By Zhipeng Lü, Jin-Kao Hao (auth.), Carlos Cotta, Peter Cowling (eds.)

This ebook constitutes the refereed lawsuits of the ninth eu convention on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2009, held in Tübingen, Germany, in April 2009.

The 21 revised complete papers offered have been conscientiously reviewed and chosen from fifty three submissions. The papers current the most recent learn and speak about present advancements and purposes in metaheuristics - a paradigm to successfully remedy tricky combinatorial optimization difficulties showing in numerous commercial, low-cost, and medical domain names. favourite examples of metaheuristics are evolutionary algorithms, simulated annealing, tabu seek, scatter seek, memetic algorithms, variable local seek, iterated neighborhood seek, grasping randomized adaptive seek systems, estimation of distribution algorithms and ant colony optimization.

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Extra info for Evolutionary Computation in Combinatorial Optimization: 9th European Conference, EvoCOP 2009, Tübingen, Germany, April 15-17, 2009. Proceedings

Example text

On the other hand, they have to keep their storage as small as possible for various economic reasons. Storage space itself is expensive, but more importantly by adding additional capacity to the stock, the complexity of administration increases substantially. Therefore, the demand for (semi-)automatic warehouse management systems arises. Beside keeping computerized inventory lists additional planning tasks can be transferred to the computer system. For example, lists containing all articles to be reordered can be automatically generated.

2 Assignment of Articles to Tours One crucial point of our algorithm is the assignment of articles to selections such that in a second step walks through the warehouse can be computed. Nevertheless, the capacity constraints stated by the trolleys as well as the maximum number of available trolleys nT have to be regarded during this allocation step. Construction Heuristic. For quickly initializing our algorithm we developed a construction method called collision avoiding heuristic (CAH). e. m selections are generated.

28 4 M. R. Raidl, and T. Misar A Hybrid Variable Neighborhood Search Approach Based on the fact that the problem examined within this paper is strongly related to the VRP, we expect that exact approaches are limited to relatively small instances. In addition, short computation times are important, since the observation was made that new orders are committed continuously by customers which implies that the algorithm is restarted frequently. Since recently highly effective variable neighborhood search (VNS) [7] approaches have been reported for diverse variants of the VRP [8,9] we also based our approach on a similar concept.

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