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Titlebook: Learning and Intelligent Optimization; 5th International Co Carlos A. Coello Coello Conference proceedings 2011 Springer-Verlag GmbH Berlin

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楼主: Lipase
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On the Neutrality of Flowshop Scheduling Fitness Landscapestext of the permutation flowshop, a deep landscape analysis focused on the neutrality property is driven and propositions on the way to use this neutrality in order to guide the search efficiently are given.
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Conference proceedings 2011ial sessions; IMON: Intelligent Multiobjective OptimizatioN, LION-PP: Performance Prediction Self* EAs: Self-tuning, self-configuring and self-generating evolutionary algorithms LION-SWAP: Software and Applications.
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Improving Parallel Local Search for SATy generating a random configuration to start with, each algorithm aggregates the shared knowledge to carefully craft a new starting point. We present several aggregation strategies and evaluate them on a large set of problems.
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Solving the Two-Dimensional Bin Packing Problem with a Probabilistic Multi-start Heuristicprovided in the literature. The obtained experimental results show that the proposed algorithm returns excellent solutions. With an average percentage deviation of 1.8% from the best know lower bounds it outperformes the other algorithms by 1.1% − 5.7%. Also for 3 of the 500 instances we tested a new upper bound was found.
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Analyzing the Effect of Objective Correlation on the Efficient Set of MNK-Landscapesn into account. Here, we define a general method to design multiobjective problems with correlation. As an example, we extend the well-known multiobjective .-landscapes. By measuring different properties of the search space, we show the importance of considering the objective correlation on the design of metaheuristics.
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Conference proceedings 2011, LION 5, held in Rome, Italy, in January 2011.The 32 revised regular and 3 revised short papers were carefully reviewed and selected from a total of 99 submissions. In addition to the contributions to the general track there are 11 full papers and 3 short papers presented at the following four spec
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0302-9743 proceedings of the 5th International Conference on Learning and Intelligent Optimization, LION 5, held in Rome, Italy, in January 2011.The 32 revised regular and 3 revised short papers were carefully reviewed and selected from a total of 99 submissions. In addition to the contributions to the genera
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0302-9743 ION-PP: Performance Prediction Self* EAs: Self-tuning, self-configuring and self-generating evolutionary algorithms LION-SWAP: Software and Applications.978-3-642-25565-6978-3-642-25566-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
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