PhenoGP: Combining Programs to Avoid Code Disruption

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "Cyril Fonlupt and Denis Robilliard",
  title =        "PhenoGP: Combining Programs to Avoid Code Disruption",
  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 =        "49--60",
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-37206-3",
  DOI =          "doi:10.1007/978-3-642-37207-0_5",
  abstract =     "In conventional Genetic Programming (GP), n programs
                 are simultaneously evaluated and only the best programs
                 will survive from one generation to the next. It is a
                 pity as some programs might contain useful code that
                 might be hidden or not evaluated due to the presence of
                 introns. For example in regression, zero times (perfect
                 code) will unfortunately not be assigned a good fitness
                 and this program might be discarded due to the
                 evolutionary process. In this paper, we develop a new
                 form of GP called PhenoGP (PGP). PGP individuals
                 consist of ordered lists of programs to be executed in
                 which the ultimate goal is to find the best order from
                 simple building-blocks programs. If the fitness remains
                 stalled during the run, new building-blocks programs
                 are generated. PGP seems to compare fairly well with
                 canonical GP.",
  notes =        "Part of \cite{Krawiec:2013:GP} EuroGP'2013 held in
                 conjunction with EvoCOP2013, EvoBIO2013, EvoMusArt2013
                 and EvoApplications2013",

Genetic Programming entries for Cyril Fonlupt Denis Robilliard