SGE: A structured representation for grammatical evolution

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Abstract

This paper introduces Structured Grammatical Evolution, a new genotypic representation for Grammatical Evolution, where each gene is explicitly linked to a non-terminal of the grammar being used. This one-to-one correspondence ensures that the modification of a gene does not affect the derivation options of other non-terminals, thereby increasing locality. The performance of the new representation is accessed on a set of benchmark problems. The results obtained confirm the effectiveness of the proposed approach, as it is able to outperform standard grammatical evolution on all selected optimization problems.

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Lourenço, N., Pereira, F. B., & Costa, E. (2016). SGE: A structured representation for grammatical evolution. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9554, pp. 136–148). Springer Verlag. https://doi.org/10.1007/978-3-319-31471-6_11

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