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- W131534021 abstract "Sampling methods are a fundamental component of estimation of distribution algorithms (EDAs). In this paper we propose new methods for generating solutions in EDAs based on Markov networks. These methods are based on the combination of message passing algorithms with decimation techniques for computing the maximum a posteriori solution of a probabilistic graphical model. The performance of the EDAs on a family of non-binary deceptive functions shows that the introduced approach improves results achieved with the sampling methods traditionally used by EDAs based on Markov networks." @default.
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- W131534021 date "2013-01-01" @default.
- W131534021 modified "2023-09-27" @default.
- W131534021 title "Message Passing Methods for Estimation of Distribution Algorithms Based on Markov Networks" @default.
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- W131534021 doi "https://doi.org/10.1007/978-3-319-03756-1_38" @default.
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