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Advances in Metaheuristics for Hard Optimization

Advances in Metaheuristics for Hard Optimization

Paperback

Series: Natural Computing

General ComputersGeneral Mathematics

ISBN10: 3642092063
ISBN13: 9783642092060
Publisher: Springer
Published: Nov 22 2010
Pages: 481
Weight: 1.53
Height: 1.01 Width: 6.14 Depth: 9.21
Language: English

Many advances have been made recently in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and metaheuristics. The book gathers contributions related to the following topics: theoretical developments in metaheuristics; adaptation of discrete metaheuristics to continuous optimization; performance comparisons of metaheuristics; cooperative methods combining different approaches; parallel and distributed metaheuristics for multiobjective optimization; software implementations; and real-world applications. This book is suitable for practitioners, researchers and graduate students in disciplines such as optimization, heuristics, operations research, and natural computing.

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