Evolutionary Optimization

Ruhul Sarker (Curatore)

Masoud Mohammadian (Curatore)

Springer, 2002

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.

• Curatore: Ruhul Sarker, Masoud Mohammadian
• Editore: Springer
• Collana: International Series in Operations Research & Management Science
• Anno: 2002
• Rilegatura: Hardback
• Pagine: 418 p.
• Dimensioni: 235 x 155 mm
• EAN: 9780792376545

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