@book{c67ef2ee46d944959f923e4951e24aa9,
title = "Evolutionary Optimization",
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.",
keywords = "algorithms, evolutionary algorithm, formal logic, genetic algorithms, heuristics, intelligence, multi-objective optimization, optimization, programming",
author = "Ruhul SARKER and Masoud MOHAMMADIAN and Xin YAO",
year = "2002",
doi = "10.1007/b101816",
language = "English",
isbn = "9780792376545",
series = "International Series in Operations Research & Management Science",
publisher = "Springer New York",
address = "United States",
}