Artificial Intelligence

    

Multi Expression Programming

Authors: Mihai Oltean, D. Dumitrescu

Multi Expression Programming (MEP) is a new evolutionary paradigm intended for solving computationally difficult problems. MEP individuals are linear entities that encode complex computer programs. MEP chromosomes are represented in the same way as C or Pascal compilers translate mathematical expressions into machine code. MEP is used for solving some difficult problems like symbolic regression and game strategy discovering. MEP is compared with Gene Expression Programming (GEP) and Cartesian Genetic Programming (CGP) by using several well-known test problems. For the considered problems MEP outperforms GEP and CGP. For these examples MEP is two magnitude orders better than CGP.

Comments: 28 Pages. Technical Report, Babes-Bolyai Univ. 2002

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[v1] 2021-11-30 05:11:44

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