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- W2054909490 abstract "In this paper, a new Estimation of Distribution Algorithm (EDA) is presented. The proposed algorithm employs a dependency tree as a graphical model and bivariate copula functions for modeling relationships between pairwise variables. By selecting copula functions it is possible to build a very flexible joint distribution as a probabilistic model. The experimental results show that the proposed algorithm has a better performance than EDAs based on Gaussian assumptions." @default.
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- W2054909490 date "2011-07-12" @default.
- W2054909490 modified "2023-09-23" @default.
- W2054909490 title "Dependence trees with copula selection for continuous estimation of distribution algorithms" @default.
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- W2054909490 doi "https://doi.org/10.1145/2001576.2001657" @default.
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