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  • 标题:Marginal Distribution in Copula Estimation of Distribution Algorithm Based Dynamic K-S test
  • 本地全文:下载
  • 作者:Zhao Hui ; Wang Lifang
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2012
  • 卷号:9
  • 期号:6
  • 出版社:IJCSI Press
  • 摘要:Estimation of distribution algorithms based on copula, and a number of different distribution functions were selected as the dimension of the marginal distribution function by applying K-S test. Dynamic K-S test, that is, dynamic adjust frequency of K-S test in different stages. In the estimation of the probability model stage, according to the actual distribution of the dominant group respectively subject to inspection of the distribution function of each dimension. In the parameter estimation stage, according to fix the copula function parameters to make the emulation experiment. According to the obedience of the different marginal distribution function to sample separately, thus increasing the diversity of the population, and improving an execution efficiency of the estimation of distribution algorithms based on copula.
  • 关键词:Estimation of Distribution Algorithms based on copula (copula EDA); Dynamic K;S test; the marginal distribution function
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