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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摘要

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：本文提出了概率遗传算法的修改，该遗传算法使用遗传算子，而不是特定解决方案的影响，而是对解决方案载体组件的概率分布。本文还比较了基础算法的可靠性和效率，并使用该组基准函数进行了修改。

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《International Conference on Natural Computation》|2011年||共5页
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Galushin P. V.; Semenkina O. E.;
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原文格式 PDF
正文语种
中图分类 TP301-53;
关键词
genetic algorithm; mutation; probability distribution; selection;

机译：遗传算法;突变;概率分布;选择;

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Design and analysis of asymptotic probabilistic genetic algorithm

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