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Proceedings Paper

Evolutionary computational techniques for complex adaptive structures
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Paper Abstract

Newly developed evolutionary computational techniques have emerged as important tools for complex design tasks. In this paper, the basic concepts involved with artificial neural networks, fuzzy logic, the genetic algorithm and cellular automata will be presented. The origins of these techniques in natural complex adaptive systems will be identified, and a number of particular examples of the use of these techniques in practical applications will be discussed. Finally, the potential for the use of these techniques for the design of complex adaptive structures will be addressed.

Paper Details

Date Published: 23 October 2001
PDF: 9 pages
Proc. SPIE 4512, Complex Adaptive Structures, (23 October 2001); doi: 10.1117/12.446763
Show Author Affiliations
William B. Spillman Jr., Virginia Polytechnic Institute and State Univ. (United States)

Published in SPIE Proceedings Vol. 4512:
Complex Adaptive Structures
William B. Spillman Jr., Editor(s)

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