ENGLISH

Evolutionary Optimization

By Xin Yao , Masoud Mohammadian , Ruhul Sarker

Book information

Publisher
Kluwer Academic Publ
Year
2008
ISBN
0792376544, 9780792376545
Open Library ID
OL18169896M
Language
english
Format
PDF
Filesize
11 MB (11577824 bytes)
Series
International Series in Operations Research and Management Science
Edition
1
Pages
433\433
Time added
2011-01-08 23:22:23

Description

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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