同时利用高质量和低质量个体的分布估计算法

Yi Hong, Guopu Zhu, S. Kwong, Qingsheng Ren
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引用次数: 12

摘要

为了证明低质量个体对估计分布算法的有用性,在几个基准问题上测试了同时使用高质量个体和低质量个体的估计分布算法,并将其结果与仅使用高质量个体的估计分布算法的结果进行了比较。实验结果证实了低质量个体对提高分布估计算法搜索速度的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of distribution algorithms making use of both high quality and low quality individuals
To demonstrate the usefulness of low quality individuals for estimation of distribution algorithms, estimation of distribution algorithms using both high quality and low quality individuals are tested on several benchmark problems and their results are compared with those obtained by estimation of distribution algorithms where only high quality individuals are used. The usefulness of low quality individuals for speeding up the search of estimation of distribution algorithms is confirmed by the experimental results.
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