Evolutionary computational techniques for complex adaptive structures

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.