi pada Kernel Regularized Discriminant Analysis, The 13th Industrial Electronics Seminar 2011 (IES 2011), Electronic Engineering Polytechnic Institute of Surabaya (EEPIS), Indonesia, October 26, 2011, ISBN: 978-979-8689-14-7, 61-66

364. I-Wei Kao, Chi-Yang Tsai, Yi-Chen Wang, A Novel Approach for Inventory Classification in Two-Stage Supply Chain System, The 7th International Conference on Computing and Information Technology, IC2IT2011

365. Binoy B. Nair, V.P. Mohandas, N.R. Sakthivel, Predicting stock market trends using hybrid ant–colony–based data mining algorithms: an empirical validation on the Bombay Stock Exchange, International Journal of Business Intelligence and Data Mining, Volume 6, Number 4/2011, 362-381


366. Martin, A. Aswathy. V., V. Prassana Venkatessan, Framing Qualitative Bankruptcy Prediction Rules Using Ant Colony Algorithm, International Journal of Computer Applications (0975 – 8887) Volume 41– No.21, March 2012

367. Song, Q., Effect of Leaky rate on the stability of autonomously echo state network, Information Technology Journal 11 (7) , pp. 775-781, 2012

368. Bae, C., Yeh, W.-C., Wahid, N., Chung, Y.Y., Liu, Y., A new simplified swarm optimization (SSO) using exchange local search scheme, International Journal of Innovative Computing, Information and Control 8 (6) , pp. 4391-4406, 2012

369. Tsai, C.-Y., Kao, I.-W. , Particle swarm optimization with selective particle regeneration for data clustering, Expert Systems with Applications 38 (6) , pp. 6565-6576, 2011

370. K. Khalili-Damghani et al., A hybrid fuzzy rule-based multi-criteria framework for sustainable project portfolio selection, Information Sciences (2013), 220 , pp. 442-462

371. Martin, A., Aswathy, V., Balaji, S., Lakshmi, T.M., Venkatesan, V.P. , An analysis on qualitative bankruptcy prediction using fuzzy ID3 and ant colony optimization algorithm, International Conference on Pattern Recognition, Informatics and Medical Engineering, PRIME 2012 , art. no. 6208382 , pp. 416-421

372. Hatamlou, A., Hatamlou, M. , PSOHS: An efficient two-stage approach for data clustering, Memetic Computing 5 (2) , pp. 155-161, 2013

373. Lazzús, J.A., Hybrid particle swarm-ant colony algorithm to describe the phase equilibrium of systems containing supercritical fluids with ionic liquids, Communications in Computational Physics 14 (1) , pp. 107-125, 2013

The paper “Pap Smear Diagnosis Using a Hybrid Intelligent Scheme Focusing on Genetic Algorithm Based Feature Selection and Nearest Neighbor Classification, Computers in Biology and Medicine, 39, 1, 69-78, 2009” is cited by:

374. Susan Hasty, Genetics and Genomics, Women’s Health Weekly, 23 April 2009

375. Jie Lv, Jianzhong Su, Fang Wang, Yunfeng Qi, Hongbo Liu, Yan Zhang, Detecting Novel hypermethylated genes in Breast cancer benefiting from feature selection, Computers in Biology and Medicine 40, (2010), 159–167.

376. Malin Björnsdotter Åberg, MACHINE LEARNING FOR IDENTIFICATION OF BRAIN ACTIVITY PATTERNS WITH APPLICATIONS IN GENTLE TOUCH PROCESSING, Ph.D. Thesis, Department of Physiology Institute of Neuroscience and Physiology the Sahlgrenska Academy University of Gothenburg, 2009, ISBN:978-91-628-7854-2, Printed by Geson Hyltetryck, Göteborg

377. R. STOEAN, C. STOEAN, M. LUPSOR, H. STEFANESCU, AND R. BADEA, Evolutionary Conditional Rules versus Support Vector Machines Weighted Formulas for Liver Fibrosis Degree Prediction, Annals of the University of Craiova, Mathematics and Computer Science Series Volume 37(1), 2010, Pages 43–54 ISSN: 1223-6934

378. Umberto Morbiducci, Giacomo Di Benedetto, Alexandra Kautzky-Willer, Marco A. Deriu, Giovanni Pacini, Andrea Tura, Identification of a model of non-esterified fatty acids dynamics through genetic algorithms: The case of


women with a history of gestational diabetes, Computers in Biology and Medicine 41 (2011) 146–153

379. Catalin Stoean, Ruxandra Stoean, Monica Lupsor, Horia Stefanescu, Radu Badea Feature selection for a cooperative coevolutionary classifier in liver fibrosis diagnosis, Computers in Biology and Medicine (2011), 41, 4, 238-246.

380. Gorunescu, F., Belciug, S., Gorunescu, M., Badea, R., Intelligent decision-making for liver fibrosis stadialization based on tandem feature selection and evolutionary-driven neural network, Expert Systems with Applications (2012), 39, 12824-12832

381. Lei, Y.-G., He, Z.-J., Advances in applications of hybrid intelligent fault diagnosis and prognosis technique, Zhendong yu Chongji/Journal of Vibration and Shock 30 (9) , pp. 129-135

382. Marina E. Plissiti and Christophoros Nikou, Cervical Cell Classification Based Exclusively on Nucleus Features, A. Campilho and M. Kamel (Eds.): ICIAR 2012, Part II, LNCS 7325, pp. 483–490, 2012. Springer-Verlag Berlin Heidelberg 2012

383. Yusof, R., Khairuddin, U., Khalid, M., A new mutation operation for faster convergence in genetic algorithm feature selection, International Journal of Innovative Computing, Information and Control 8 (10 B) , pp. 7363-7378 , 2012

384. Marina E. Plissiti and Christophoros Nikou, A Review of Automated Techniques for Cervical Cell Image Analysis and Classification, D. Iacoviello and U. Andreaus (eds.), Biomedical Imaging and Computational Modeling in Biomechanics, Lecture Notes in Computational Vision and Biomechanics 4, DOI 10.1007/978-94-007-4270-3_1, Springer Science+Business Media Dordrecht 2013

385. Asli Genctav, Selim Aksoy, Sevgen Onder, Unsupervised segmentation and classification of cervical cell images, Pattern Recognition, 45(12), 4151-4168.

386. Özçift, A., Gülten, A., Genetic algorithm wrapped Bayesian network feature selection applied to differential diagnosis of erythemato-squamous diseases, Digital Signal Processing: A Review Journal 23 (1) , pp. 230-237, 2013

387. Luz Helena Camargo Casallas, Classification of squamous cell cervical cytology, Thesis submitted in partial fulfillment of the requirements for the degree of: Magister en Ingeniera Biomedica, Universidad Nacional de Colombia Departamento de Imagenes Diagnosticas Bogota D.C., Colombia 2012

388. Chen, Y. , Huang, P. , Lin, K. , Wang, L., Semi‐Automatic Segmentation and Classification of Pap Smear Cells, IEEE Journal of Biomedical and Health Informatics, (Volume:PP , Issue: 99 ), 2013

389. Kardan, A.A., Kavian, A., Esmaeili, A., Simultaneous feature selection and feature weighting with K Selection For KNN classification Using BBO Algorithm, IKT 2013 - 2013 5th Conference on Information and Knowledge Technology , art. no. 6620092 , pp. 349-354

390. Juan Valentín Lorenzo-Ginori, Wendelin Curbelo-Jardines, José Daniel López-Cabrera, and Sergio B. Huergo-Suárez, Cervical Cell Classification Using Features Related to Morphometry and Texture of Nuclei, J. Ruiz-Shulcloper and G. Sanniti di Baja (Eds.): CIARP 2013, Part II, LNCS 8259, pp. 222–229, 2013. © Springer-Verlag Berlin Heidelberg 2013


391. Ling Zhang, Hui Kong, Chien Ting Chin, Shaoxiong Liu, Xinmin Fan, Tianfu Wang, Siping Chen, Automation-Assisted Cervical Cancer Screening in Manual Liquid-Based Cytology With Hematoxylin and Eosin Staining, Cytometry Part A, DOI: 10.1002/cyto.a22407, 2013

The paper “An Evolutionary Approach to Construction of Outranking Models for Multicriteria Classification: The Case of the ELECTRE TRI Method, European Journal of Operational Research, 199, 496-505, 2009” is cited by:

392. Fasanghari, M.; Mohamedpour, M.; Mohamedpour, M.A., A Novel Method Combining ORESTE, Fuzzy Set Theory, and TOPSIS Method for Ranking the Information and Communication Technology Research Centers of Iran. Sixth International Conference on Information Technology: New Generations, 2009. ITNG '09. 27-29 April 2009, Page(s): 165-170, Digital Object Identifier 10.1109/ITNG.2009.202

393. Fernandez E, Lopez, E., Bernal, S., Coello Coello, C.A., Navarro, J. Evolutionary multiobjective optimization using an outranking-based dominance generalization. Computers and Operations Research (2010), 37, 2, 390-395.

394. Feras Al-Obeidat, Nabil Belacel, Juan A. Carretero, Prabhat Mahanti, Differential Evolution for Learning the Classification Method PROAFTN, Knowledge-Based Systems, (2010), 23, 5, 418-426.

395. Chrysovalantis Gaganis, Fotios Pasiouras, Michael Doumpos and Constantin Zopounidis, Modelling banking sector stability with multicriteria approaches, Optimization Letters, (2010), 4, 4, 543-558.

396. Michael Doumpos and Constantin Zopounidis, Preference Disaggregation and Statistical Learning for Multicriteria Decision Support: A Review, European Journal of Operational Research, (2011), 209, 3, 203-214.

397. Chun-Che Huang, Tzu-Liang (Bill) Tseng, Horng-Fu Chuang, Ying-Ling Hsieh, Attribute-Oriented Rule Induction Using Rough Set Theory: A Case Study of Customer Relationship Management, International Conference on Business and Information, July 5-7, 2010, Rihga Royal Hotel Kokura, Kitakyushu, Japan

398. Michael Doumpos and Constantin Zopounidis, Disaggregation Analysis and Statistical Learning: An Integrated Framework for Multicriteria Decision Support, Handbook of Multicriteria Analysis, Vol 103, pp. 215-240, Springer, 2010.

399. Jose Rui Figueira, Salvatore Greco, Bernard Roy and Roman Słowiński, ELECTRE Methods: Main Features and Recent Developments, Handbook of Multicriteria Analysis, Vol 103, pp. 51-89, Springer, 2010.

400. E. Fernandez, E. Lopez, F. Lopez, C.A. Coello Coello, Increasing selective pressure towards the best compromise in evolutionary multiobjective optimization: The extended nosga method, Information Sciences (2011), 181, 1, 44-56.

401. Jaroslaw Arabas, Adam Szczepankiewicz, and Tomasz Wroniak, Experimental Comparison of Methods to Handle Boundary Constraints in Differential Evolution, R. Schaefer et al. (Eds.): PPSN XI, Part II, LNCS 6239, pp. 411–420, 2010, Springer-Verlag Berlin Heidelberg 2010

402. Hatami-Marbini A, Tavana M. An extension of the Electre I method for group decision-making under a fuzzy environment. Omega (2011), 39, 4, 373-386.


403. Chung, Wingyan and Tseng, Tzu-Liang (Bill), "Extracting Business Intelligence from Online Product Reviews: An Experiment of Automatic Rule-Induction" (2010). ICIS 2010 Proceedings. Paper 233.

404. Fernandez, E., Navarro, J., A new approach to multi-criteria sorting based on fuzzy outranking relations: the theseus method, European Journal of Operational Research (2011), 213, 2, 405-413

405. Michael Doumpos and Constantin Zopounidis, A Multicriteria Outranking Modeling Approach for Credit Rating, Decision Sciences, A Journal of the Decision Science Institute, Volume 42, Number 3, 721-742, August 2011

406. Jun Zheng, Olivier Cailloux, and Vincent Mousseau, Constrained Multicriteria Sorting Method Applied to Portfolio Selection, R.I. Brafman, F. Roberts, and A. Tsoukias (Eds.): ADT 2011, LNAI 6992, pp. 331–343, 2011. Springer-Verlag Berlin Heidelberg 2011

407. M. MEDINECKIENE, E.K. ZAVADSKAS, Z. TURSKIS, Dwelling selection by applying fuzzy game theory, ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING, Vol. XI, No. 3, 2011, 681-697

408. Eduardo Fernández González, Edy López Cervantes, Jorge Navarro Castillo e Inés Vega López, Application of Multi-Objective Metaheuristics to Public Portfolio Selection Through Multidimensional Modelling of Social Return, Gestión y Política Pública, VOLUMEN XX . NÚMERO 2 . II SEMESTRE DE 2011 . PP. 381-432

409. Dimitrios Andriosopoulos, Chrysovalantis Gaganis, Fotios Pasiouras and Constantin Zopounidis, An application of multicriteria decision aid models in the prediction of open market share repurchases, Omega, (2012), 40, 6, 882-890

410. Gilberto Rivera, Claudia G. Gómez, Eduardo R. Fernández, Laura Cruz, Oscar Castillo, and Samantha S. Bastiani, Handling of Synergy into an Algorithm for Project Portfolio Selection O. Castillo et al. (Eds.): Recent Advances on Hybrid Intelligent Systems, SCI 451, pp. 417–430, © Springer-Verlag Berlin Heidelberg 2013

411. Rolland, A., Reference-based Preferences Aggregation Procedures in Multicriteria Decision Making, European Journal of Operational Research (2013), 225(3), 479-486

412. S. Silas, E.B. Rajsingh, K. Ezra, Efficient Service Selection Middleware using ELECTRE methodologies for cloud environments, Information Technology Journal, 2012, 11(7), 868-875

413. Chung, W., Tseng, T-L., Discovering Business Intelligence from Online Product Reviews: ARule-InductionFramework, Expert Systems with Applications (2012), 39(15), 11870-11879.

414. Sousa, R., Yevseyeva, I., Da Costa, J.F.P., Cardoso, J.S. , Multicriteria models for learning ordinal data: A literature review, Studies in Computational Intelligence 427 , pp. 109-138, 2013

415. Valentina Minnetti, Renato De Leone, The Estimation Of The Parameters Of The Electre Tri Method: A Proposal Of A New Two Step Procedure, 43rd Annual Conference of the Italian Operational Research Society Graph Algorithms and Optimization Vietri sul Mare (SA), September 4-7 2012

416. Olivier SOBRIE and Marc PIRLOT, Implementation of ELECTRE TRI in an Open Source GIS, European Working Group “Multiple Criteria Decision Aiding”, Series 3, nº26, Fall 2012, 14-18.


417. Fernandez Eduardo, Navarro Jorge, Mazcorro Gustavo, Evolutionary multi-objective optimization for inferring outranking model’s parameters under scarce reference information and effects of reinforced preference, Foundations of Computing and Decision Sciences, 2012, 37(3), 163-197.

418. Fernandez, E., Lopez, E., Mazcorro, G., Olmedo, R., Coello Coello, C.A., Application of the non-outranked sorting genetic algorithm to public project portfolio selection, Information Sciences 228 , pp. 131-149, 2013

419. José Rui Figueira, Salvatore Greco, Bernard Roy, Roman Słowiński, An Overview of ELECTRE Methods and their Recent Extensions, Journal of Multi-Criteria Decision Analysis, Volume 20, Issue 1-2, pages 61–85, January-April 2013

420. Jun ZHENG, Preference Elicitation for Aggregation Models based on Reference Points : Algorithms and Procedures, Ph.D. Thesis, ÉCOLE CENTRALE DES ARTS ET MANUFACTURES « ÉCOLE CENTRALE PARIS », 2012

421. Sobrie, O., Mousseau, V., Pirlot, M., Learning a majority rule model from large sets of assignment examples, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8176 LNAI , pp. 336-350, 2013.

422. Marco Corazza, Stefania Funari, and Riccardo Gusso, A Methodological Proposal for an Evolutionary Approach to Parameter Inference in MURAME-Based Problems, S. Bassis et al. (eds.), Recent Advances of Neural Network Models and Applications, Smart Innovation, Systems and Technologies 26, DOI: 10.1007/978-3-319-04129-2_8, © Springer International Publishing Switzerland 2014, 75-86

423. Salaja S, Novel service selection frameworks for pervasive environment and its analysis in health care and social network services, Ph.D. Thesis, Department of Computer Science and Technology, Karunya University, 2012

424. Laura Cruz, Eduardo R. Fernandez, Claudia G. Gomez and Gilberto Rivera, Multicriteria optimization of interdependent project portfolios with ‘a priori’ incorporation of decision maker preferences, Eureka-2013. Fourth International Workshop Proceedings, Published by Atlantis Press, 169-178.

425. Laura Cruz-Reyes, Eduardo Fernandez, Rafael Olmedo, Patricia Sanchez, Jorge Navarro, Preference Incorporation into Evolutionary Multiobjective Optimization using Preference Information Implicit in a Set of Assignment Examples, Eureka-2013. Fourth International Workshop Proceedings, Published by Atlantis Press, 179-187

The paper “Evolution of the Population of a Genetic Algorithm using Particle Swarm Optimization. Application to Clustering Analysis, Operational Research, An International Journal, 9, 105-120, 2009” is cited by:

426. Zidan Shan, A Self-Adapting Improvement Particles Swarm Optimization Algorithm and Application in Multi-Criteria Group Decision-making, 2011 International Conference on Electronic & Mechanical Engineering and Information Technology, 12-14 August 2011 978-l-61284-088-8/ll/$26.00 ©2011 IEEE, 670-673.


The paper “Intelligent and Nature Inspired Optimization Methods in Medicine: The Pap-Smear Cell Classification Problem”, Expert Systems. The Journal of Knowledge Engineering, 26, 5, 433-457, 2009” is cited by:

427. Satchidananda Dehuri, Rahul Roy, Sung-Bae Cho, Ashish Ghosh, An

Improved Swarm Optimized Functional Link Artificial Neural Network (ISO-FLANN) for Classification, The Journal of Systems & Software (2012), 85, 6, 1333-1345.

428. Emilio Corchado, Javier Sedano, Leticia Curiel and Jose R. Villar, Optimizing the operating conditions in a high precision industrial process using soft computing techniques, Expert Systems. The Journal of Knowledge Engineering, 29 (3) , pp. 276-299, 2012

The paper “Multiple Phase Neighborhood Search GRASP based on Lagrangean Relaxation, Random Backtracking Lin-Kernighan and Path Relinking for the Traveling Salesman Problem”, Journal of Combinatorial Optimization, 17, 134-156, 2009” is cited by:

429. Wenjun Wang, Improved Genetic Algorithm for Vehicle Routing Problem with Time Windows, 2010 International Conference on Intelligent Computing and Cognitive Informatics

430. Yun Yao Li, Chang Shi Liu, An Effective Genetic Algorithm for the Vehicle Routing Problem with Multiple Depots, Advanced Materials Research (Volumes 204 - 210), 283-287, DOI: 10.4028/www.scientific.net/AMR.204-210.283, February 2011


432. Paola Festa and Mauricio G.C. Resende, Hybridizations of GRASP with Path-Relinking, E.-G. Talbi (Ed.): Hybrid Metaheuristics, SCI 434, pp. 135–155, Springer-Verlag Berlin Heidelberg 2013

433. Luo, J., Hu, Y., A new GRASP and path relinking for single machine scheduling with sequence dependent setups, IEEE International Conference on Control and Automation, ICCA , art. no. 6565014 , pp. 490-495 , 2013

434. Misevičius, A., Blažinskas, A., Lenkevičius, A., Modified local search heuristics for the symmetric traveling salesman problem, Information Technology and Control 42 (3) , pp. 217-230, 2013

The paper “A Stochastic Nature Inspired Metaheuristic for Clustering Analysis, International Journal of Business Intelligence and Data Mining, 3, 1, 30-44, 2008” ” is cited by:

435. J.Arunadevi, Dr.V.Rajamani, Optimized routing in Mobile Ad Hoc Networks using Evolutionary Location Intelligence, Second International Conference on Computing, Communication and Networking Technologies, Karur, Tamilandu, India, 29-31 July 2010.

436. J.Arunadevi, Dr.V.Rajamani, Optimized routing in Mobile Ad Hoc Networks using Evolutionary Location Intelligence, IJCA Special Issue on Mobile Ad Hoc Networks, 2010, 120-123.


437. Ahmad, Waseem, Narayanan, Ajit (2010) Humoral-mediated clustering, IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), DΟΙ: 10.1109/BICTA.2010.5645279 Publication Year: 2010 , Page(s): 1471 - 1481

438. Waseem Ahmad, Ajit Narayanan, Humoral Artificial Immune System (HAIS) For Supervised Learning, 2010 Second World Congress on Nature and Biologically Inspired Computing Dec. 15-17, 2010 in Kitakyushu, Fukuoka, Japan

439. Waseem Ahmad, Ajit Narayanan, Humoral Outlier Detection using Humoral-mediated Clustering (HAIS) 2010 Second World Congress on Nature and Biologically Inspired Computing Dec. 15-17, 2010 in Kitakyushu, Fukuoka, Japan

440. Waseem Ahmad and Ajit Narayanan, Population-Based Artificial Immune System Clustering Algorithm, P. Liò, G. Nicosia, and T. Stibor (Eds.): ICARIS 2011, LNCS 6825, pp. 348–360, 2011. © Springer-Verlag Berlin Heidelberg 2011

441. Waseem Ahmad and Ajit Narayanan, Principles and Methods of Artificial Immune System Vaccination of Learning Systems, P. Liò, G. Nicosia, and T. Stibor (Eds.): ICARIS 2011, LNCS 6825, pp. 268–281, 2011. © Springer-Verlag Berlin Heidelberg 2011

442. Waseem Ahmad and Ajit Narayanan, Humoral Artificial Immune System (HAIS) for supervised learning, International Journal of Computational Intelligence and Applications 11 (1) , art. no. 1250004, 2012

443. Waseem Ahmad and Ajit Narayanan, Outlier detection using humoral-mediated clustering (HAIS), International Journal of Computational Intelligence and Applications 11 (1) , art. no. 1250003, 2012

444. Binoy B. Nair, V.P. Mohandas, N.R. Sakthivel, Predicting stock market trends using hybrid ant–colony–based data mining algorithms: an empirical validation on the Bombay Stock Exchange, International Journal of Business Intelligence and Data Mining, Volume 6, Number 4/2011, 362-381

The paper “A Particle Swarm Optimization Algorithm with Path Relinking for the Location Routing Problem, Journal of Mathematical Modelling and Algorithms, 7, 1, 59-78, 2008” is cited by:

445. Vincent Gardeux, Optimisation par Essaim Particulaire, Memoire Adaptative, Reserche Tabu, Thesis, Paris, 2008

446. Dalila Benedita Machado Martins Fontes, António Gaspar Lopes da Cunha, Carlos Manuel Milheiro de Oliveira Pinto Soares, Fernando Arménio da Costa Castro e Fontes, Jorge Miguel Silva Valente, Maria do Rosário Mota de Oliveira Alves Moreira, Rui Alberto Ferreira Santos Alves, FCT Project PTDC/EGE-GES/099741/2008, Evolutionary algorithms for Decision Problems in Management Science.

447. Shih-Wei Lin, Vincent F. Yu, Wenyih Lee, Ching-Jung Tig, Solving the Location Routing Problem Based on a Simulated Annealing Heuristic, POMS 20th Annual Conference Orlando, Florida U.S.A. May 1 to May 4, 2009

448. Vincent F. Yu, Shih-Wei Lin, Wenyih Lee, Ching-Jung Tig, A Simulated Annealing Heuristic for the Capacitated Location Routing Problem, Computers and Industrial Engineering, (2010), 58, 2, 288-299.


449. Frank Plastria, Comments on: Routing problems with loading constraints, Top (2010) 18: 34–35, DOI 10.1007/s11750-010-0142-z

450. Matheus Rosendo, and Aurora Pozo, Applying a Discrete Particle Swarm Optimization Algorithm to Combinatorial Problems, 2010 Eleventh Brazilian Symposium on Neural Networks, 2010

451. Rosendo, Matheus; Pozo, Aurora; A hybrid Particle Swarm Optimization algorithm for combinatorial optimization problems 2010 IEEE Congress on Evolutionary Computation (CEC), Digital Object Identifier: 10.1109/CEC.2010.5586178 Publication Year: 2010 , Page(s): 1 – 8

452. Matheus Rosendo, Um Algoritmo de Otimizacao por nuvem de Particulas de problemas combinatorios, Phd thesis, Universida de federal do Parana, Curitiba 2010

453. Aras, Necati; Aksen, Deniz; Tekin, Tugrul; Location and selective routing problem with pricing for the collection of used products. 40th International Conference on Computers and Industrial Engineering (CIE), Publication Year: 2010, Page(s): 1 – 6, DOI: 10.1109/ICCIE.2010.5668217.

454. Karaoglan, I., Altiparmak, F., Kara, I., Dengiz, B., A Branch and Cut Algorithm for the Location-Routing Problem with Simultaneous Pickup and Delivery, European Journal of Operational Research (2011), 211, 318-332

455. Fazel Zarandi, M.H., Hemmati, A., Davari, S., The Multi-depot Capacitated Location-Routing Problem with Fuzzy Travel Times, Expert Systems with Applications (2011), 38, 8, 10075-10084.


457. Marina Yusoff, Junaidah Ariffin, and Azlinah Mohamed, A Multi-valued Discrete Particle Swarm Optimization for the Evacuation Vehicle Routing Problem, Y. Tan et al. (Eds.): ICSI 2011, Part I, LNCS 6728, pp. 182–193, 2011. © Springer-Verlag Berlin Heidelberg 2011

458. Marina Yusoff, Junaidah Ariffin, and Azlinah Mohamed, Discrete Particle Swarm Optimization for Solving a Single to Multiple Destinations in Evacuation Planning, Recent Researches in Computational Techniques, Non-Linear Systems and Control, ISBN: 978-1-61804-011-4, 270-276

459. Rui Jorge Ferreira Soares Borges Lopes, Location-Routing Problems of Semi-Obnoxious Facilities: Approaches and Decision Support, Ph.D. Thesis, Departamento de Economia, Gestão e Engenharia Industrial, Universidade de Aveiro 2011

460. Ali Bozorgi-Amiri, Mohammad Saeid Jabalameli, Mehdi Alinaghian, Mahdi Heydari, A modified particle swarm optimization for disaster relief logistics under uncertain environment, International Journal of Advanced Manufacturing Technology, (2012), 60, 1-4, 357-371.

461. Ismail Karaoglan, Fulya Altiparmak, Imdat Kara and Berna Dengiz, The location-routing problem with simultaneous pick up and delivery: Formulations and a heuristic approach, Omega, (2012), 40, 4, 465-477.

462. Su, S., Yu, S., Ma, Y., Yang, Y., Xu, H., Routing on a spherical surface using hybrid PSO, Communications in Computer and Information Science 237 CCIS, 2011, pp. 43-51, © Springer-Verlag Berlin Heidelberg 2011


463. Nadizadeh, A., Sahraeian, R., Zadeh, A.S., Homayouni, S.M., Using greedy clustering method to solve capacitated location-routing problem, African Journal of Business Management 5 (21), pp. 8470-8477, 2011

464. Mohammad Mahdi Nasiri, A pseudo particle swarm optimization for the RCPSP, International Journal of Advanced Manufacturing Technology, (2013), 65, 909-918, DOI 10.1007/s00170-012-4227-8

465. M.H.F. Zarandi, A. Hemmati, S. Davari, I. Burhan Turksen, Capacitated location-routing problem with time windows under uncertainty, Knowledge-Based Systems (2013), 37 , pp. 480-489

466. Ching-Jung Ting and Chia-Ho Chen, A Multiple Ant Colony Optimization Algorithm for the Capacitated Location Routing Problem, International Journal Production Economics, 141 (1) , pp. 34-44

467. Lopes, R.B., Ferreira, C., Santos, B.S., Barreto, S., A taxonomical analysis, current methods and objectives on location-routing problems, International Transactions in Operational Research 20 (6) , pp. 795-822, 2013

468. Mohammadi, M., Razmi, J., Tavakkoli-Moghaddam, R., Multi-objective invasive weed optimization for stochastic green hub location routing problem with simultaneous pick-ups and deliveries, Economic Computation and Economic Cybernetics Studies and Research 47 (3) , pp. 247-266

469. Martínez-Salazar, I.A., Molina, J., Ángel-Bello, F., Gómez, T., Caballero, R. , Solving a bi-objective transportation location routing problem by metaheuristic algorithms, European Journal of Operational Research 234 (1) , pp. 25-36, 2014

470. Sahar Validi, Arijit Bhattacharya & P.J. Byrne Integrated low-carbon distribution system for the demand side of a product distribution supply chain: a DoE-guided MOPSO optimiser-based solution approach, International Journal of Production Research, DOI: 10.1080/00207543.2013.864054, 2013

The paper “A Hybrid Stochastic Genetic GRASP Algorithm for Clustering Analysis, Operational Research, An International Journal, 8, 1, 33-46, 2008” is cited by:

471. Dervis Karaboga and Celal Ozturk, A Novel Clustering Approach: Artificial Bee Colony (ABC) Algorithm, Applied Soft Computing, 2011, 11, 1, 652-657.

472. Maria Cristina Vasconcelos Nascimento, Metaheuristicas para o problema de agrupamento de dados em grafo, Ph.D. Instituto de Ciencias Matematicas e de Computacao – ICMC-USP, 2010, Brazil

473. J. Senthilnath, S.N. Omkar, V. Mani, Clustering using firefly algorithm: Performance study, Swarm and Evolutionary Computation (2011), 1, 3, 164-171.

474. J. Senthilnath, Vipul Das, S.N. Omkar, V. Mani, Clustering using Levy Flight Cuckoo Search, J. C. Bansal et al. (eds.), Proceedings of Seventh International Conference on Bio-Inspired, Computing: Theories and Applications (BIC-TA 2012), Advances in Intelligent Systems and Computing 202, DOI: 10.1007/978-81-322-1041-2 Σ Springer India 2013, 65-75

475. Hoseinkhani, F. , Parcham, E. , Pournazary, M. , Borzue, N., Speech Recognition by Classifying Speech Signals Based on the Fire Fly and Fuzzy, Advanced International Conference on Computer Science


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476. Zeev Volkovich, Gerhard–Wilhelm Weber, Renata Avros, Orly Yahalom, On an adjacency cluster merit approach International Journal of Operational Research, Volume 13, Number 3/2012, 239-255

477. José Augusto Fioruci, Franklina M.B. Toledo, Mariá Cristina V. Nascimento Heuristics for minimizing the maximum within-clusters distance, Pesquisa Operacional, vol.32 no.3 Rio de Janeiro Sept./Dec. 2012, http://dx.doi.org/10.1590/S0101-74382012005000023

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478. Ioannis Vlahavas, Aristidis Likas and Georgios Paliouras (2008), Machine

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480. Seyed-Hamid Zahiri and Seyed-Alireza Seyedin, Using Multi-Objective Particle Swarm Optimization for Designing Novel Classifiers, Studies in Computational Intelligence, Swarm Intelligence for Multi-objective Problems in Data Mining, 2009, Vol 242, 65-92.

481. Alejandro Cervantes Rovira, Clasificacion mediante Enjambre de Prototipos, Ph. D. Thesis, Universidad Carlos III de Madrid Departamento de Informatica, 2009

482. Torun, Y. Tohumoglu, G. , A new fuzzy classifier based on simulated annealing and subtractive clustering, 17th IEEE Conference on Signal Processing and Communications Applications, 2009. SIU 2009.

483. dos Santos Coelho, L., Gaussian Quantum-Behaved Particle Swarm Optimization Approaches for Constrained Engineering Design Problems, Expert Systems with Applications (2010), 37, 1676-1683

484. Loris Nanni, Alessandra Lumini, Sheryl Brahnam, Local binary patterns variants as texture descriptors for medical image analysis. Artificial Intelligence in Medicine (2010), 49, 2, 117-125.

485. Jingzheng Ren, Shiyu Tan, Lichun Dong, Siran He, Xiao Ji, Optimization of the Reflux Ratio for a Stage Distillation Column Based on an Improved Particle Swarm Algorithm, Chemical and Process Engineering, 2010, 31, 15–24

486. Noor A. Samsudin and Andrew P. Bradley, Nearest neighbour group based classification, Pattern Recognition, 43, 10, 3458-3467.

487. Torun, Y. Tohumoglu, G., Designing Simulated Annealing and Subtractive clustering based fuzzy classifier, Applied Soft Computing (2011), 11, 2, 2193-2201.

488. Dexuan Zou, Liqun Gao, Jianhua Wu and Steven Li, Novel global harmony search algorithm for unconstrained problems, Neurocomputing, (2010), 73, 16-18, 3308-3318.


489. Nanni, L., Brahnam, S., Lumini, A., Combining different Local Binary Pattern variants to boost performance, Expert Systems with Applications (2011), 38, 5, 6209-6216.

490. Plissiti, M.E., Nikou, C., Charchanti, A., Combining Shape, Texture and Intensity Features for Cell Nuclei Extraction in Pap Smear Images, Pattern Recognition Letters (2011), 32, 6, 838-853.

491. Cheng, Z., Ma, Y., Control chart pattern recognition based on PSO and LS-SVM, Transactions Hong Kong Institution of Engineers, Volume 17, Issue 1, March 2010, Pages 7-10

492. H. Kahramanli, N. Allahverdi, Particle Swarm Optimization with Flexible Swarm for Solving Constrained Optimization Problems, 6th International Advanced Technologies Symposium (IATS’11), 16-18 May 2011, Elazığ, Turkey

493. Ehsan Valian, Shahram Mohanna and Saeed Tavakoli, IMPROVED CUCKOO SEARCH ALGORITHM FOR FEEDFORWARD NEURAL NETWORK TRAINING, International Journal of Artificial Intelligence & Applications (IJAIA), Vol.2, No.3, July 2011, 36-43

494. Loris Nanni, Sheryl Brahnam, Alessandra Lumini, A simple method for improving local binary patterns by considering non-uniform patterns, Pattern Recognition, http://dx.doi.org/10.1016/j.patcog.2012.04.007

495. Miloslav Hajek and Yashik Singh, Medical AI–HIV/AIDS Treatment Management System, Beyond AI: Interdisciplinary Aspects of Artificial Intelligence, Jan Romportl, Pavel Ircing, Eva Zackova, Radek Schuster, Michal Polak, Proceedings of The International Conference Beyond AI 2011 Pilsen, Czech Republic, December 8–9, 2011

496. Marina E. Plissiti and Christophoros Nikou, Cervical Cell Classification Based Exclusively on Nucleus Features, A. Campilho and M. Kamel (Eds.): ICIAR 2012, Part II, LNCS 7325, pp. 483–490, 2012. Springer-Verlag Berlin Heidelberg 2012

497. Marina E. Plissiti and Christophoros Nikou, A Review of Automated Techniques for Cervical Cell Image Analysis and Classification, D. Iacoviello and U. Andreaus (eds.), Biomedical Imaging and Computational Modeling in Biomechanics, Lecture Notes in Computational Vision and Biomechanics 4, DOI 10.1007/978-94-007-4270-3_1, Springer Science+Business Media Dordrecht 2013

498. Rodríguez-González, A., Torres-Niño, J., Hernández-Chan, G., Jiménez-Domingo, E., Alvarez-Rodríguez, J.M., Using Agents to Parallelize a Medical Reasoning System Based on Ontologies and Description Logics as an Application Case, Expert Systems with Applications (2012), 39 (18) , pp. 13085-13092

499. C. Bergmeir, M.G. Silvente, J.M. Benítez., Segmentation of cervical cell nuclei in high-resolution microscopic images: A new algorithm and a web-based software framework, Comput. Methods Programs Biomed. (2012), 107 (3) , pp. 497-512

500. Leitao, P., Barbosa, J., Trentesaux, D, Bio-inspired multi-agent systems for reconfigurable manufacturing systems. Engineering Applications of Artificial Intelligence (2011), 25 (5) , pp. 934-944

501. Zhao, J., Han, C., Han, D., Wei, B. , A multi-population univariate marginal distribution algorithm for feature selection, 2012 Spring World Congress on Engineering and Technology, SCET 2012 - Proceedings , art. no. 6342084


502. Plissiti, M.E., Nikou, C., Overlapping cell nuclei segmentation using a spatially adaptive active physical model, IEEE Transactions on Image Processing 21 (11) , art. no. 6226464 , pp. 4568-4580, 2012

503. Zhao, J., Han, C., Wei, B., Zhao, Q., Xiao, P., Zhang, K. , Feature selection based on particle swarm optimal with multiple evolutionary strategies, 15th International Conference on Information Fusion, FUSION 2012 , art. no. 6289906 , pp. 963-968

504. Ruoping, L., Xiangyong, K., Liqun, G., Dexuan, Z., Practicably optimal point and its solution in deterministic system, Applied Mechanics and Materials 190-191 , pp. 143-146, 2012


506. H. Kahramanli, N. Allahverdi, Particle Swarm Optimization with Flexible Swarm for Solving Constrained Optimization Problems, International Journal of Intelligent Systems and Applications in Engineering, 1, 1, 2013

507. Ahmed Ahmed El-Sawy, Elsayed M. Zaki, and R. M. Rizk-Allah, Hybridizing Ant colony Optimization With Firefly Algorithm For Unconstrained Optimization Problems, The Online Journal on Computer Science and Information Technology (OJCSIT), Vol. (3), No. (3), 185-193

508. Cervante, L., Xue, B., Shang, L., Zhang, M., Binary particle swarm optimisation and rough set theory for dimension reduction in classification, 2013 IEEE Congress on Evolutionary Computation, CEC 2013, art. no. 6557860 , pp. 2428-2435

509. Rizk-Allah, R.M., Zaki, E.M., El-Sawy, A.A., Hybridizing ant colony optimization with firefly algorithm for unconstrained optimization problems, Applied Mathematics and Computation 224 , pp. 473-483, 2013

510. Bing Xue, Mengjie Zhang, Will N. Browne, Particle Swarm Optimisation for Feature Selection in Classification: Novel Initialisation and Updating Mechanisms, Applied Soft Computing Journal (2013), http://dx.doi.org/10.1016/j.asoc.2013.09.018

The paper “Expanding Neighborhood Search - GRASP for the Probabilistic Traveling Salesman Problem, Optimization Letters, 2, 3, 351-361, 2008” is cited by:

511. Christian Agerbeck and Mikael Hansen, A Multi-Agent Approach for Solving NP-Complete Problems, MSc Thesis, Technical University of Denmark, Informatics and Mathematical Modeling, 2008

512. P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo. Estimation-based metaheuristics for the probabilistic traveling salesman problem. Technical Report IridiaTr2009-017r001, 2009

513. P. Balaprakash, M. Birattari, T. Stützle, and M. Dorigo. Estimation-based metaheuristics for the probabilistic traveling salesman problem. Computers and Operations Research, 2010, 37, 11, 1939-1951.



515. Prasanna BALAPRAKASH, Estimation-based Metaheuristics for Stochastic Combinatorial Optimization: Case Studies in Stochastic Routing Problems, Ph.D. Thesis, University of Bruxelles, 2010.

516. Guillermo Cabrera G., Silvana Roncagliolo D., Juan P. Riquelme, Claudio Cubillos and Ricardo Soto, A Hybrid Particle Swarm Optimization - Simulated Annealing Algorithm for the Probabilistic Travelling Salesman Problem, SIC: vol. 21, issue 1/2012, pp. 49-58

517. Ulrike Ritzinger and Jakob Puchinger, Hybrid Metaheuristics for Dynamic and Stochastic Vehicle Routing, E.-G. Talbi (Ed.): Hybrid Metaheuristics, SCI 434, pp. 77–95, Springer-Verlag Berlin Heidelberg 2013

518. Tongquan Zhang, Ying Yin, Jianping Li, Shortest path problems with left-side time windows, Optimization Letters (2012), 6(8), 1935-1943.


520. Weiqi Li, Constructing a Solution Attractor for the Probabilistic Traveling Salesman Problem through Simulation, M. Emmerich et al. (eds.), EVOLVE - A Bridge between Probability, Set Oriented Numerics, 1 and Evolutionary Computation IV, Advances in Intelligent Systems and Computing 227, DOI: 10.1007/978-3-319-01128-8_1, c_ Springer International Publishing Switzerland 2013

521. Kevin M. Curtin, Gabriela Voicu, Matthew T. Rice, Anthony Stefanidis, A Comparative Analysis of Traveling Salesman Solutions from Geographic Information Systems, Transactions in GIS, 9 JUN 2013, DOI: 10.1111/tgis.12045, © 2013 John Wiley & Sons Ltd

The paper “Application of Ant Colony Optimization to Credit Risk Assessment, New Mathematics and Natural Computation, 4, 1, 107-122, 2008” is cited by:

522. R. Chiong, F. Neri and R. I. McKay, “Nature that breeds solutions” in Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science and Engineering, R. Chiong (Ed.), Chapter I, Hershey, PA: Information Science Reference, July 2009. ISBN 978-1-60566-705-8.

523. Cheng-An Li, Jing Xu, and He-Yong Wang, “Application of Particle Swarm Optimization to Credit Risk Assessment”, Proceedings of the 2009 IEEE International Conference on Information and Automation, June 22-25 2009, Zhuhai/Macau, China.

524. Leitao, P., Barbosa, J., Trentesaux, D, Bio-inspired multi-agent systems for reconfigurable manufacturing systems. Engineering Applications of Artificial Intelligence (2011), 25(5), 933-944

525. Cheng-An Li, Credit Scoring Analysis Using B-Cell Algorithm and K-Nearest Neighbor Classifiers, Y. Tan, Y. Shi, and H. Mo (Eds.): ICSI 2013, Part II, LNCS 7929, pp. 191–199, 2013. © Springer-Verlag Berlin Heidelberg 2013

Τhe paper “A Comparison of Several Nearest Neighbor Classifier Metrics Using Tabu Search Algorithm for the Feature Selection Problem”, Optimization Letters, 2, 3, 299-308, 2008” is cited by:


526. P. Yelland, R. Stratulate. Predictive analytics for bloodbuild conversion. Sun Microsystems Laboratories Technical Report.

527. Lu Baiquan, Gao Gaiqin, Lu Zeyu, The block diagram method for designing the particle swarm optimization algorithm, Journal of Global Optimization (2012), 52, 4, 689-710.

528. Martin Macas, Opinion Formation Inspired Search Strategies for Feature Selection, Ph.D. Thesis, Department of Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague

529. Pishdadian, F. ; Nelson, J.K., On the transcription of monophonic melodies in an instance-based pitch classification scenario, 2013 IEEE Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE), 11-14 Aug. 2013, 222 – 227, DOI: 10.1109/DSP-SPE.2013.6642594

The paper “Nature Inspired Intelligence in Medicine: Ant Colony Optimization for Pap-Smear Diagnosis, International Journal on Artificial Intelligence Tools (IJAIT), 17, 2, 279 – 301, 2008” is cited by:

530. J. Jantzen et al. Analysis of Pap-Smear Image Data, The Pap Smear Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 5 - 13, November 29- December 1, 2006, Puerto de la Cruz, Tenerife, Spain.

531. C. Duanggate, B. Uyyanonvara, and T. Koanantakul, A Review of Image Analysis and Pattern Classification Techniques for Automatic Pap Smear Screening Process, The 2008 International Conference on Embedded Systems and Intelligent Technology February 27-29, 2008, Grand Mercure Fortune Hotel, Bangkok, Thailand.

532. Ioannis Vlahavas, Aristidis Likas and Georgios Paliouras (2008), Machine Learning and Neural Networks, Special Edition of EETN.

533. R. Chiong, F. Neri and R. I. McKay, “Nature that breeds solutions” in Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science and Engineering, R. Chiong (Ed.), Chapter I, Hershey, PA: Information Science Reference, July 2009. ISBN 978-1-60566-705-8.

534. Chen, L.-S., Applying swarm intelligence to a library system, Library Collections, Acquisitions, & Technical Services (2010), 34, 1, 1-10.

535. Victor-Emil Neagoe, Catalina-Elena Neghina, and Mihai Neghina, Ant Colony Optimization for Logistic Regression and Its Application to Wine Quality Assessment, Mathematical Models for Engineering Science, ISBN: 978-960-474-252-3, 195-200

536. Chen, L.S., Applying Swarm Intelligence for Campus Safety Management, Journal of Global Business Management, 4, 2, October 2008.


538. VICTOR-EMIL NEAGOE, ADRIAN-DUMITRU CIOTEC, CATALINA-ELENA NEGHINA, and GABRIEL-EDUARD STRUGARU, New Computational Intelligence-Based Techniques for Training Sample


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The paper “A Bilevel Genetic Algorithm for a Real Life Location Routing Problem, International Journal of Logistics: Research and Applications, 11, 1, 49-65, 2008” is cited by:

539. International Logistics Abstracts, February 2008, Vol. 4, No 1, Abstracts 08/1 – 08/145, Cranfield University, School of Management

540. Rui Borges Lopes, Carlos Ferreira, Beatriz Sousa Santos, Sérgio Barreto, A taxonomical analysis, current methods and objectives on location-routing problems XVII International Meeting on Locational Analysis, Elche, September 17-19, 2008

541. Seyed Reza Sajjadi, Integrated Supply Chain: Multi Products Location Routing Problem Integrated with Inventory under Stochastic Demand, Ph.D. Thesis, Department of Industrial and Manufacturing Engineering, Wichita State University, 2008

542. Rasheed Sahraeian and Ali Nadizadeh, Using Greedy Clustering Method for Solving Capacitated Location Routing Problem, 3rd International Conference on Industrial Engineering and Industrial Management, 2nd – 4th September 2009, Barcelona, Spain.

543. Herminia I. Calvete, Carmen Galé and María-José Oliveros, Bilevel model for production-distribution planning solved by using ant colony optimization, Computers & Operations Research, (2011), 38, 1, 320-327.

544. Moacir Godinho Filho and Rogerio de Avila Ribeiro Junqueira, Chinese Postman Problem (CPP): solution methods and computational time, International Journal of Logistics Systems and Management, Volume 7, Number 3, 2010, 324 - 344

545. M. S. Jabal-Ameli, M. B. Aryanezhad and N. Ghaffari-Nasab, A variable neighborhood descent based heuristic to solve the capacitated location-routing Problem, International Journal of Industrial Engineering Computations (2011), 2, 141-154, doi: 10.5267/j.ijiec.2010.06.003.

546. Aras, Necati; Aksen, Deniz; Tekin, Tugrul; Location and selective routing problem with pricing for the collection of used products. 40th International Conference on Computers and Industrial Engineering (CIE), Publication Year: 2010, Page(s): 1 – 6, DOI: 10.1109/ICCIE.2010.5668217.

547. Rui Jorge Ferreira Soares Borges Lopes, Location-Routing Problems of Semi-Obnoxious Facilities: Approaches and Decision Support, Ph.D. Thesis, Departamento de Economia, Gestão e Engenharia Industrial, Universidade de Aveiro 2011

548. Nadizadeh, A., Sahraeian, R., Zadeh, A.S., Homayouni, S.M., Using greedy clustering method to solve capacitated location-routing problem, African Journal of Business Management 5 (21), pp. 8470-8477, 2011

549. Niu, H., Determination of the Skip-Stop Scheduling for a Congested Transit Line by Bilevel Genetic Algorithm, International Journal of Computational Intelligence Systems 4 (6), pp. 1158-1167, 2011

550. Hamidi, M., Farahmand, K., Sajjadi, S.R., Nygard, K.E. , A hybrid GRASP-tabu search metaheuristic for a four-layer location-routing problem,


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551. Mehrjerdi, Y.Z., Nadizadeh, A., Using Greedy Clustering Method to Solve Capacitated Location-Routing Problem with Fuzzy Demands, European Journal of Operational Research (2013), 229, 75-84

552. Ching-Jung Ting and Yu-Ju Yang, Solving the Bi-level Programming for Supply Chain Distribution Network with Threshold Accepting, The 2012 International Symposium on Semiconductor Manufacturing Intelligence

553. N. Ghaffari-Nasab, S. Ghazanfar Ahari, M. Ghazanfari, A hybrid simulated annealing based heuristic for solving the location-routing problem with fuzzy demands, Scientia Iranica Transactions E: Industrial Engineering, 2013, 20, 919-930

554. Xuan Qiu & George Q. Huang (2013): Storage pricing, replenishment, and delivery schedules in a supply hub in industrial park: A bilevel programming approach, International Journal of Production Research, 51, 6950-6971.

555. Ghaffari-Nasab, N., Jabalameli, M.S., Saboury, A., Multi-objective capacitated location-routing problem: Modelling and a simulated annealing heuristic, International Journal of Services and Operations Management 15 (2) , pp. 140-156

556. Jia, L., Wang, Y., Fan, L., Multiobjective bilevel optimization for production-distribution planning problems using hybrid genetic algorithm, Integrated Computer-Aided Engineering 21 (1) , pp. 77-90, 2014

557. Hamidi, M., Farahmand, K., Reza Sajjadi, S., Nygard, K.E., A heuristic algorithm for a multi-product four-layer capacitated location-routing problem, International Journal of Industrial Engineering Computations 5 (1) , pp. 87-100, 2013

558. Lopes, R.B., Ferreira, C., Santos, B.S., Barreto, S., A taxonomical analysis, current methods and objectives on location-routing problems, International Transactions in Operational Research 20 (6) , pp. 795-822, 2013

559. Zare Mehrjerdi, Y., Nadizadeh, A., Using greedy clustering method to solve capacitated location-routing problem with fuzzy demands, European Journal of Operational Research 229 (1) , pp. 75-84, 2013

560. Nader Ghaffari-Nasab & Mohamad Saeed Jabalameli & Mir Bahador Aryanezhad & Ahmad Makui, Modeling and solving the bi-objective capacitated location-routing problem with probabilistic travel times, Int J Adv Manuf Technol (2013) 67:2007–2019 DOI 10.1007/s00170-012-4627-9

The paper “Optimization of Nearest Neighbor Classifiers via Metaheuristic Algorithms for Credit Risk Assessment, Journal of Global Optimization, 42, 279-293, 2008” is cited by:

561. Yorgos Goletsis, Themis Exarchos and Christos Katsis, Can Ants Predict Bankruptcy? A Comparison of Ant Colony Systems to other state-of-the-art Computational Methods, New Mathematics and Natural Computation, 5 (3), 2009, 571-588.

562. Vytautas Boguslauskas and Ricardas Milleris, Estimation of Credit Risk by Artificial Neural Networks Model, Economics of Engineering Decisions, 4, 2009, 7-14


563. Vasilis Vassiliadis and Georgios Dounias, Nature Inspired Intelligence: A Review of Selected Methods, International Journal on Artificial Intelligence Tools, 18(4), 487-516, 2009

564. Ricardas Milleris, Estimation of loan applicants default probability applying discriminant analysis and simple bayesian classifier, Economics and Management, 15, 1078-1084, 2010

565. Xiaoguang Deng, Xianyi Zeng, Philippe Vroman, Ludovic Koehl, An intelligent multi-criteria optimization method for quick and market-oriented textile material design, Journal of Global Optimization, 2011, 51 (2), pp. 227-244

566. Zhuo, X., Dai, F., Dynamic quantitative trust assessment model between partner-enterprises of supply chain alliances, ICLEM 2010: Logistics for Sustained Economic Development - Infrastructure, Information, Integration - Proceedings of the 2010 International Conference of Logistics Engineering and Management Volume 387, 2010, p. 4585-4592

567. Abbas Keramati, Niloofar Yousefi, A Proposed Classification of Data Mining Techniques in Credit Scoring, Proceedings of the 2011 International Conference on Industrial Engineering and Operations Management Kuala Lumpur, Malaysia, January 22 – 24, 2011

568. İhsan Kaya, Cengiz Kahraman and Selçuk Çebi, Computational Intelligence Techniques for Risk Management in Decision Making, Intelligent Systems Reference Library, 1, Volume 33, Handbook on Decision Making, Part I, Pages 9-38, Springer, 2012

569. Saeed Mirzamohammadi, Mostafa Mansouri, Application of Regression and Neural Networks for Prediction of the Profit Rise on Assets Log in Tehran Stock Exchange, Journal of Basic and Applied Scientific Research, 3(5), 262-269, 2013, © 2013, TextRoad Publication, ISSN 2090-4304

570. A I Marqués, V García and J S Sánchez, A literature review on the application of evolutionary computing to credit scoring, Journal of the Operational Research Society, 64, 1384-1399, 2013

571. Ram Babu, A.Rama Satish, Improved of K-Nearest Neighbor Techniques in Credit Scoring, International Journal For Development of Computer Science & Technology (Volume - 1, Issue - 2, Feb – March - 2013), ISSN: 2320-7884 (Online)

The paper “Application of a Genetic Algorithm for the Credit Risk Assessment Problem, Foundations of Computing and Decisions Sciences, 32, 2, 139-152, 2007” is cited by:

572. Zhong, Xing, Peng, Yi, Kou, Gang, A dynamic self-adoptive genetic algorithm for personal credit risk assessment, 3rd International Conference on Information Sciences and Interaction Sciences (ICIS), 2010, 711 – 716.

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573. N. Matsatsinis, Towards a decision support system for the ready concrete distribution system: A case of a Greek company, European Journal of Operational Research, 152, 2004, 487-499.


574. D. Naso, M. Surico, B. Turchiano and U. Kaymak, Genetic Algorithms In Supply Chain Scheduling Of Ready mixed Concrete, Erasmus Research Institute Of Management, Report Series Research In Management, ERS-2004-096-LIS, October 2004

575. David Naso and Biagio Turchiano, Multicriteria Meta-Heuristics for AGV Dispatching Control Based on Computational Intelligence, IEEE Transactions On Systems, Man, And Cybernetics-Part B: Cybernetics, vol. 35, no. 2, April 2005, 208-226.

576. D. Naso, M. Surico, “A Multi-Objective Evolutionary Approach to Distributed Supply Network Scheduling”, Proceeding of 16th IFAC World Congress , Prague, Czech Republic, July 4-8, 2005

577. D. Naso, M. Surico, and B. Turchiano, Reactive Scheduling of a Distributed Network for the Supply of Perishable Products, IEEE Transactions on Automation Science and Engineering, vol. 4, no. 3, 407-423, July 2007.

578. D. Naso, M. Surico, and B. Turchiano, Scheduling Production and Distribution of Rapidly Perishable Materials with Hybrid GA’s, Studies in Computational Intelligence, 49, 465-483, 2007.

579. D. Naso, M. Surico, B. Turchiano and U. Kaymak, Genetic algorithms for supply-chain scheduling: A case study in the distribution of ready-mixed concrete, European Journal of Operational Research, 177, 3, 2007, 2069-2099.

580. Jirí Vokrínek, Antonín Komenda and Michal Pechoucek, Agents Towards Vehicle Routing Problems, Proc. of 9th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2010), van der Hoek, Kaminka, Lespérance, Luck and Sen (eds.), May, 10–14, 2010, Toronto, Canada, pp. 773-780

581. Joseph Gallart Suarez, Manuel Tupia Anticona, Two GRASP Metaheuristic for the Capacitated Vehicle Routing Problem Considering Split Delivery and Solving the Three Dimensional Bin Packing Problem, Advances in Information Sciences and Service Sciences Volume 2, Number 2, June 2010

582. Peter Matis · Michal Koháni, Very large street routing problem with mixed transportation mode, Central European Journal of Operations Research, (2011), 19, 3, 359-369.

583. Joseph Gallart Suarez, Manuel Tupia Anticona, Solving the Capacitated Vehicle Routing Problem and the Split Delivery Using GRASP Metaheuristic, M. Bramer (Ed.): IFIP AI 2010, IFIP AICT 331, pp. 243–249, 2010. © IFIP International Federation for Information Processing 2010

584. Juan R. Jaramillo, Albany State University, The Single Green Vehicle Routing Problem, The 2010 Southeastern INFORMS Conference, Thursday, October 7, to Friday, October 8, 2010, South Carolina, USA.

585. Sara Ceschia, Luca Di Gaspero, Andrea Schaerf, Tabu search techniques for the heterogeneous vehicle routing problem with time windows and carrier-dependent costs, Journal of Scheduling, 2011, 14, 6, 601-615.

586. Abel Garcia Najera, Multi-Objective Evolutionary Algorithms for Vehicle Routing Problems, Ph.D. Thesis, School of Computer Science College of Engineering and Physical Sciences, The University of Birmingham, UK, November 2010

587. Sahbi Ben Ismail, François Legras, Gilles Coppin, Synthèse du problème de routage de véhicules, Collection des rapports de recherché de Télécom Bretagne, RR-2011-03-LUSSI, 2011.


588. Philip Kilby, Andrew Verden, Flexible routing combing Constraint Programming, Large Neighbourhood Search, and Feature-based Insertion, Artificial Intelligence and Logistics (AILog) Workshop at IJCAI’11, Barcelona, Spain, 2011.

589. Rita Alexandra Santos Gonçalves de Macedo, , Models and Algorithms for Hard Optimization Problems, Ph.D. Thesis, Universidade do Minho Escola de Engenharia, January 2011, Portugal

590. Sara Ceschia, Local Search Algorithms for Integrated Logistics, Ph.D. Thesis, Dipartimento di Ingegneria Elettrica, Gestionale e Meccanica, Universita degli Studi di Udine, February 28, 2012

591. Ertan Yakıcı · Orhan Karasakal, A min–max vehicle routing problem with split delivery and heterogeneous demand, Optimization Letters, DOI 10.1007/s11590-012-0571-8

592. Andres Pico, and Yong Hui Ronny Tan, Heuristics for Solving Problem of Evacuating Non-Ambulatory People in a Short-Notice Disaster, MBA Professional Report, Naval Postgraduate School Monterey, CA 93943-5000, December 2012

593. Lin, C., Choy, K.L., Ho, G.T.S., Chung, S.H., Lam, H.Y., Survey of Green Vehicle Routing Problem: Past and future trends, Expert Systems with Applications 41 (4 PART 1) , pp. 1118-1138, 2014

594. Jeffrey A. McDougall, Luis Daniel Otero, Juan Avendano, and Abdel Ejnioui, System Analysis Methods in Emergency Systems Vehicle Routing Problem, 2013 IEEE International Systems Conference (SysCon), 15-18 April 2013, pp. 8-18, DOI: 10.1109/SysCon.2013.6549978

595. E.K. Burke and G. Kendall (eds.), Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques, DOI 10.1007/978-1-4614-6940-7_1, © Springer Science+Business Media New York 2014

The paper “A New Bilevel Formulation for the Vehicle Routing Problem and a Solution Method Using a Genetic Algorithm, Journal of Global Optimization, 38, 555-580, 2007” is cited by:

596. Irene Okhrin and Knut Richter, The Vehicle Routing Problem with Real Time

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597. Irene Okhrin and Knut Richter, The Real – Time Vehicle Routing Problem, Operations Research Proceedings, 141-146, 2008, DOI: 10.1007/978-3-540-77903-2, Springer Berlin Heidelberg.

598. Christian Agerbeck and Mikael Hansen, A Multi-Agent Approach for Solving NP-Complete Problems, MSc Thesis, Technical University of Denmark, Informatics and Mathematical Modeling, 2008

599. Irene Okhrin and Knut Richter, The Vehicle Routing Problem with Real Time Travel Times, Techniques and Applications for Mobile Commerce, C. Branki et al. (Eds), Frontiers in Artificial Intelligence and Applications, Vol. 169, 32-45.

600. Ping Ji, Hongtao Wu, Yongzhong Wu, Quadratic Programming for the Vehicle Routing Problem, The 7th International Symposium on Operations Research and Its Applications (ISORA’08) Lijiang, China, October 31–Novemver 3, 2008, Copyright © 2008 ORSC & APORC, pp. 82–90


601. Irene Okhrin and Knut Richter, Vehicle Routing Problem with Real-time Travel Times, International Journal of Vehicle Information and Communication Systems, Vol. 2, Number 1-2, 59-77, 2009.

602. Matthias Koppe, Maurice Queyranne, and Christopher Thomas Ryan, A Parametric Integer Programming Algorithm For Bilevel Mixed Integer Programs, Optimization and Control, arxiv 0907.1298, 2009.

603. Armin Lüer, Magdalena Benavente, Jaime Bustos and Bárbara Venegas, El problema de rutas de vehículos: Extensiones y métodos de resolución, estado del arte, WORKSHOP INTERNACIONAL EIG2009, Departamento de Ingeniería de Sistemas Universidad de La Frontera – Chile, Diciembre 3 y 4, 2009

604. Liu Fanghua Zhao Jianmin Xu Huiying , Research on Optimizing Physical Distribution Routing Based on Mergers & Acquisitions Algorithm, COMPUTER AND DIGITAL ENGINEERING, 2009, 37, 8.

605. Matthias Koppe, Maurice Queyranne, and Christopher Thomas Ryan, Parametric Integer Programming Algorithm For Bilevel Mixed Integer Programs, Journal of Optimization Theory and Applications, 2010, 146, 1, 137-150.

606. Yong Mao, Yanfang Deng, Solving Vehicle Routing Problem with Time Windows with Hybrid Evolutionary Algorithm, 2010 Second WRI Global Congress on Intelligent Systems, 978-0-7695-4304-8/10, IEEE, DOI 10.1109/GCIS.2010.171, 335-339


608. Berit Johannes, New Classes of Complete Problems for the Second Level of the Polynomial Hierarchy, Ph.D. Thesis, Von der Fakult¨at II – Mathematik und Naturwissenschaften der Technischen Universit¨at Berlin zur Erlangung des akademischen Grades, 2011

609. J Pacheco, A Alvarez, I Garcıa and F Angel-Bello, Optimizing vehicle routes in a bakery company allowing flexibility in delivery dates, Journal of the Operational Research Society (2012), 63, 5, 569-581.

610. Bortfeldt A. A hybrid algorithm for the capacitated vehicle routing problem with three-dimensional loading constraints. Computers and Operations Research (2012), 39, 9, 2248-2257.


612. Zou, G., Jia, L., Zou, J. , Random-weight based genetic algorithm for multiobjective bilevel mixed linear integer programming, Proceedings - International Conference on Natural Computation, art. no. 6234677 , pp. 693-697, 2012

613. Andreas Bortfeldt and Jorg Homberger, Packing First, Routing Second – a Heuristic for the Vehicle Routing and Loading Problem, Computers & Operations Research, 40 (3) , pp. 873-885


614. Knut Richter and Irena Okhrin, Progress in Solving Vehicle Routing Problems, DR-LOG 08, 21 – 25 May 2008, Moskau

615. Vidal, T., Crainic, T.G., Gendreau, M., Prins, C., Heuristics for multi-attribute vehicle routing problems: A survey and synthesis, European Journal of Operational Research (2013), 231, 1-21


617. Georgios K.D. Saharidis, Antonio J. Conejo, and George Kozanidis, Exact Solution Methodologies for Linear and (Mixed) Integer Bilevel Programming, E.-G. Talbi (Ed.): Metaheuristics for Bi-level Optimization, SCI 482, pp. 221–245. DOI: 10.1007/978-3-642-37838-6_8, © Springer-Verlag Berlin Heidelberg 2013

618. Pacheco, J., Caballero, R., Laguna, M., Molina, J., Bi-objective bus routing: An application to school buses in rural areas, Transportation Science 47 (3) , pp. 397-411, 2013


620. Jose Ruben Gomez, Joaquın Pacheco, Hernan Gonzalo-Orden, A Tabu Search Method for a Bi-Objective Urban Waste Collection Problem, Computer-Aided Civil and Infrastructure Engineering (2013), 1-18.

The paper “A Hybrid Genetic - GRASP Algorithm Using Lagrangean Relaxation for the Traveling Salesman Problem, Journal of Combinatorial Optimization, 10, 311-326, 2005” is cited by:

621. G. Voicu, A Comparative Analysis of Traveling Salesman Heuristic - Implementations in GIS, GIS Masters Project, University of Texas, Dallas, 2006

622. Aybars Ugur, Path Planning On A Cuboid Using Genetic Algorithms, Information Sciences, 178, 16, 3275-3287, 2008.

623. Peter Merz and Jutta Huhse, An Iterated Local Search Approach for Finding Provably Good Solutions for Very Large TSP Instances, G. Rudolph et al. (Eds.): PPSN X, LNCS 5199, pp. 929–939, 2008, Springer-Verlag Berlin Heidelberg.

624. Barış Özkan, Utku Cevre, Aybars Uğur, Melez Bir Eniyileme Yöntemi İle Rota Planlama, Akademik Bilişim 2008 30 October - 1 November 2008 Çanakkale Onsekiz Mart Üniversitesi, Çanakkale (Dardanelia), Turkey

625. Aybars Uğur, Serdar Korukoğlu, Ali Ηalıskan, Muhammed Cinsdikici, Ali Alp, Genetic Algorithm Based Solution For Tsp On A Sphere, Mathematical and Computational Applications, Vol. 14, No. 3, pp. 219-228, 2009.

626. Jinhong Zhong, Ling Huang, "Application Progress of Genetic Algorithm for Economic Lot Sizing Problem," pp.2858-2861, 2009 First IEEE International Conference on Information Science and Engineering, 2009

627. Reza Zamani and Sim Kim Lau, Embedding learning capability in Lagrangean relaxation: An application to the travelling salesman problem, European Journal of Operational Research, 2010, 201, 82-88.


628. Alfonsas Misevičius, Andrius Blažinskas, Jonas Blonskis, Vytautas Bukšnaitis, ON THE GENETIC ALGORITHMS FOR THE TRAVELING SALESMAN PROBLEM: NEGATIVE AND POSITIVE ASPECTS, INFORMACIJOS MOKSLAI. 2009, 50, 173-180.

629. Victoria Horan and Michael Gudaitis, INVESTIGATION OF ZERO KNOWLEDGE PROOF APPROACHES BASED ON GRAPH THEORY, AFRL-RI-RS-TR-2011-041, FEBRUARY 2011, FINAL TECHNICAL REPORT, Air Force Research Laboratory/RIGD, NY, USA

630. Melo Freire, Lívio Antônio, Heurística e Limites Duais para o Problema de Dimensionamento de Lotes e Sequenciamento com Tempos de Preparação Dependentes da Sequência, Belo Horizonte, 2011, MSc Thesis, Universidade Federal de Minas Gerais, May 2011

631. Jian Sun, Yuting Wang, Junqing Li, Kaizhou Gao, Hybrid Algorithm Based on Chemical Reaction Optimization and Lin-Kernighan Local Search for the Traveling Salesman Problem, 2011 Seventh International Conference on Natural Computation, 978-1-4244-9953-3/11/$26.00 ©2011 IEEE, 1518-1521.

632. Peter Merz, Memetic Algorithms and Fitness Landscapes in Combinatorial Optimization F. Neri et al. (Eds.): Handbook of Memetic Algorithms, Studies in Computational Intelligence 379, pp. 95–119, Springer-Verlag Berlin Heidelberg 2012

633. S.H. Nasseri, M.H. Khaviari, Solving TSP by Considering Processing Time: Meta-Heuristics and Fuzzy Approaches, Fuzzy Information and Engineering (2011) 4: 359-378, DOI 10.1007/s12543-011-0091-8, Springer

634. Wang Chun-gang and Zhao Hui, Vehicle Control and Dispatching Model Based on MAS, Proceedings of the 2011, International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE2011) November 19–20, 2011, Melbourne, Australia, Advances in Intelligent and Soft Computing, 2012, Volume 111/2012, 497-503, DOI: 10.1007/978-3-642-25188-7_62


636. Liu, C., Li, L., Huang, Y. , Optimization research on distribution of emergency supplies and minimize save points based on grey correlation analysis, Advances in Information Sciences and Service Sciences 4 (15) , pp. 50-56, 2012

637. Sauerland Volkmar, Algorithm Engineering for some Complex Practise Problem: Exact Algorithms, Heuristics and Hybrid Evolutionary Algorithms, Kiel, Christian-Albrechts-Universität, Diss., 2012

638. R.SIVARAJ, T.RAVICHANDRAN, R.DEVI PRIYA, Solving Travelling Salesman Problem using Clustering Genetic Algorithm International Journal on Computer Science and Engineering (IJCSE), Vol. 4 No. 07 July 2012, 1310-1317

639. Kevin M. Curtin, Gabriela Voicu, Matthew T. Rice, Anthony Stefanidis, A Comparative Analysis of Traveling Salesman Solutions from Geographic Information Systems, Transactions in GIS, 9 JUN 2013, DOI: 10.1111/tgis.12045, © 2013 John Wiley & Sons Ltd


The paper “Expanding Neighborhood GRASP for the Traveling Salesman Problem, Computational Optimization and Applications, 32, 231-257, 2005” is cited by:

640. M.G.C. Resende and P. Festa, An Updated Bibliography of GRASP available online http://www.optimization-online.org/DBFILE /2003/10/758.pdf

641. M.G.C. Resende and P. Festa, An Annotated Bibliography of GRASP, Technical Report TD-5WYSEW, AT&T Labs Research, Florham Park, NJ 07932, February 2004, submitted in European Journal of Operational Research and available online in http://www.optimization-online.org/DBFILE /2004/03/834.pdf

642. Elizabeth Gouvea Golbarg, Marco Goldbarg and Joa Farias, GRASP with Path Relinking for the TSP, Metaheuristics, Progress in Complex Systems Optimization, Vol. 39, 2007, 137-152, Springer US.

643. Paolo Brandimarte and Giulio Zotteri, Introduction to Distribution Logistics, John Wiley and Sons, 2007

644. Ya-yah Zheng and Weng –xin Zhou, An improved GRASP for Traveling Salesman Problem, Computers Engineering and Science, Vol. 30, No 11, 2008

645. Aybars Uğur, Serdar Korukoğlu, Ali Ηalıskan, Muhammed Cinsdikici, Ali Alp, Genetic Algorithm Based Solution For Tsp On A Sphere, Mathematical and Computational Applications, Vol. 14, No. 3, pp. 219-228, 2009.

646. Waldemar Pereira Mathias Neto and José Roberto Sanches Mantovani, Restauração De Redes De Distribuição De Grande Porte Através De Algoritmo GRASP Dedicado, 41 Symposio Brazileiro de Pesquisa Operacional, Porto Seguro 1-4 September 2009, Brazil

647. Armin Lüer, Magdalena Benavente, Jaime Bustos and Bárbara Venegas, El problema de rutas de vehículos: Extensiones y métodos de resolución, estado del arte, WORKSHOP INTERNACIONAL EIG2009, Departamento de Ingeniería de Sistemas Universidad de La Frontera – Chile, Diciembre 3 y 4, 2009

648. J. Joshua Thomas and Choy Chee Ken, Process visualization to solve the travelling salesman problem, Proceedings of the 3rd International Symposium on Visual Information Communication, 2010, ISBN: 978-1-4503-0436-8 doi:10.1145/1865841.1865858

649. Yong Mao, Yanfang Deng, Solving Vehicle Routing Problem with Time Windows with Hybrid Evolutionary Algorithm, 2010 Second WRI Global Congress on Intelligent Systems, 978-0-7695-4304-8/10, IEEE, DOI 10.1109/GCIS.2010.171, 335-339

650. Thomas, J.J., Choy Chee Ken, Leow, A., An interactive approach to solve the Travelling Salesman Problem. 5th International Conference on Computer Sciences and Convergence Information Technology (ICCIT), 2010 DOI: 10.1109/ICCIT.2010.5711146 Publication Year: 2010 , Page(s): 710 – 715

651. Melo Freire, Lívio Antônio, Heurística e Limites Duais para o Problema de Dimensionamento de Lotes e Sequenciamento com Tempos de Preparação Dependentes da Sequência, Belo Horizonte, 2011, MSc Thesis, Universidade Federal de Minas Gerais, May 2011

652. Jian Sun, Yuting Wang, Junqing Li, Kaizhou Gao, Hybrid Algorithm Based on Chemical Reaction Optimization and Lin-Kernighan Local Search for the Traveling Salesman Problem, 2011 Seventh International Conference on


Natural Computation, 978-1-4244-9953-3/11/$26.00 ©2011 IEEE, 1518-1521.

653. Saeed Shahrivari, Mohsen Sharifi, Task-Oriented Programming: A Suitable Programming Model for Multicore and Distributed Systems, 10th International Symposium on Parallel and Distributed Computing, Cluj Napoca, Cluj Romania, 06-08 July 2011, ISBN: 978-0-7695-4540-0

654. Wang Chun-gang and Zhao Hui, Vehicle Control and Dispatching Model Based on MAS, Proceedings of the 2011, International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE2011) November 19–20, 2011, Melbourne, Australia, Advances in Intelligent and Soft Computing, 2012, Volume 111/2012, 497-503, DOI: 10.1007/978-3-642-25188-7_62


656. Ritzinger, U., Puchinger, J. , Hybrid metaheuristics for dynamic and stochastic vehicle routing, Studies in Computational Intelligence 434 , pp. 77-95, 2013

657. Bahriye Akay, Emre Aydogan, Levent Karacan, 2-opt based artificial bee colony algorithm for solving traveling salesman problem, 2nd World Conference on Information Technology (WCIT-2011), 1 (2012), 666-672.

658. Faisal Amri, Erna Budhiarti Nababan, Mohammad Fadly Syahputra, Artificial Bee Colony Algorithm untuk Menyelesaikan Travelling Salesman Problem, JURNAL DUNIA TEKNOLOGI INFORMASI Vol. 1, No. 1, (2012) 8-13

659. M. Rajabi Bahaabadi, A. Shariat Mohaymany, and M. Babaei, AN EFFICIENT CROSSOVER OPERATOR FOR TRAVELING SALESMAN PROBLEM, International Journal of Optimization in Civil Engineering, 2012, 2(4), 607-619

660. Everton Santi, Uma Abordagem Hybrida Para O Problema De Selecao de Fornecedores em Cadeias de Suprimentos, Mestre em Engenharia de Producao, Universidado Federal do Rio Grande do Norte, Rio de Janeiro, Brazil, 2012

661. Baddi, Y., El Kettani E.-C., Dafi M., Parallel GRASP algorithm with delay and delay variation for Rendezvous Point selection in PIM-SM multicast routing, Journal of Theoretical and Applied Information Technology 57 (2) , pp. 235-243, 2013

662. Dowlatshahi, M.B., Nezamabadi-Pour, H., Mashinchi, M., A discrete gravitational search algorithm for solving combinatorial optimization problems, Information Sciences 258 , pp. 94-107, 2014

663. Baddi, Y., El Kettani E.-C., Dafi M., Parallel GRASP algorithm with delay and delay variation for Rendezvous Point selection in PIM-SM multicast routing, 2013 Eighth International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA), 28-30 Oct. 2013, 481 – 487, Compiegne, France, DOI: 10.1109/BWCCA.2013.84

664. Baddi, Y., El Kettani E.-C., Dafi M., Parallel GRASP algorithm with delay and delay variation for core selection in shared tree based multicast routing protocols, 2013 Third International Conference on Innovative Computing Technology (INTECH), 29-31 Aug. 2013, London, DOI: 10.1109/INTECH.2013.6653696


The paper “A Hybridized Particle Swarm Optimization with Expanding Neighborhood Topology for the Feature Selection Problem”, M.J. Blesa et al. (Eds.): HM 2013, LNCS 7919, pp. 37–51, ©Springer-Verlag Berlin Heidelberg 2013” is cited by:

665. Lim, W.H., Mat Isa, N.A., Particle swarm optimization with increasing topology connectivity. Engineering Applications Artifficial Intelligence (2013), http://dx.doi.org/10.1016/j.engappai.2013.09.011i

The paper “Bumble Bees Mating Optimization Algorithm for the Vehicle Routing Problem”, Handbook of Swarm Intelligence – Concepts, Principles and Applications, Editors Bijaya Ketan Panigrahi, Yuhui Shi and Meng-Hiot Lim, Series on Adaptation, Learning, and Optimization 8, Springer – Verlang, Berlin, 347-369, 2011” is cited by:

666. Vidal, T., Crainic, T.G., Gendreau, M., Prins, C., Heuristics for multi-attribute vehicle routing problems: A survey and synthesis, European Journal of Operational Research (2013), 231, 1-21.


668. Sabar, N.R., Ayob, M., Kendall, G., Qu, R., Grammatical evolution hyper-heuristic for combinatorial optimization problems, IEEE Transactions on Evolutionary Computation 17 (6) , art. no. 6595625 , pp. 840-861, 2013

The paper “A Bumble bees mating optimization algorithm for global unconstrained optimization problems, Nature Inspired Cooperative Strategies for Optimization - NICSO 2010, Studies in Computational Intelligence, 284, J.R. Gonzalez et al. (Eds.), Springer-Verlag Berlin, 305-318” is cited by:

669. Konrad Diwold, Andrej Aderhold, Alexander Scheidler, Martin Middendorf, Performance evaluation of artificial bee colony optimization and new selection schemes, Memetic Computing, (2011), 3, 3, 149-162.

670. Celik, Y., Ulker, E. , An improved marriage in honey bees optimization algorithm for single objective unconstrained optimization, The Scientific World Journal 2013 , art. no. 370172, 2013

The paper “A Hybrid Bumble Bees Mating Optimization – GRASP Algorithm for Clustering”, HAIS 2009, Lecture Notes in Artificial Intelligence (LNΑΙ) 5572, E. Corchado et al. (Eds.), Springer Verlag Berlin Heidelberg, 549-556, 2009” is cited by:

671. Mohamed Jafar Abul Hasan, Sivakumar Ramakrishnan, A survey: hybrid evolutionary algorithms for cluster analysis, Artificial Intelligence Reviews, (2011), 36, 3, 179-204.



673. Ahmed A. A. Esmin, Rodrigo A. Coelho, Stan Matwin, A review on particle swarm optimization algorithm and its variants to clustering high-dimensional data, Artificial Intelligence Review DOI 10.1007/s10462-013-9400-4, 2013

The paper “Metaheuristic Algorithms for the Vehicle Routing Problem, Encyclopedia of Optimization, 2nd Edition, DOI: 10.1007/978-0-387-74759-0_366, 2055 – 2061, Springer, 2009” is cited by:

674. Stanley Murairwa, Engku Muhammad Nazri, How to Measure Heuristic Performance Consistency, European Journal of Scientific Research ISSN 1450-216X Vol.46 No.3 (2010), pp.363-377, © EuroJournals Publishing, Inc. 2010

The paper “Heuristic and metaheuristic algorithms for the traveling salesman problem, Encyclopedia of Optimization, 2nd Edition, DOI: 10.1007/978-0-387-74759-0_262, 1499 – 1506, Springer, 2009” is cited by:

675. Jungyun Bae and Sivakumar Rathinam, Approximation algorithms for multiple terminal, Hamiltonian path problems, Optimization Letters, (2012), 6, 1, 69-85.

676. Sai Yadlapalli, Sivakumar Rathinam and Swaroop Darbha, 3-Approximation algorithm for a two depot, heterogeneous traveling salesman problem, Optimization Letters, (2012), 6, 1, 141-152.

The paper “Location Routing Problem”, Encyclopedia of Optimization, 2nd Edition, DOI: 10.1007/978-0-387-74759-0_345, 1919 – 1925, Springer” is cited by:

677. Liao Xin-Lan; Ting, Chuan-Kang; An evolutionary approach for the selective pickup and delivery problem, 2010 IEEE Congress on Evolutionary Computation (CEC), Digital Object Identifier: 10.1109/CEC.2010.5586360 Publication Year: 2010, Page(s): 1 - 8

678. Liao Xin-Lan; Ting, Chuan-Kang; Evolutionary algorithms using adaptive mutation for the selective pickup and delivery problem 2012 IEEE Congress on Evolutionary Computation (CEC), Publication Year: 2012, Page(s): 1 - 8

The paper “A Hybrid Clustering Algorithm based on Multi-Swarm Constriction PSO and GRASP, DaWaK 2008, Lecture Notes in Computer Science (LNCS) 5182, I.Y. Song, J. Eder, and T.M. Nguyen (Eds.), Springer-Verlag Berlin Heidelberg, 186-195, 2008” is cited by:



The paper “A Hybrid Clustering Algorithm based on Honey Bees Mating Optimization and Greedy Randomized Adaptive Search Procedure, Learning and Intelligence Optimization - LION 2, Lecture Notes in Computer Science (LNCS) 5313,


V. Maniezzo, R. Battiti and J.P. Watson, Springer-Verlag Berlin Heidelberg, 138-152, 2008” is cited by:

681. Dervis Karaboga and Bahriye Akay, A survey: algorithms simulating bee swarm intelligence, Artificial Intelligence Review, 2009, 31, 1-4, 61-85.

682. Cristina Bianca Pop, Viorica Rozina Chifu, Ioan Salomie, Mihaela Dinsoreanu, Tudor David, and Vlad Acretoaie, Semantic Web Service Clustering for Efficient Discovery Using an Ant-Based Method, M. Essaaidi et al. (Eds.): Intelligent Distributed Computing IV, SCI 315, pp. 23–33, Springer-Verlag Berlin Heidelberg 2010

683. Konrad Diwold, Madeleine Beekman, and Martin Middendorf, Honeybee Optimisation – An Overview and a New Bee Inspired Optimisation Scheme, Handbook of Swarm Intelligence – Concepts, Principles and Applications, Series on Adaptation, Learning, and Optimization, Springer, 2011, 295-327.


685. Pop, C.B., Chifu, V.R., Salomie, I., Dinsoreanu, M., David, T., Acretoaie, V., Nagy, A., Oprisa, C., Biologically-inspired clustering of semantic Web services. Birds or ants intelligence?, Concurrency Computation Practice and Experience 24 (6) , pp. 619-633

686. Chun-Wei Tsai, Wei-Cheng Huang and Ming-Chao Chiang, Recent Development of Metaheuristics for Clustering, James J. (Jong Hyuk) Park et al. (eds.), Mobile, Ubiquitous, and Intelligent Computing Lecture Notes in Electrical Engineering 274, 629 -636, DOI: 10.1007/978-3-642-40675-1_93, © Springer-Verlag Berlin Heidelberg 2014,

687. Krause, J., Cordeiro, J., Parpinelli, R.S., Lopes, H.S.A., A Survey of Swarm Algorithms Applied to Discrete Optimization Problems, Swarm Intelligence and Bio-Inspired Computation, 2013

The paper “Honey Bees Mating Optimization Algorithm for the Vehicle Routing Problem, Nature Inspired Cooperative Strategies for Optimization - NICSO 2007, Studies in Computational Intelligence, N. Krasnogor, G. Nicosia, M. Pavone, D. Pelta (Eds.), Springer-Verlag Berlin, Vol. 129, 139-148, 2008” is cited by:

688. Amalia Guaymas Canavire and Margarita Ruiz, Un algoritmo HBMO para el Problema de P-Mediana Capacitada, Reunion Annual de la Union Matematica, Universidad National del Mar Der Plata, 21-26 September 2009, Argentina.

689. Belén Melián-Batista, J. Marcos Moreno-Vega, Nitesh Vaswani and Rayco Yumar, A Nature Inspired Approach for the Uncapacitated Plant Cycle Location Problem, Studies in Computational Intelligence, Nature Inspired Cooperative Strategies for Optimization (NICSO 2008), 2009, Vol. 236, pp. 49-60.

690. Dervis Karaboga and Bahriye Akay, A survey: algorithms simulating bee swarm intelligence, Artificial Intelligence Review, 2009, 31, 1-4, 61-85.

691. Adriane Beatriz de Souza Serapião, Fundamentos De Otimização Por Inteligência De Enxames: Uma Visão Geral, Revista Controle & Automação/Vol.20 no.3/Julho, Agosto e Setembro 2009, 271 – 304


692. Amalia Guaymas Canavire and Margarita Ruiz, Un algoritmo HBMO para el Problema de P-Mediana Capacitada, Noticiero de la Union Matematica Argentina, Vol 46, Junio 2010.



695. Marcos Mansano Furlan, Metodos Heuristicos para o problema de dimensionamento de lotes multiestagio com limitacao de capacidade, MSc Thesis, Instituto de Ciencias Matematica e de Computacao, ICMC-USP, Sao Paolo, Brazil, 2011

696. Qingfang Ruan, Zhengqian Zhang, Lixin Miao, Haitao Shen, A hybrid approach for the vehicle routing problem with three-dimensional loading constraints. Computers and Operations Research (2011), doi:10.1016/j.cor.2011.11.013

697. Vahid Azadehgan, M. R. Meybodi, Nafiseh Jafarian and Farshad Jafarieh, Discrete Binary Honey Bees Mating Optimization with Capability of Learning, Communications in Computer and Information Science, 1, Volume 250, Computational Intelligence and Information Technology, Part 2, Pages 630-636, Springer, 2011



700. Yuan, B., Zhang, C., Lian, K., Shao, X. , A hybrid honey-bees mating optimization algorithm for assembly sequence planning problem, Proceedings - International Conference on Natural Computation, art. no. 6234568 , pp. 1135-1140, 2012

701. Qingfang Ruan, Zhengqian Zhang, Lixin Miao, Haitao Shen, A hybrid approach for the vehicle routing problem with three-dimensional loading constraints, Computers & Operations Research 40 (2013) 1579–1589




The paper “Cost allocation in Combinatorial Optimization Games, Pareto Optimality, Game Theory and Equilibria, A. Chinchuluun et al. (eds.), Springer, 217-247, 2008” is cited by:

704. Pearl C. C. Shum, Vincent T.Y. Ng, Multi-Agent System for Shipper’s Truck Freight Collaboration, Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design, 978-1-4577-0387-4/11 ©2011 IEEE 319 - 323

The paper “A Hybrid Particle Swarm Optimization Algorithm for Clustering Analysis, DaWaK 2007, Lecture Notes in Computer Science (LNCS) 4654, I.Y. Song, J. Eder, and T.M. Nguyen (Eds.), Springer-Verlag Berlin Heidelberg, 241-250, 2007” is cited by:



The paper “Heuristic Solutions of Vehicle Routing Problems in Supply Chain Management, Combinatorial and Global Optimization, P.M. Pardalos et al. (eds.), Scientific World, 205-235, 2002” is cited by:

707. Zhao, Y.W, Wu, B., Jiang, L., Dong, H.Z., Wang, W.L. Double Populations

Genetic Algorithm for Vehicle Routing Problem, Computer Integrated Manufacturing Systems 2004 Vol.10 No.3 p.303-306

708. JIU Rubrico, J. Ota, H. Tamura, M. Akiyoshi, T. Hiqashi, Route Generation for Warehouse Management Using Fast Heuristics, IEEE, 2004 International Conference on Intelligent Robots and Systems 2004, (IROS 2004), 2093 – 2098.

709. A. Bonfill, C. Mendez, A. Espuña and L. Puigjaner. Coordinating Production and Transport Scheduling in SCM through Rigorous and Heuristic - Based Methods, AiChe 2005 Annual Meeting (Cincinati, OH). Conference Proceedings, Omnipress 2005, p. 342-346.

710. A. Bonfill. Proactive management of uncertainty to improve scheduling robustness in process industries, Ph.D. Thesis, Universitat Politechnica of Catalunya, Barcelona, Spain, 2006.

711. Arturo Bezerra Acioli Toscano Filho, Um Ambiente na Web para Otimização do Transporte de Passageiros sob Regime de Fretamento, Ph.D. Thesis, UNIVERSIDA DE FORTALEZA, Brazil, 2006

712. Méndez, C.A., Bonfill, A., Espuña, A., Puigjaner, L.. A rigorous approach to coordinate production and transport scheduling in a multi-site system. A: 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering. Elsevier, Amsterdam (Ed. W. Marquardt and C. Pantelides), 2006, p. 2171-2176.

713. Huan Arturo Herrera Ortiz, Desarrollo de una Metodología Basada en Heurísticas para la Solución Integral de Problemas de Asignación de Rutas,


Horarios y Cargas en el Proceso de Distribución y Entrega de Productos, MSc Thesis, Instituto Technologico de Cd. Madero, Mexico

714. Y. Kim, D.W. Gu and I. Postlethwaite, Real-Time Optimal Time-Critical Target Assignment for UAVs, M.J. Hirsch et al. (Eds.): Advances in Cooperative Control and Optimization, Lecture Notes in Control and Information Sciences, Vol 369, pp. 265-280, 2007.

715. Y. Kim, D.W. Gu and I. Postlethwaite, Real-Time Optimal Mission Scheduling and Flight Path Selection, IEEE Transactions on Automatic Control, Vol. 52, No. 6, pp. 1119 – 1123, June 2007

716. Dusan Salaj. Vehicle Routing Problem Metody Riesenia, Diplomova Praca, Katedra Informatiky, Fakulta Matematiky, Fyziky and Informatiky Unevirzita Komenskeho, Bratislava, May 2007.

717. Ettiene Pozzobom Lazzeris Simas, Utilizando a Busca Tabu na Resolucao do Problema de Roteamento de Veiculos, MSc Thesis, Universidade do Vale do Rio dos Sinos, 2007.

718. Irwan Hadi Praytino, Pengembangan Model Optimasi Pengangkutan Sampah Di Jakarta Pusat, Ph.D Thesis, Departemen Matematika Fakultas Matematika Dan Ilmu Pengetahuan Alam Institut Pertanian Bogor, 2007

719. Bonfill, A. Espuña and L. Puigjaner, Decision support framework for coordinated production and transport scheduling in SCM, Computers and Chemical Engineering (2008), 32, 1214-1232

720. Vanessa de Oliveira Ferreira, Vitória Pureza, UMA EXTENSÏO DA HEURÏSTICA DE CLARKE E WRIGHT PARA DESIGNAÏÏO DE ENTREGADORES EXTRAS EM ROTAS DE VEÏCULOS, XXX ENCONTRO NACIONAL DE ENGENHARIA DE PRODUÇÃO Maturidade e desafios da Engenharia de Produção: competitividade das empresas, condições de trabalho, meio ambiente. São Carlos, SP, Brasil, 12 a15 de outubro de 2010.

721. Pedro Joaquim Oliveira Lopes, Aplicação de Algoritmos Genéticos na Determinação de Circuitos Óptimos de Recolha de Resíduos Sólidos Urbanos, Tese de Mestrado, Departamento de Engenharia Química, 2008, Universidade de Porto, Portugal.

722. Ertan Yakıcı · Orhan Karasakal, A min–max vehicle routing problem with split delivery and heterogeneous demand, Optimization Letters, DOI 10.1007/s11590-012-0571-8

The paper “A Honey Bees Mating Optimization Algorithm for the Open Vehicle Routing Problem, GECCO: 2011, Genetic and Evolutionary Computation Conference, 2011”, is cited by:

723. Vahid Azadehgan, Payam Khanteimouri, Sorayya Akbari, Niusha Ghandehari, A Collaborative Approach for LA-DHBMO, Applied Mathematics, 2012, 3, 1442-1447 doi:10.4236/am.2012.330203 Published Online October 2012 (http://www.SciRP.org/journal/am)

724. Randal S. Olson, David B. Knoester, and Christoph Adami, Critical Interplay Between Density-dependent Predation and Evolution of the Selfish Herd, GECCO’13, July 6–10, 2013, Amsterdam, The Netherlands. Copyright 2013 ACM 978-1-4503-1963-8/13/07


The paper “A Hybrid Discrete Artificial Bee Colony – GRASP Algorithm for Clustering”, 39th International Conference on Computers and Industrial Engineering, 2009” is cited by:

725. R.S. Parpinelli and H.S. Lopes, New inspirations in swarm intelligence: a survey, International Journal of Bio-Inspired Computation, Volume 3, Number 1 / 2011, 1 – 16

726. K. Ayan and U. Kılıç, Optimal Güç Akışı Probleminin Çözümü İçin GA, MA ve YAK Algoritmalarının Karşılaştırılmas, 6th International Advanced Technologies Symposium (IATS’11), 16-18 May 2011, Elazığ, Turkey

727. Haiyan Zhao, Zhili Pei, Jingqing Jiang, Renchu Guan, Chaoyong Wang;Xiaohu Shi, A Hybrid Swarm Intelligent Method Based on Genetic Algorithm and Artificial Bee Colony, Advances in Swarm Intelligence, 2011, 558-565

728. Oleynik, A. Subbotin, S., Bee colony optimization for clustering, Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET), 2010, 23-27 Feb. 2010

729. Wei-Ping Lee and Wan-Ting Cai, A Novel Artificial Bee Colony Algorithm with Diversity Strategy, 2011 Seventh International Conference on Natural Computation, 978-1-4244-9953-3/11/2011 IEEE, 1441-1444

730. Mohammad Ali Shafia, Mohammad Rahimi Moghaddam, Rozita Tavakolian, A Hybrid Algorithm for Data Clustering Using Honey Bee Algorithm, Genetic Algorithm and K-Means Method, Journal of Advanced Computer Science and Technology Research 1 (2011) 110-125

731. K. Ayan, U. Kilic¸, Artificial Bee Colony Algorithm Solution For Optimal Reactive Power Flow, Applied Soft Computing Journal (2012), 12, 5, 1477-1482.

732. Dervis Karaboga, Beyza Gorkemli, Celal Ozturk, Nurhan Karaboga, A comprehensive survey: artificial bee colony (ABC) algorithm and applications, Artifficial Intelligence Review, DOI 10.1007/s10462-012-9328-0

733. W. Wongthatsanekorn, B. Phruksaphanrat, and R.Sangkhasuk, Applying Bee Colony Optimization Heuristic for Make-Pack Problem in Process Manufacturing, Proceedings of the International Multi-Conference of Engineers and Computer Scientists, 2012 Vol II, IMECS 2012, March 14-16 2012, Hong Kong, ISBN 978-988-19251-9-0

734. Ayan, K., Kilic, U., Solution of multi-objective optimal power flow with chaotic artificial bee colony algorithm, International Review of Electrical Engineering 6 (3) , pp. 1365-1371

735. Fahad S. Abu-Mouti, Mohamed E. El-Hawary, Overview of Artificial Bee Colony (ABC) Algorithm and Its Applications, 2012 IEEE International Systems Conference (SysCon), 19-22 March 2012

736. Karaboga, D., Gorkemli, B., A quick artificial bee colony -qABC- algorithm for optimization problems, INISTA 2012 - International Symposium on INnovations in Intelligent SysTems and Applications, art. no. 6247010, 2012

737. Rafael S. Parpinelli, Fábio R. Teodoro and Heitor S. Lopes, A comparison of swarm intelligence algorithms for structural engineering optimization, INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING (2012), Published online in Wiley Online Library


(wileyonlinelibrary.com). DOI: 10.1002/nme.4295, Copyright 2012 John Wiley & Sons, Ltd.

738. S.-M. Chen et al., Simulated annealing based artificial bee colony algorithm for global numerical optimization, Applied Mathematics and Computation (2012), 219(8), 3575-3589.

739. Li, X.-B., Liu, L., Ma, K., Cognitive radio spectrum allocation based on discrete artificial bee colony algorithm, Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics 34 (10) , pp. 2136-2141, 2012

740. D.Akila and C.Jayakumar, Link-based Ensemble Approach for Web Information Retrieval Using Honey Bee and K-Means Algorithm, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 2, Issue 11, November 2012 ISSN: 2277 128X, 75-81

741. Kamalam Balasubramani, Karnan Marcus, A Comprehensive review of Artificial Bee Colony Algorithm, International Journal of Computers & Technology Volume 5, No. 1, May -June, 2013, ISSN 2277-3061

742. Ayan, K., Kiliç, U. , Solution of transient stability-constrained optimal power flow using artificial bee colony algorithm, Turkish Journal of Electrical Engineering and Computer Sciences 21 (2) , pp. 360-372, 2013

743. Bansal, J.C., Sharma, H., Jadon, S.S. , Artificial bee colony algorithm: A survey, International Journal of Advanced Intelligence Paradigms 5 (1-2) , pp. 123-159, 2013

744. Salima Ouadfel, Souham Meshoul, Handling Fuzzy Image Clustering with a Modified ABC Algorithm, International Journal of Intelligent Systems and Applications(IJISA), Vol. 4, No. 12, November 2012, 65-74

745. Liu, T., Zhang, L., Zhang, J., Study of binary artificial bee colony algorithm based on particle swarm optimization, Journal of Computational Information Systems 9 (16) , pp. 6459-6466, 2013

746. Krause, J., Cordeiro, J., Parpinelli, R.S., Lopes, H.S.A., A Survey of Swarm Algorithms Applied to Discrete Optimization Problems, Swarm Intelligence and Bio-Inspired Computation, 2013

747. ASAJU LA’ARO BOLAJI, AHAMAD TAJUDIN KHADER, MOHAMMED AZMI AL-BETAR AND MOHAMMED A. AWADALLAH, ARTIFICIAL BEE COLONY ALGORITHM, ITS VARIANTS AND APPLICATIONS: A SURVEY, Journal of Theoretical and Applied Information Technology, 47 (2), 434-459, 2013

748. Hati, A.N. ; Darbar, R. ; Jana, N.D. ; Sil, J., Modified Artificial Bee Colony Algorithm using differential evolution and polynomial mutation for real-parameter optimization, 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 22-25 Aug. 2013, Mysore, 534-539, DOI: 10.1109/ICACCI.2013.6637228

The paper “A Hybrid Honey Bees Mating Optimization Algorithm for the Probabilistic Traveling Salesman Problem, IEEE Congress on Evolutionary Computation (CEC 2009)” is cited by:



750. Kang, Q.-M., He, H., Song, H.-M., Deng, R., Task Allocation for Maximizing Reliability of Distributed Computing Systems Using Honeybee Mating Optimization, The Journal of Systems and Software (2010), 83, 11, 2165-2174.

751. Hasan Jalili. Ahmadreza Amirzadeh, Alireza Noorafkan and Golsoom Jalili, A new evolutionary algorithm based on data sharing concept for solving optimization problems, Scientific Research and Essays Vol. 6(23), pp. 5082-5090, 16 October, 2011, ISSN 1992-2248, Academic Journals.

752. Mohamed Firdhous, Osman Ghazali, and Suhaidi Hassan, Applying Bees Algorithm for Trust Management in Cloud Computing, E. Hart et al. (Eds.): BIONETICS 2011, LNICST 103, pp. 224–229, 2012.


754. Tomáš Čeleda, OPTIMALIZACE PÁŘENÍM VČELÍ KRÁLOVNY, ČESKÉ VYSOKÉ UČENÍ TECHNICKÉ V PRAZE FAKULTA ELEKTROTECHNICKÁ, MSc. Thesis, Praha 2011

755. Shiliang Luo, XuLu, Lianglun Cheng TSOIA: An efficient node selection algorithm facing the uncertain process for Internet of Things. Journal of Network and Computer Applications (2013), http://dx.doi.org/10.1016/j.jnca.2012.12.015i


757. Huang, S.‐J., Liu, X.‐Z., Su, W.‐F., Ou, T.‐C., Application of Enhanced Honey‐Bee Mating Optimization Algorithm to Fault Section Estimation in Power Systems IEEE Transactions on Power Delivery, (Volume:28 , Issue: 3 ), 1944 – 1951, 2013

The paper “Optimal Structural and Mechanism Design using Topology Optimization, International Conference on Modeling and Simulation 08, 18-20 November 2008, Petra, Jordan” is cited by:

758. M. Frantová, P. Štemberk, V. Vala, Application of strut-and-tie model on eccentric columns, ISSN 1392 - 1207. MECHANIKA. 2011. 17(2): 126-131

The paper “Particle Swarm Optimization Approach for Fuzzy Control of Smart Structures, 6th International Conference on Engineering Computational Technology (ECT 2008)” is cited by:

759. Tairidis, G.K., Stavroulakis, G.E., Marinova, D. and Zacharenackis, E., Classical and soft robust control of smart beams, Computational Structural Dynamics and Earthquake Engineering, Papadrakakis et al. (Eds), CRC Press 2009, 165-178

The paper “Honey Bees Mating Optimization for the Location Routing Problem, IEEE International Engineering Management Conference (IEMC – Europe 2008)” is cited by:


760. Shin-Guang Lai, Marriage in Honey Bees Algorithm-Aided Capacitor Placement for Electric Power Distribution Systems, PhD Thesis, National Cheng Kung University, China, 2009

761. Adriane Beatriz de Souza Serapião, Fundamentos De Otimização Por Inteligência De Enxames: Uma Visão Geral, Revista Controle & Automação/Vol.20 no.3/Julho, Agosto e Setembro 2009, 271 - 304

762. Tsung-Heng Chen, The study of mobile sink movement scheduling optimization in wireless sensor networks, MSc Thesis, National Cheng Kung University, China, 2010


The paper “Training Neural Network Based Models Using Trading Related Objective Functions, NISIS 2007, 3rd Annual Symposium, 26-27 November 2007, St Julians, Malta” is cited by:

764. Papaconstantis, E 2009, Competitive co-evolution of trend reversal indicators using particle swarm optimisation, MSc dissertation, University of Pretoria, Pretoria

The paper “Nature Inspired Intelligent Techniques for Pap Smear Diagnosis: Ant Colony Optimization for Cell Classification”, The Pap Smear Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 35 - 45, 2006” is cited by:

765. Andromaxi Bafiadi, Classification of Patients with Cancer using data from the Pap-smear test, MSc Thesis, University of Ioannina, Greece, 2009.

766. RamaPraba P.S, Ranganathan H., TEXTURE BASED ANALYSIS AND CONTOUR DETECTION OF CERVICAL SMEAR IMAGE, International Journal on Intelligent Electronic Systems, Vol. 5, No.1, January 2011

The paper “Pap Smear Diagnosis Using a Hybrid Intelligent Scheme Focusing on Genetic Algorithm Based Feature Selection and Nearest Neighbor Classification, The Pap Smear Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 15-24, 2006” is cited by:




769. Pilar Sobrevilla, Eduard Montseny, Fabio Vaschetto, Enrique Lerma, Fuzzy-based analysis of microscopic color cervical pap smear images: nuclei detection, International Journal of Computational Intelligence and Applications (IJCIA), Volume: 9, Issue: 3(2010) pp. 187-206 DOI: 10.1142/S1469026810002860


The paper “Nearest Neighbor Based Pap Smear Cell Classification Using Tabu Search for Feature Selection, The Pap Smear Benchmark, Intelligent and Nature Inspired Approaches in Pap Smear Diagnosis, Special Session Proceedings of the NISIS - 2006 Symposium, 25-34, 2006” is cited by:



773. Pilar Sobrevilla, Eduard Montseny, Fabio Vaschetto, Enrique Lerma, Fuzzy-based analysis of microscopic color cervical pap smear images: nuclei detection, International Journal of Computational Intelligence and Applications (IJCIA), Volume: 9, Issue: 3(2010) pp. 187-206 DOI: 10.1142/S1469026810002860


775. RamaPraba P.S, Ranganathan H., TEXTURE BASED ANALYSIS AND CONTOUR DETECTION OF CERVICAL SMEAR IMAGE, International Journal on Intelligent Electronic Systems, Vol. 5, No.1, January 2011


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