Evolutionary Computation in Combinatorial Optimization
Language: English
Published by Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 2011
- Softcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
£ 56.44
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Add to basketItem description from seller
This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2011, held in Torino, Italy, in April 2011. The 22 revised full papers presented were carefully reviewed and selected from 42 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various industrial, economical, and scientific domains. Prominent examples of metaheuristics are evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distribution algorithms, and ant colony optimization.
Seller Inventory # LU-9783642203633
- Title
- Evolutionary Computation in Combinatorial Optimization
- Author
- Peter Merz
- Publisher
- Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE
- Publication year
- 2011
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 3642203639
- ISBN 13
- 9783642203633
- Edition
- 2011th.
- Item weight
- 426 grams
- Dimensions
- 15.49 x 1.63 x 23.5 cm
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2011, held in Torino, Italy, in April 2011. The 22 revised full papers presented were carefully reviewed and selected from 42 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various industrial, economical, and scientific domains. Prominent examples of metaheuristics are evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distribution algorithms, and ant colony optimization.
"About the title" may belong to another edition of this title.
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London, London, United Kingdom
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