Evolutionary Computation in Combinatorial Optimization

Evolutionary Computation in Combinatorial Optimization

  • Peter Merz
  • Jin-Kao Hao
Publisher:SpringerISBN 13: 9783642203640ISBN 10: 3642203647

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Evolutionary Computation in Combinatorial Optimization is written by Peter Merz and published by Springer. It's available with International Standard Book Number or ISBN identification 3642203647 (ISBN 10) and 9783642203640 (ISBN 13).

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.