adaptive computing in design and manufacture vi

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  • 8/3/2019 Adaptive Computing in Design and Manufacture VI

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    I. Plenary Papers1.1 The Everyday Engineering of Organizational and EngineeringInnovation ................................................................................. E. Goldberg 31.2 Mixing Maths with CasesI.F.C. Smith .................................................................................... 13

    2. Engineering Design Applications2.1 Morphogenic Evolutionary Design: Cellular Automata

    Representations in Topological S tructural DesignR. Kicinger, T. Arciszewski, K. Dejong ........................................ 252.2 Design Search and Optimisation using Radial Basis Functions withRegression Capabilities.......................................................................................J. Keane 392.3 Genetic Programming Within Civil Engineering

    D. haw, J . Miles, A. Gray ......................................................... 12.4 Enhancing Automated Process Design with Cognitive Agents,Distributed Soflware Components and Web Repositories........................... ........................................ E. Stalker, E. Fraga .. 632.5 Robust Solutions in Engineering Design - Stochastic Simulation vsDACER.A. Bates, H. P. Wynn .................................................................... 52.6 Adaptive Search for an Optimum in a Problem of Oil Stabilisation

    Process Design ......................... Zilinskas, E. Fraga, A. Mackute, A. Varoneckas 872.7 Application of Artificial Neural Networks in Differential Pulse CodeModulation SchemeH. B. Bahar ................................................................................... 99

    3. Manufacturing Processes3.1 Job-Shop Scheduling using the Clonal Selection Technique............................. A. Coello Coello, D.C.Rivera, N C. CortCs 1133.2 Genetic Optirnisation of Machine Tool Paths

    , ..................................K.A. Mohd ArifJin, N.D.Sims K. Wovden ,125

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    3.3 Automating the Analysis of Wafer Data Using Adaptive ResonanceTheory Networks ......................................... Miguelan"ez, A. M. Zalzala, P. Tabor 1373.4 Job Shop Scheduling using Multi-Agent SystemsA. M. Booth ........................................... .............................493.5 Tool Wear Prediction Approach for Turning Operations Based onGeneral Regression Neural Network (GRNN) TechniqueE.A. Almeshaiei, S.E. Oraby, M. A. Mahmoud ............................ 1613.6 An Efficient Genetic Algorithm to solve the Manufacturing CellFormation Problem .................................R. Vega, M S. Fuentes, M. C. Pacheco 1733.7 Evolutionary Simulated Annealing Algorithms for UncapacitatedFacility Location Problems

    V. Yigit, M. E. Aydin, 0. Titrkbey............................................... 1854. Interactive Evolutionary Design and Manufacture

    4.1 A Technique for Evaluation of Interactive Evolutionary SystemsM. Shackelford, D. K Corne ........................................................974.2 Interactive Evolutionary Strategy Based Discovery of ImageSegmentation Parameters

    P. Caleb-Solly, J , Smith ................................................................. 094.3 Extraction of Emerging Multi-Objective Design Information fromCOGA DataJ.A. Abraham, I.C. Parmee ...........................................................22 14.4 Building Compact Rulesets for Descr ibing Continuous-Valued

    Problem Spaces Using a Learning Classifier SystemD. Wyatt,L. Bull, I. C. Pannee ...................................................... 355. Evolutionary Multi-objective and ConstraintSatisfaction

    5.1 Metarnodel Assisted Multi-objective Optimisation Algorithms andtheir Application in Airfoil DesignM. Emmerich, B. Naujoch ............................................................495.2 Mechanical Component Design for Multiple Objectives usingGeneralised Differential EvolutionS. Kukkonen, J, Lampinen ..............................................................61

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    5.3 Multidisciplinary Aircraft Conceptual Design Op tinha tion Using aHierarchical Asynchronous Parallel Evolutionary Algorithm(HAPEA)L. F. Gonzcilez, E. J. Whitney, K. Srinivas, K. C. Wong,.................................................................................... P&riaux 2 7 35.4 CSAA: A Constraint Satisfaction Ant Colony Framework................................................................. Mertens. T. Holvoet 2855.5 Adaptive Computing in Support of Traffic Management......................................................................................... Penev 295

    6. Control and Robotics6.1 An Online Hierarchical Fuzzy Rule Based System for Mobile RobotControllersA. Waldock, B. Curse, C.Melhuish .............................................. 3096.2 Improving Robot Manipulator Performance with Adaptive Neuro-Control ....................................................................... G. Pipe, A. Len z 3 2

    7. Algorithm Development7.1 New Strategies in Differential EvolutionV. Feoktistov, S. Janaqi ................................................................ 3357.2 Balanced Random and Adaptive Interval Arithmetic for Systems ofLinear Interval EquationsJ. ii l inskas . . Bogle ..................................................................... 3477.3 An Effective Real Parameter Genetic Algorithm for Multi-modal

    OptimisationP. Ballester, J. Carter ....................... . ................................ 597.4 Dynamic Graph Drawing with a Hybridized Genetic Algorithm........................................................ Pinaud, P. Kuntz, R. Lehn 3657.5 Quantum-Inspired Evolution Algorithm: Experimental AnalysisF. Alfares, M. Alfares, I.I. Esat .................................................... 377

    Author Index .................................................................................................91