Self-Adaptive Crossover in Genetic Programming: The Case of the Tartarus Problem

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

@InProceedings{Griffiths:2018:PPSN,
  author =       "Thomas D. Griffiths and Aniko Ekart",
  title =        "Self-Adaptive Crossover in Genetic Programming: The
                 Case of the {Tartarus} Problem",
  booktitle =    "15th International Conference on Parallel Problem
                 Solving from Nature",
  year =         "2018",
  editor =       "Anne Auger and Carlos M. Fonseca and Nuno Lourenco and 
                 Penousal Machado and Luis Paquete and Darrell Whitley",
  volume =       "11101",
  series =       "LNCS",
  pages =        "236--246",
  address =      "Coimbra, Portugal",
  month =        "8-12 " # sep,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming,
                 Self-adaptation, Crossover, Tartarus problem",
  isbn13 =       "978-3-319-99252-5",
  URL =          "https://www.springer.com/gp/book/9783319992587",
  DOI =          "doi:10.1007/978-3-319-99253-2_19",
  abstract =     "The runtime performance of many evolutionary
                 algorithms depends heavily on their parameter values,
                 many of which are problem specific. Previous work has
                 shown that the modification of parameter values at
                 runtime can lead to significant improvements in
                 performance. In this paper we discuss both the
                 ‘when’ and ‘how’ aspects of implementing
                 self-adaptation in a Genetic Programming system,
                 focusing on the crossover operator. We perform
                 experiments on Tartarus Problem instances and find that
                 the runtime modification of crossover parameters at the
                 individual level, rather than population level,
                 generate solutions with superior performance, compared
                 to traditional crossover methods.",
  notes =        "PPSN2018 http://ppsn2018.dei.uc.pt

                 This two-volume set LNCS 11101 and 11102 constitutes
                 the refereed proceedings of the 15th International
                 Conference on Parallel Problem Solving from Nature,
                 PPSN 2018",
}

Genetic Programming entries for Thomas D Griffiths Aniko Ekart

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