Evolutionary and Adaptive Computing in Engineering Design
Nonfiction, Science & Nature, Technology, Industrial Design, Computers, Application Software, CAD/CAM
| 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.
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.
