异种变长基因型的进化优化

S. Sakka
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引用次数: 1

摘要

本文研究优化问题的进化规划问题。该算法操作基因型中包含异构数据(整数和浮点数)的染色体,这些数据相互依赖。此外,在同一进化过程中,染色体的长度是不同的。描述了进化算法,并将优化结果与先前实现的方法进行了比较。对该算法在问题维数变化时的稳定性进行了测试和讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Heterogeneous variable-length genotypes for evolutionary optimization
This paper deals with evolutionary programming for optimization problems. The algorithm manipulates chromosomes of which genotypes contains heterogeneous data (integer and float numbers), depending on each other. Moreover, length of the chromosomes is different within a common evolution. The evolutionary algorithm is described and optimization results are compared to the previously implemented methodology. Stability of the algorithm facing a change of problem dimensions is also tested and discussed.
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