The use of evolutionary computation techniques has grown  considerably over the past several years. Over this time, the use and  applications of these techniques have been further enhanced resulting  in a set of computational intelligence (also known as modern  heuristics) tools that are particularly adept for solving complex  optimization problems. Moreover, they are charac-teristically more  robust than traditional methods based on formal logics or mathematical  programming for many real world OR/MS problems. Hence, evolutionary  computation techniques have dealt with complex optimization problems  better than traditional optimization techniques although they can be  applied to easy and simple problems where conventional techniques work  well. Clearly there is a need for a volume that both reviews  state-of-the-art evolutionary computation techniques, and surveys the  most recent developments in their use for solving complex OR/MS  problems. This volume on Evolutionary Optimization seeks to fill this  need.   Evolutionary Optimization is a volume of invited papers written  by leading researchers in the field. All papers were peer reviewed by  at least two recognized reviewers. The book covers the foundation as  well as the practical side of evolutionary optimization.

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