Evolutionary and Adaptive Computing in Engineering Design

Nonfiction, Science & Nature, Technology, Industrial Design, Computers, Application Software, CAD/CAM
Cover of the book Evolutionary and Adaptive Computing in Engineering Design by Ian C. Parmee, Springer London
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Author: Ian C. Parmee ISBN: 9781447102731
Publisher: Springer London Publication: December 6, 2012
Imprint: Springer Language: English
Author: Ian C. Parmee
ISBN: 9781447102731
Publisher: Springer London
Publication: December 6, 2012
Imprint: Springer
Language: English

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.

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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.

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