The multi-population genetic evolutionary optimization algorithm and its application to mechanical optimization

被引：0

作者：

Luo, Youxin ^{[1
]}

Che, Xiaoyi ^{[1
]}

Xiao, Weiyue ^{[1
]}

机构：

[1] College of Mechanical Engineering, Hunan University of Arts and Science, Changde, 415000, China

来源：

Electronic Journal of Geotechnical Engineering | 2014年 / 19 L卷

关键词：

D O I：

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摘要：

To overcome the problem of low convergence speed and sensitivity to local convergence with the traditional Genetic Algorithm (GA) to handle complex functions, a novel compound evolutionary algorithm, namely, Multiple Population Genetic Evolutionary Optimization Algorithm (MPGA) , was introduced and selecting parameters are given. MPGA algorithm program was also developed. The computing example of mechanical optimization design shows that this algorithm has no special requirements on the characteristics of optimal designing problems, which has a fairly good universal adaptability and a reliable operation of program with a strong ability of overall convergence and high efficiency. © 2014 ejge.

引用

页码：2605 / 2610

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