Operator Self-Adaptation in Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "MinHyeok Kim and Robert Ian (Bob) McKay and 
                 Nguyen Xuan Hoai and Kangil Kim",
  title =        "Operator Self-Adaptation in Genetic Programming",
  booktitle =    "Proceedings of the 14th European Conference on Genetic
                 Programming, EuroGP 2011",
  year =         "2011",
  month =        "27-29 " # apr,
  editor =       "Sara Silva and James A. Foster and Miguel Nicolau and 
                 Mario Giacobini and Penousal Machado",
  series =       "LNCS",
  volume =       "6621",
  publisher =    "Springer Verlag",
  address =      "Turin, Italy",
  pages =        "215--226",
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-20406-7",
  DOI =          "doi:10.1007/978-3-642-20407-4_19",
  abstract =     "We investigate the application of adaptive operator
                 selection rates to Genetic Programming. Results confirm
                 those from other areas of evolutionary algorithms:
                 adaptive rate selection out-performs non-adaptive
                 methods, and among adaptive methods, adaptive pursuit
                 out-performs probability matching. Adaptive pursuit
                 combined with a reward policy that rewards the overall
                 fitness change in the elite worked best of the
                 strategies tested, though not uniformly on all
  notes =        "Part of \cite{Silva:2011:GP} EuroGP'2011 held in
                 conjunction with EvoCOP2011 EvoBIO2011 and

Genetic Programming entries for MinHyeok Kim R I (Bob) McKay Nguyen Xuan Hoai Kangil Kim