文章基本信息

标题：An Adaptive Membrane Evolutionary Algorithm for Solving Constrained Engineering Optimization Problems
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作者：Jianhua Xiao ; Ying Liu ; Shuai Zhang 等
期刊名称：Journal of Universal Computer Science
印刷版ISSN：0948-6968
出版年度：2017
卷号：23
期号：7
页码：652-672
出版社：Graz University of Technology and Know-Center
摘要：In this paper, an adaptive membrane evolutionary algorithm (AMEA) is proposed, which combines a dynamic membrane structure and a differential evolution with the adaptive mutation factor. In the AMEA, the feasibility proportion method is used to dynamically adjust the size of the elementary membrane in the optimization process. The results of the experimental indicate that the proposed algorithm outperforms other evolutionary algorithms on five well-known constrained engineering optimization problems.