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A Conditional Dependency Based Probabilistic Model Building Grammatical Evolution
Hyun-Tae KIM Hyun-Kyu KANG Chang Wook AHN
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2016/07/01
Online ISSN: 1745-1361
Type of Manuscript: LETTER
Category: Artificial Intelligence, Data Mining
grammatical evolution, probabilistic modeling, context-free grammars, automatic program generation,
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In this paper, a new approach to grammatical evolution is presented. The aim is to generate complete programs using probabilistic modeling and sampling of (probability) distribution of given grammars. To be exact, probabilistic context free grammars are employed and a modified mapping process is developed to create new individuals from the distribution of grammars. To consider problem structures in the individual generation, conditional dependencies between production rules are incorporated into the mapping process. Experiments confirm that the proposed algorithm is more effective than existing methods.