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SGE: A Structured Representation for Grammatical Evolution

  • Nuno LourençoEmail author
  • Francisco B. Pereira
  • Ernesto Costa
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9554)

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.

Keywords

Genetic Programming Production Rule Derivation Tree Grammatical Evolution Executable Program 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work was partially supported by Fundação para a Ciência e Tecnologia (FCT), Portugal, under the grant SFRH/BD/79649/2011.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Nuno Lourenço
    • 1
    Email author
  • Francisco B. Pereira
    • 1
    • 2
  • Ernesto Costa
    • 1
  1. 1.CISUC, Department of Informatics EngineeringUniversity of CoimbraCoimbraPortugal
  2. 2.Polytechnic Institute of CoimbraCoimbraPortugal

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