| Evolutionary Computation in Combinatorial Optimization: 9th European Conference, Evocop 2009, Tübingen, Germany, April 15-17, 2009, Proceedings 2009 Edition Contributor(s): Cotta, Carlos (Editor), Cowling, Peter I. (Editor) |
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ISBN: 3642010083 ISBN-13: 9783642010088 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: April 2009 Annotation: This book constitutes the refereed proceedings of the 9th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2009, held in TA1/4bingen, Germany, in April 2009. The 21 revised full papers presented were carefully reviewed and selected from 53 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. |
| Additional Information |
| BISAC Categories: - Computers | Computer Science - Mathematics | Discrete Mathematics - Mathematics | Game Theory |
| Dewey: 519.3 |
| Series: Lecture Notes in Computer Science / Theoretical Computer Sci |
| Physical Information: 0.7" H x 6.1" W x 9.1" (0.90 lbs) 253 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This book constitutes the refereed proceedings of the 9th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2009, held in T bingen, Germany, in April 2009. The 21 revised full papers presented were carefully reviewed and selected from 53 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. |