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Hybridizing Surrogate Techniques, Rough Sets and Evolutionary Algorithms to Efficiently Solve Multi-Objective Optimization Problems

机译：混合代理技术，粗糙集和进化算法有效地解决多目标优化问题

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Luis V. Santana-quintero; Carlos A. Coello Coello; Alfredo G;
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年度 2010
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4. Hybridization of Independent Component Analysis, Rough Sets, and Multi-Objective Evolutionary Algorithms for Classificatory Decomposition of Cortical Evoked Potentials [C] . Tomasz G. Smolinski, Grzegorz M. Boratyn, Mariofanna Milanova, International Workshop on Pattern Recognition in Bioinformatics(PRIB 2006); 20060820; Hong Kong(CN) . 2006

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Hybridizing Surrogate Techniques, Rough Sets and Evolutionary Algorithms to Efficiently Solve Multi-Objective Optimization Problems

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