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  • 标题:Research on Model Beginning Standard of Multi-objective Evolutionary Algorithm Based on Entropy
  • 本地全文:下载
  • 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.
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