Evolutionary Optimization

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Title: Evolutionary Optimization
Description:
(International Series in Operations Research & Management Science)
Pages: 432

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

characteristically 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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