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Titlebook: Metaheuristics:; Progress as Real Pro Toshihide Ibaraki,Koji Nonobe,Mutsunori Yagiura Book 2005 Springer-Verlag US 2005 Automat.Optimizatio

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Speeding Up Local Search Neighborhood Evaluation for A Multi-Dimensional Knapsack Problemiques is based on storing some form of sorted information on the problem in order to quickly determine the best move to make. Each technique requires varying amounts of memory and pre-processing time. Computational experiments found that all these techniques improved the computational performance of
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Metaheuristic Agent Processes (MAPS)egration necessary to produce MAPs. In addition, we identify a particular class of discrete optimization models that exhibits useful links to agent-based systems, and whose successful applications invite further exploration within the MAP context.
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Multi-Objective Hyper-Heuristic Approaches for Space Allocation and Timetablingnot to solve the problem directly but rather to (iteratively) recommend a suitable heuristic chosen because of its performance. In this paper we investigate a tabu search hyper-heuristic technique. The idea of our multi-objective hyper-heuristic approach is to choose, at each iteration during the se
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Theory and Practice of the Minimum Shift Design Problemysis on structured random instances shows that the hybrid heuristic clearly outperforms an existing commercial implementation and highlights the respective merits of the composing heuristics for different performance parameters.
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Ana Viana,Jorge P. Sousa,Manuel A. Matos a general introduction either to formal semantics or to linguistics and while much of the presentation there is going over ground that is already well covered 978-90-277-1892-1978-94-015-6932-3Series ISSN 0924-4662 Series E-ISSN 2215-034X
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