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Evolutionary Optimization PDF

433 Pages·2008·11.041 MB·English
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by Ruhul Sarker, Masoud Mohammadian, Xin Yao| 2008| 433 pages| 11.041| English

About Evolutionary Optimization

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.

Detailed Information

Author:Ruhul Sarker, Masoud Mohammadian, Xin Yao
Publication Year:2008
ISBN:9780792376545
Pages:433
Language:English
File Size:11.041
Format:PDF
Price:FREE
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