Individualized self-adaptive genetic operators with adaptive selection in Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Jeannie Fitzgerald and Conor Ryan",
  title =        "Individualized self-adaptive genetic operators with
                 adaptive selection in Genetic Programming",
  booktitle =    "5th World Congress on Nature and Biologically Inspired
                 Computing (NaBIC 2013)",
  year =         "2013",
  editor =       "Simone Ludwig and Patricia Melin and Ajith Abraham and 
                 Ana Maria Madureira and Kendall Nygard and 
                 Oscar Castillo and Azah Kamilah Muda and Kun Ma and 
                 Emilio Corchado",
  pages =        "232--237",
  address =      "Fargo, USA",
  month =        "12-14 " # aug,
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming, Self
                 Adaptive, Geneteic Algorithm, Adaptive Selection",
  isbn13 =       "978-1-4799-1415-9",
  URL =          "",
  DOI =          "doi:10.1109/NaBIC.2013.6617868",
  size =         "6 pages",
  abstract =     "In this paper we investigate a new method for
                 improving generalization performance of Genetic
                 Programming(GP) on Binary Classification tasks. The
                 scheme of self adaptive, individualized genetic
                 operators combined with adaptive tournament size is
                 designed to provide balanced, self-adaptive exploration
                 and exploitation. We test this scheme on several
                 benchmark Binary Classification problems and find that
                 the proposed techniques deliver superior performance
                 when compared with both a tuned GP configuration and a
                 feedback adaptive GP implementation.",
  notes =        "USB only?, IEEE Catalog Number: CFP1395H-POD Also
                 known as \cite{6617868}",

Genetic Programming entries for Jeannie Fitzgerald Conor Ryan