Probabilistic distribution models for EDA-based GP

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.

• Type: Conference
• Year: 2005
• Where: GECCO
• Authors: Kohsuke Yanai, Hitoshi Iba
• Keywords: GECCO 2005, Probabilistic Dependencies, Probabilistic Distribution Models, Probabilistic Models