Produktnummer:
183760272a3e764894b9605469f9d09965
Themengebiete: | algorithms evolutionary algorithm formal logic genetic algorithms heuristics intelligence multi-objective optimization optimization programming |
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Veröffentlichungsdatum: | 23.03.2013 |
EAN: | 9781475775709 |
Sprache: | Englisch |
Seitenzahl: | 418 |
Produktart: | Kartoniert / Broschiert |
Herausgeber: | Mohammadian, Masoud Sarker, Ruhul Xin Yao |
Verlag: | Springer US |
Produktinformationen "Evolutionary Optimization"
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.

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