Adaptive Representations for Improving Evolvability, Parameter Control, and Parallelization of Gene Expression Programming

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@Article{Browne:2010:ACISC,
  author =       "Nigel P. A. Browne and Marcus V. {dos Santos}",
  title =        "Adaptive Representations for Improving Evolvability,
                 Parameter Control, and Parallelization of Gene
                 Expression Programming",
  journal =      "Applied Computational Intelligence and Soft
                 Computing",
  year =         "2010",
  volume =       "2010",
  pages =        "Article ID 409045",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming",
  URL =          "http://downloads.hindawi.com/journals/acisc/2010/409045.pdf",
  DOI =          "doi:10.1155/2010/409045",
  size =         "19 pages",
  abstract =     "Gene Expression Programming (GEP) is a genetic
                 algorithm that evolves linear chromosomes encoding
                 nonlinear (tree-like) structures. In the original GEP
                 algorithm, the genome size is problem specific and is
                 determined through trial and error. In this work, a
                 method for adaptive control of the genome size is
                 presented. The approach introduces mutation,
                 transposition, and recombination operators that enable
                 a population of heterogeneously structured chromosomes,
                 something the original GEP algorithm does not support.
                 This permits crossbreeding between normally
                 incompatible individuals, speciation within a
                 population, increases the evolvability of the
                 representations, and enhances parallel GEP. To test our
                 approach, an assortment of problems were used,
                 including symbolic regression, classification, and
                 parameter optimization. Our experimental results show
                 that our approach provides a solution for the problem
                 of self-adaptive control of the genome size of GEP's
                 representation.",
}

Genetic Programming entries for Nigel P A Browne Marcus Vinicius dos Santos

Citations