Adaption of Operator Probabilities in Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

  author =       "Jens Niehaus and Wolfgang Banzhaf",
  title =        "Adaption of Operator Probabilities in Genetic
  booktitle =    "Genetic Programming, Proceedings of EuroGP'2001",
  year =         "2001",
  editor =       "Julian F. Miller and Marco Tomassini and 
                 Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and 
                 William B. Langdon",
  volume =       "2038",
  series =       "LNCS",
  pages =        "325--336",
  address =      "Lake Como, Italy",
  publisher_address = "Berlin",
  month =        "18-20 " # apr,
  organisation = "EvoNET",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming, Adaptation,
                 Adaption, Structure Optimisation: Poster",
  ISBN =         "3-540-41899-7",
  URL =          "",
  URL =          "",
  DOI =          "doi:10.1007/3-540-45355-5_26",
  size =         "12 pages",
  abstract =     "In this work we tried to reduce the number of free
                 parameters within Genetic Programming without reducing
                 the quality of the results. We developed three new
                 methods to adapt the probabilities, different genetic
                 operators are applied with. Using two problems from the
                 areas of symbolic regression and classification we
                 showed that the results in these cases were better than
                 randomly chosen parameter sets and could compete with
                 parameter sets chosen with empirical knowledge.

  notes =        "EuroGP'2001, part of \cite{miller:2001:gp}",

Genetic Programming entries for Jens Niehaus Wolfgang Banzhaf