Evolutionary and Adaptive Computing in Engineering Design

Name: Evolutionary and Adaptive Computing in Engineering Design
Brand: Springer London Ltd
SKU: 9781852330293
Price: 422.9 PLN
Availability: InStock

Autor: Ian C. Parmee

Język:

Oprawa: Twarda

Wydawca: Springer London Ltd

Dostępność: Dostępna u dostawcy

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422.90 zł

The overall purpose of the book is to raise designers' and researchers' awareness of the potential o...

Informacje o książce

Autor

Ian C. Parmee

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2001

strony

286

EAN

9781852330293

ISBN

1852330295

Enbook ID

05260500

Wydawca

Springer London Ltd

Waga

1350

Wymiary

155 x 235 x 21

Pełny opis

The overall purpose of the book is to raise designers' and researchers' awareness of the potential of evolutionary and adaptive computing within engineering design. Although there are many examples of the application of evolutionary and adaptive search algorithms to well-defined engineering design problems, examples exploring the generic utility of these techniques across the design process as a whole are less evident. Experience of the integration of the technology with conceptual, embodiment and detailed design processes indicates that, in addition to routine optimisation, the powerful search and exploration capabilities of the various techniques coupled with appropriate designer interaction can lead to the discovery of high-performance, innovative design alternatives.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.These stem from across the mechanical, civil, electronic, aerospace and power system engineering sectors. 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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