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Evolutionary and Adaptive Computing in Engineering Design / Edition 1
     

Evolutionary and Adaptive Computing in Engineering Design / Edition 1

by Ian C. Parmee, I. C. Parmee
 

ISBN-10: 1852330295

ISBN-13: 9781852330293

Pub. Date: 06/08/2001

Publisher: Springer London

Following an introduction to the various techniques and examples of their routine application, this potential is explored through the introduction of various strategies that support searches across a far broader set of possible design solutions within time and budget constraints. Generic problem areas investigated include:

- design decomposition;

-

Overview

Following an introduction to the various techniques and examples of their routine application, this potential is explored through the introduction of various strategies that support searches across a far broader set of possible design solutions within time and budget constraints. Generic problem areas investigated include:

- design decomposition;

- whole-system design;

- multi-objective and constraint satisfaction;

- human-computer interaction;

- computational expense.

Appropriate strategies that help overcome problems often encountered when integrating computer-based techniques with complex, real-world design environments are described. A straightforward approach coupled with examples supports a rapid understanding of the manner in which such strategies can best be designed to handle the complexities of a particular problem.

Product Details

ISBN-13:
9781852330293
Publisher:
Springer London
Publication date:
06/08/2001
Edition description:
2001
Pages:
286
Product dimensions:
6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

1. Introduction.- 2. Established Evolutionary Search Algorithms.- 3. Adaptive Search and Optimisation Algorithms.- 4. Initial Application.- 5. The Development of Evolutionary and Adaptive Search Strategies for Engineering Design.- 6. Evolutionary Design Space Decomposition.- 7. Whole-system Design.- 8. Variable-length Hierarchies and System Identification.- 9. Evolutionary Constraint Satisfaction and Constrained Optimisation.- 10. Multi-objective Satisfaction and Optimisation.- 11. Towards Interactive Evolutionary Design Systems.- 12. Population-based Search, Shape Optimisation and Computational Expense.- 13. Closing Discussion.- Appendix A: Some Basic Concepts.

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