Evolutionary Operator Self-Adaptation with Diverse Operators

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InProceedings{kim:2012:EuroGP,
  author =       "MinHyeok Kim and Robert Ian (Bob) McKay and 
                 Dong-Kyun Kim and Xuan Hoai Nguyen",
  title =        "Evolutionary Operator Self-Adaptation with Diverse
                 Operators",
  booktitle =    "Proceedings of the 15th European Conference on Genetic
                 Programming, EuroGP 2012",
  year =         "2012",
  month =        "11-13 " # apr,
  editor =       "Alberto Moraglio and Sara Silva and 
                 Krzysztof Krawiec and Penousal Machado and Carlos Cotta",
  series =       "LNCS",
  volume =       "7244",
  publisher =    "Springer Verlag",
  address =      "Malaga, Spain",
  pages =        "230--241",
  organisation = "EvoStar",
  isbn13 =       "978-3-642-29138-8",
  doi =          "doi:10.1007/978-3-642-29139-5_20",
  keywords =     "genetic algorithms, genetic programming, Adaptive
                 operator selection, Adaptive pursuit, Probability
                 matching, Multi-armed bandit, Evolutionary algorithm",
  abstract =     "Operator adaptation in evolutionary computation has
                 previously been applied to either small numbers of
                 operators, or larger numbers of fairly similar ones.
                 This paper focuses on adaptation in algorithms offering
                 a diverse range of operators. We compare a number of
                 previously-developed adaptation strategies, together
                 with two that have been specifically designed for this
                 situation. Probability Matching and Adaptive Pursuit
                 methods performed reasonably well in this scenario, but
                 a strategy combining aspects of both performed better.
                 Multi-Arm Bandit techniques performed well when
                 parameter settings were suitably tailored to the
                 problem, but this tailoring was difficult, and
                 performance was very brittle when the parameter
                 settings were varied.",
  notes =        "Part of \cite{Moraglio:2012:GP} EuroGP'2012 held in
                 conjunction with EvoCOP2012 EvoBIO2012, EvoMusArt2012
                 and EvoApplications2012",
}

Genetic Programming entries for MinHyeok Kim R I (Bob) McKay Dong-Kyun Kim Nguyen Xuan Hoai