Paper
23 October 2001 Evolutionary computational techniques for complex adaptive structures
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Proceedings Volume 4512, Complex Adaptive Structures; (2001) https://doi.org/10.1117/12.446763
Event: Complex Adaptive Structures, 2001, Hutchinson Island, FL, United States
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
William B. Spillman Jr. "Evolutionary computational techniques for complex adaptive structures", Proc. SPIE 4512, Complex Adaptive Structures, (23 October 2001); https://doi.org/10.1117/12.446763
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KEYWORDS
Fuzzy logic

Brain

Genetic algorithms

Neural networks

Computing systems

Control systems

Neurons

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