Evolutionary Optimization (International Series in Operations Research & Management Science) [Hardcover]

Ruhul Sarker (Editor), Masoud Mohammadian (Editor), Xin Yao (Editor)

Book Description

ISBN-10: 0792376544 | ISBN-13: 978-0792376545 | Publication Date: January 1, 2002 | Edition: 1

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.

Editorial Reviews

Review

From the reviews: "The book contains 17 chapters written by leading experts in evolutionary computation. … Of special value is the analysis of evolutionary algorithms on pseudo-Boolean functions, given by Ingo Wegener. He and his coauthors are the first, who proved substantially sharp results on the expected run time and the success probability for evolutionary algorithms with (respectively without) crossover, giving sharp upper and lower bounds." (Hartmut Noltemeier, Zentralblatt MATH, Vol. 1072 (23), 2005)

Product Details

• Hardcover: 432 pages
• Publisher: Springer; 1 edition (January 1, 2002)
• Language: English
• ISBN-10: 0792376544
• ISBN-13: 978-0792376545
• Product Dimensions: 9.5 x 6.3 x 1.1 inches
• Shipping Weight: 1.8 pounds (View shipping rates and policies)
• Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #5,376,115 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

2 of 2 people found the following review helpful:

5.0 out of 5 stars EAs for Optimization, May 14, 2003

By A Customer

This review is from: Evolutionary Optimization (International Series in Operations Research & Management Science) (Hardcover)

Its a great book which covers cross disciplinary research outcomes. The book is designed like a text book although the chapters were written by different leading researchers in the world. It covers from basic optimizations concepts to complex applications of EAs to theoretical and practical optimization problems. The book is suitable for new researcher or post-grade students in Operations Research / Management Science, Optimization, Industrial Engineering and Computer Science.