Design and analysis of asymptotic probabilistic genetic algorithm

机译：渐近概率遗传算法的设计与分析

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This paper proposes the modification of probabilistic genetic algorithm, which uses genetic operators, effecting not on particular solutions, but on the probabilities distribution of solution vector's components. This paper also compares reliability and efficiency of basic algorithm and proposed modification using the set of benchmark functions.

机译：本文提出了一种概率遗传算法的改进方法，该算法使用遗传算子，不仅影响特定的解，而且影响解矢量分量的概率分布。本文还比较了基本算法的可靠性和效率以及使用基准函数集提出的修改方案。

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《2011 Seventh International Conference on Natural Computation》|2011年|p.1082-1086|共5页
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Galushin P. V.; Semenkina O. E.;
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正文语种
中图分类理论、方法;
关键词
genetic algorithm; mutation; probability distribution; selection;

机译：遗传算法变异概率分布选择;

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Design and analysis of asymptotic probabilistic genetic algorithm

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