Using Factorial Experiments to Evaluate the Effect of Genetic Programming Parameters

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

  author =       "Robert Feldt and Peter Nordin",
  title =        "Using Factorial Experiments to Evaluate the Effect of
                 Genetic Programming Parameters",
  booktitle =    "Genetic Programming, Proceedings of EuroGP'2000",
  year =         "2000",
  editor =       "Riccardo Poli and Wolfgang Banzhaf and 
                 William B. Langdon and Julian F. Miller and Peter Nordin and 
                 Terence C. Fogarty",
  volume =       "1802",
  series =       "LNCS",
  pages =        "271--282",
  address =      "Edinburgh",
  publisher_address = "Berlin",
  month =        "15-16 " # apr,
  organisation = "EvoNet",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming: Poster",
  ISBN =         "3-540-67339-3",
  URL =          "",
  URL =          "",
  URL =          "",
  DOI =          "doi:10.1007/978-3-540-46239-2_20",
  abstract =     "Statistical techniques for designing and analyzing
                 experiments are used to evaluate the individual and
                 combined effects of genetic programming parameters.
                 Three binary classification problems are investigated
                 in a total of seven experiments consisting of 1108 runs
                 of a machine code genetic programming system. The
                 parameters having the largest effect in these
                 experiments are the population size and the number of
                 generations. A large number of parameters have
                 negligible effects. The experiments indicate that the
                 investigated genetic programming system is robust to
                 parameter variations, with the exception of a few
                 important parameters.",
  notes =        "EuroGP'2000, part of \cite{poli:2000:GP}",

Genetic Programming entries for Robert Feldt Peter Nordin