Evolutionary and Adaptive Computing in Engineering Design

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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.