Probabilistic distribution models for EDA-based GP

Authors:
Kohsuke Yanai;Hitoshi Iba
Affiliations:
University of Tokyo, Chiba, Japan;University of Tokyo, Chiba, Japan
Venue:
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Year:
2005

Citing 1
Cited 1

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Abstract

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.