Adaptive Computing in Design and Manufacture

1. Front Matter

   Pages I-XI

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2. Design Issues

   1. Front Matter

      Pages 1-1

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   2. Adaptive Systems in Designing: New Analogies from Genetics and Developmental Biology

      • John S. Gero

      Pages 3-12

   3. Emergent Computational Models in Structural Analysis and Design

      • Prabhat Hajela

      Pages 13-26

   4. Exploring The Design Potential Of Evolutionary / Adaptive Search And Other Computational Intelligence Technologies

      • I. C. Parmee

      Pages 27-42

3. Adaptive Computing In Manufacture

   1. Front Matter

      Pages 43-43

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   2. Tackling Complex Job Shop Problems Using Operation Based Scheduling

      • D. S. Todd, P. Sen

      Pages 45-58

   3. Minimizing Job Tardiness: Priority Rules vs. Adaptive Scheduling

      • Dirk C. Mattfeld, Christian Bierwirth

      Pages 59-67

   4. Evolutionary Computation Approaches to Cell Optimisation

      • C. Dimopoulos, A. M. S. Zalzala

      Pages 69-83

   5. A Temperature Predicting Model for Manufacturing Processes Requiring Coiling

      • Nando Troyani, Luis Montano

      Pages 85-94

   6. Solving Multi-objective Transportation Problems by Spanning Tree-based Genetic Algorithm

      • Mitsuo Gen, Yin-Zhen Li

      Pages 95-108

4. Generic Issues: Model Representation, Multi-Objectives And Constraint Handling

   1. Front Matter

      Pages 109-109

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   2. Optimisation for Multilevel Problems: A Comparison of Various Algorithms

      • M. A. El-Beltagy, A. J. Keane

      Pages 111-120

   3. Evaluation of Injection Island GA Performance on Flywheel Design Optimisation

      • David Eby, R. C. Averill, William F. Punch III, Erik D. Goodman

      Pages 121-136

   4. Evolutionary Mesh Numbering: Preliminary Results

      • Francis Sourd, Marc Schoenauer

      Pages 137-150

   5. Two New Approaches to Multiobjective Optimisation Using Genetic Algorithms

      • Carlos A. Coello Coello

      Pages 151-160

   6. Mapping Based Constraint Handling for Evolutionary Search; Thurston’s Circle Packing and Grid Generation

      • Dae Gyu Kim, Phil Husbands

      Pages 161-173

5. Structured Representations

   1. Front Matter

      Pages 175-175

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   2. Evolutionary Design of Analog Electrical Circuits Using Genetic Programming

      • John R. Koza, Forrest H. Bennett III, David Andre, Martin A. Keane

      Pages 177-192

   3. Improving Engineering Design Models Using An Alternative Genetic Programming Approach

      • Andrew H. Watson, Ian C. Parmee

      Pages 193-206

The third evolutionary I adaptive computing conference organised by the Plymouth Engineering Design Centre (PEDC) at the University of Plymouth again explores the utility of various adaptive search algorithms and complementary computational intelligence techniques within the engineering design and manufacturing domains. The intention is to investigate strategies and techniques that are of benefit not only as component I system optimisers but also as exploratory design tools capable of supporting the differing requirements of conceptual, embodiment and detailed design whilst taking into account the many manufacturing criteria influencing design direction. Interest in the integration of adaptive computing technologies with engineering has been rapidly increasing in recent years as practical examples illustrating their potential relating to system performance and design process efficiency have become more apparent. This is in addition to the realisation of significant commercial benefits from the application of evolutionary planning and scheduling strategies. The development of this conference series from annual PEDC one day workshops to the biennial 'Adaptive Computing in Engineering Design and Control' conference and this year's event reflects this growth in both academic and industrial interest. The name change to include manufacture relates to a desire to increase cover of integrated product development aspects, facility layout and scheduling in addition to process I machine control.

• algorithms
• coating
• computer-aided design (CAD)
• concurrent engineering
• engineering design
• layout
• manufacturing
• model
• programming
• complexity
• algorithm analysis and problem complexity

• Engineering Design Centre, University of Plymouth, Plymouth, Devon, UK

  Ian C. Parmee

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