Hybrid Metaheuristics: An Emerging Approach To Optimization

byChristian BlumEditorAndrea Roli, Michael Sampels

Paperback | November 25, 2010

Hybrid Metaheuristics: An Emerging Approach To Optimization by Christian Blum
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Optimization problems are of great importance in many fields. They can be tackled, for example, by approximate algorithms such as metaheuristics. Examples of metaheuristics are simulated annealing, tabu search, evolutionary computation, iterated local search, variable neighborhood search, and ant colony optimization. In recent years it has become evident that a skilled combination of a metaheuristic with other optimization techniques, a so called hybrid metaheuristic, can provide a more efficient behavior and a higher flexibility. This is because hybrid metaheuristics combine their advantages with the complementary strengths of, for example, more classical optimization techniques such as branch and bound or dynamic programming.

The authors involved in this book are among the top researchers in their domain. The book is intended both to provide an overview of hybrid metaheuristics to novices of the field, and to provide researchers from the field with a collection of some of the most interesting recent developments.

Title:Hybrid Metaheuristics: An Emerging Approach To OptimizationFormat:PaperbackProduct dimensions:290 pages, 9.25 X 6.1 X 0 inShipping dimensions:290 pages, 9.25 X 6.1 X 0 inPublished:November 25, 2010Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642096972

ISBN - 13:9783642096976

Appropriate for ages: All ages

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