Robustness and Evolvability of Recombination in Linear Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Ting Hu and Wolfgang Banzhaf and Jason H. Moore",
  title =        "Robustness and Evolvability of Recombination in Linear
                 Genetic Programming",
  booktitle =    "Proceedings of the 16th European Conference on Genetic
                 Programming, EuroGP 2013",
  year =         "2013",
  month =        "3-5 " # apr,
  editor =       "Krzysztof Krawiec and Alberto Moraglio and Ting Hu and 
                 A. Sima Uyar and Bin Hu",
  series =       "LNCS",
  volume =       "7831",
  publisher =    "Springer Verlag",
  address =      "Vienna, Austria",
  pages =        "97--108",
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming, Robustness,
                 Evolvability, Accessibility, Neutrality,
  isbn13 =       "978-3-642-37206-3",
  DOI =          "doi:10.1007/978-3-642-37207-0_9",
  abstract =     "The effect of neutrality on evolutionary search is
                 known to be crucially dependent on the distribution of
                 genotypes over phenotypes. Quantitatively
                 characterising robustness and evolvability in genotype
                 and phenotype spaces greatly helps to understand the
                 influence of neutrality on Genetic Programming. Most
                 existing robustness and evolvability studies focus on
                 mutations with a lack of investigation of recombination
                 operations. Here, we extend a previously proposed
                 quantitative approach of measuring mutational
                 robustness and evolvability in Linear GP. By
                 considering a simple LGP system that has a compact
                 representation and enumerable genotype and phenotype
                 spaces, we quantitatively characterise the robustness
                 and evolvability of recombination at the phenotypic
                 level. In this simple yet representative LGP system, we
                 show that recombinational properties are correlated
                 with mutational properties. Using a population
                 evolution experiment, we demonstrate that recombination
                 significantly accelerates the evolutionary search
                 process and particularly promotes robust phenotypes
                 that innovative phenotypic explorations.",
  notes =        "Part of \cite{Krawiec:2013:GP} EuroGP'2013 held in
                 conjunction with EvoCOP2013, EvoBIO2013, EvoMusArt2013
                 and EvoApplications2013",

Genetic Programming entries for Ting Hu Wolfgang Banzhaf Jason H Moore