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Lecture Notes in Computer Science
This paper introduces the Gaussian polytree estimation of distribution algorithm, a new construction method, and its application to estimation of distribution algorithms in continuous variables. The variables are assumed to be Gaussian. The construction of the tree and the edges orientation algorithm are based on information theoretic concepts such as mutual information and conditional mutual information. The proposed Gaussian polytree estimation of distribution algorithm is applied to a set ofdoi:10.1007/978-3-642-25330-0_15 fatcat:ddk6l7geavbgpmkcce5yiicvc4