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文章基本信息

  • 标题:COPULA FOR ESTIMATION OF DISTRIBUTION ALGORITHM BASED ON GOODNESS-OF-FIT TEST
  • 本地全文:下载
  • 作者:JIA BAOJUN ; WANG LIFANG ; CUI ZHIHUA
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2013
  • 卷号:47
  • 期号:3
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Inappropriate probabilistic model in the Estimation of Distribution Algorithm will reduce the quality of the solution, so goodness of fit test is introduced into Estimation of Distribution Algorithm to improve it. By means of test to select more suitable copula function under the statistical significance, that is to select more appropriate probability model under the statistical significance to solve the optimization problem. This modified Estimation of Distribution Algorithm improves the performance of the algorithm. The experimental results show the effectiveness of the proposed algorithm.
  • 关键词:Estimation of Distribution Algorithm; Goodness of Fit; Probability Model; Copula
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