并行进化算法中的变大小种群

5th International Conference on Intelligent Systems Design and Applications (ISDA'05) Pub Date : 2005-09-08 DOI:10.1109/ISDA.2005.99

Gabriela F. Minetti, Hugo Alfonso

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引用次数: 10

摘要

考虑到种群规模是进化计算中定义的一个关键参数，本文提出了一种改进的并行进化算法，该算法结合了不同的机制来适应种群规模的现状。这些机制基于适应度改进遗传算法(PRoFIGA)和可变种群大小(GAVaPS)。结果表明，这些合并是一个合理的选择，当细化的解决方案是必要的。

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Variable size population in parallel evolutionary algorithms

Considering the population size is a critical parameter to define in evolutionary computation, in this paper an improved parallel evolutionary algorithm that incorporates different mechanisms to adapt the population size to the current status, is presented. Those mechanisms are based on resizing on fitness improvement GA (PRoFIGA) and variable population size (GAVaPS). Results indicate these incorporations are a reasonable choice when refinement in solutions is necessary.

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5th International Conference on Intelligent Systems Design and Applications (ISDA'05)

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