Evolutionary Optimization

Ruhul SARKER, Masoud MOHAMMADIAN, Xin YAO

Research output: Scholarly Books | Reports | Literary WorksBook (Author)peer-review

Abstract

Evolutionary computation techniques have attracted increasing att- tions in recent years for solving complex optimization problems. They are more robust than traditional methods based on formal logics or mathematical programming for many real world OR/MS problems. E- lutionary computation techniques can deal with complex optimization problems better than traditional optimization techniques. However, most papers on the application of evolutionary computation techniques to Operations Research /Management Science (OR/MS) problems have scattered around in different journals and conference proceedings. They also tend to focus on a very special and narrow topic. It is the right time that an archival book series publishes a special volume which - cludes critical reviews of the state-of-art of those evolutionary com- tation techniques which have been found particularly useful for OR/MS problems, and a collection of papers which represent the latest devel- ment in tackling various OR/MS problems by evolutionary computation techniques. This special volume of the book series on Evolutionary - timization aims at filling in this gap in the current literature. The special volume consists of invited papers written by leading - searchers in the field. All papers were peer reviewed by at least two recognised reviewers. The book covers the foundation as well as the practical side of evolutionary optimization.
Original languageEnglish
PublisherSpringer New York
Number of pages418
ISBN (Electronic)9780306480416
ISBN (Print)9780792376545
Publication statusPublished - 2002
Externally publishedYes

Publication series

NameInternational Series in Operations Research & Management Science
PublisherSpringer New York
Volume48
ISSN (Print)0884-8289
ISSN (Electronic)2214-7934

Keywords

  • algorithms
  • evolutionary algorithm
  • formal logic
  • genetic algorithms
  • heuristics
  • intelligence
  • multi-objective optimization
  • optimization
  • programming

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