Evolutionary Computation in Combinatorial Optimization: 9th European Conference, EvoCOP 2009, T�bingen, Germany, April 15-17, 2009, Proceedings . . . . Issues) (Lecture Notes in Computer Science)

Carlos Cotta

ISBN 10: 3642010083 / ISBN 13: 9783642010088

Editore: Springer 2009-04-02, 2009

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Codice articolo 6666-IUK-9783642010088

Dati bibliografici

• Titolo: Evolutionary Computation in Combinatorial Optimization: 9th European Conference, EvoCOP 2009, T�bingen, Germany, April 15-17, 2009, Proceedings . . . . Issues) (Lecture Notes in Computer Science)
• Editore: Springer 2009-04-02
• Data di pubblicazione: 2009
• Lingua: Inglese
• ISBN 10: 3642010083
• ISBN 13: 9783642010088
• Rilegatura: Paperback
• Condizione: New

Descrizione articolo

Riassunto

Metaheuristics have been shown to be e?ective for di?cult combinatorial op- mization problems appearing in a wide variety of industrial, economic, and sci- ti?c domains. Prominent examples of metaheuristics are evolutionary algorithms, tabu search, simulated annealing, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, ant colony optimization, and estimation of distribution algorithms. Problems solved successfully include scheduling, timetabling, network design, transportation and distribution, vehicle routing, the travelling salesman problem, packing and cutting, satis?ability, and general mixed integer programming. EvoCOP began in 2001 and has been held annually since then. It is the ?rst event speci?cally dedicated to the application of evolutionary computation and related methods to combinatorial optimization problems. Originally held as a workshop, EvoCOP became a conference in 2004. The events gave researchers an excellent opportunity to present their latest research and to discuss current - velopments and applications. Following the general trend of hybrid metaheur- tics and diminishing boundaries between the di?erent classes of metaheuristics, EvoCOP has broadened its scope in recent years and invited submissions on any kind of metaheuristic for combinatorial optimization.

Dalla quarta di copertina

This book constitutes the refereed proceedings of the 9th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2009, held in Tübingen, 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.