Evolutionary Computation in Combinatorial Optimization | 9th European Conference, EvoCOP 2009, Tübingen, Germany, April 15-17, 2009, Proceedings

Carlos Cotta (u. a.)

ISBN 10: 3642010083 / ISBN 13: 9783642010088

Verlag: Springer, 2009

Evolutionary Computation in Combinatorial Optimization | 9th European Conference, EvoCOP 2009, Tübingen, Germany, April 15-17, 2009, Proceedings | Carlos Cotta (u. a.) | Taschenbuch | xiv | Englisch | 2009 | Springer | EAN 9783642010088 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Bestandsnummer des Verkäufers 101626105

Inhaltsangabe:

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.

Von der hinteren Coverseite:

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.

Bibliografische Details

Titel: Evolutionary Computation in Combinatorial ...
Verlag: Springer
Erscheinungsdatum: 2009
Einband: Taschenbuch
Zustand: Neu