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Taguchi Method Based Parametric Study of Generalized Generation Gap Genetic Algorithm Model

机译:基于Taguchi方法的广义生成间隙遗传算法模型的参数研究

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In this paper, a parametric study of Generalized Generation Gap (G3) Genetic Algorithm (GA) model with Simplex crossover (SPX) using Taguchi method has been presented. Population size, number of parents and offspring pool size are considered as design factors with five levels. The analysis of mean factor is conducted to find the influence of design factors and their optimal combination for six benchmark functions. The experimental results suggest more experiments on granularity of design factor levels for better performance efficacy.
机译:在本文中,已经介绍了使用Taguchi方法的单纯x交叉(SPX)的广义产生间隙(G3)遗传算法(GA)模型的参数研究。人口规模,父母数量和后代池大小被视为有五个层次的设计因素。对平均因子进行分析,以找到设计因素的影响及其对六个基准功能的最佳组合。实验结果表明了更好的性能效能的设计因子水平粒度的实验。

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