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Probabilistic distribution models for EDA-based GP
2005
Proceedings of the 2005 conference on Genetic and evolutionary computation - GECCO '05
This paper proposes a novel technique for a program evolution based on probabilistic models. In the proposed method, two probabilistic distribution models with probabilistic dependencies between variables are used together. We empirically comfirm that our proposed method has higher search performance. Thereafter, we discuss the effectiveness of its distribution models.
doi:10.1145/1068009.1068305
dblp:conf/gecco/YanaiI05
fatcat:tsenwquxb5d2nkmt2jwplz5rui