Advances in Metaheuristics for Hard Optimization (Natural Computing Series)
Language: English
Published by Springer, 2007
Series: Book 7 of 32 - Natural Computing
- Hardcover
- Used

Seller: Masalai Press, Oakland, CA, U.S.A.Masalai Press
AbeBooks seller since December 28, 2011
Condition: Used - Fine
US$ 59.99
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Add to basketItem description from seller
479 pp., illustrations, bibliography, index. 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 various 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.…
Seller Inventory # 3540729593EVANS031516
- Title
- Advances in Metaheuristics for Hard Optimization (Natural Computing Series)
- Author
- Zbigniew Michalewicz
- Publisher
- Springer
- Publication year
- 2007
- Condition
- Fine
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3540729593
- ISBN 13
- 9783540729594
- Series
- Book 7 of 32: Natural Computing
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 various 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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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 various 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.
"About the title" may belong to another edition of this title.
Masalai Press
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