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.
