Constrained Evolutionary Optimization

Masoud Mohammadian, Xin Yao, Ruhul Sarker, Thomas Philip Runarsson

Research output: A Conference proceeding or a Chapter in BookChapterpeer-review


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 includes critical reviews of the state-of-art of those evolutionary computation techniques which have been found particularly useful for OR/MS problems, and a collection of papers which represent the latest development in tackling various OR/MS problems by evolutionary computation techniques. This special volume of the book series on Evolutionary optimization 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
Title of host publicationEvolutionary Optimization
Place of PublicationUSA
Number of pages25
ISBN (Electronic)978-0-306-48041-6
ISBN (Print)978-0-7923-7654-5
Publication statusPublished - 2002


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