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Representation is an open issue in GP (Genetic Programming) research area, having close relationships with its performance improvements. This paper introduces a novel GP framework called model-based grammatical evolution (MGE) as well as the principle it obeys. In MGE, individuals take the form of sequences of productions, therefore providing means for structural analysis and semantic reuses. To certify the effectiveness of MGE, comparisons with some other GP variants like classical grammatical evolution (CGE), integer representation GE are also conducted.

Genetic Programming, Grammatical Evolution, Model, Finite Sate Automaton