文章基本信息

标题：Research on Model Beginning Standard of Multi-objective Evolutionary Algorithm Based on Entropy
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作者：Qiong Yuan ; Guangming Da
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2016
卷号：11
期号：7
页码：685-694
DOI：10.17706/jsw.11.7.685-694
出版社：Academy Publisher
摘要：Entropy is a measurement of the system’s degree of chaos, it has important applications in the field of control theory, probability theory, number theory, astrophysics and life sciences. In the process for multi-objective evolutionary algorithm to solve optimization problem, the distribution of individuals in the population goes from disorder to order. The paper introduces the entropy theory to multi-objective evolutionary and proposes an entropy calculation method to describe the population distribution, besides, it offers a method to judge the critical point, which can be used as a model beginning standard.
其他关键词：Multi-objective evolutionary algorithm, entropy, critical point, model beginning standard.