Marginal Distribution in Copula Estimation of Distribution Algorithm Based Dynamic K-S test
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.
Keywords: Estimation of Distribution Algorithms based on copula (copula EDA); Dynamic K-S test; the marginal distribution function
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ABOUT THE AUTHORS
Zhao Hui
Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Taiyuan, Shanxi, 030024, China
Wang Lifang
Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Taiyuan, Shanxi, 030024, China
Zhao Hui
Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Taiyuan, Shanxi, 030024, China
Wang Lifang
Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Taiyuan, Shanxi, 030024, China