More on Computational Effort Statistics for Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Jens Niehaus and Wolfgang Banzhaf",
  title =        "More on Computational Effort Statistics for Genetic
  booktitle =    "Genetic Programming, Proceedings of EuroGP'2003",
  year =         "2003",
  editor =       "Conor Ryan and Terence Soule and Maarten Keijzer and 
                 Edward Tsang and Riccardo Poli and Ernesto Costa",
  volume =       "2610",
  series =       "LNCS",
  pages =        "164--172",
  address =      "Essex",
  publisher_address = "Berlin",
  month =        "14-16 " # apr,
  organisation = "EvoNet",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-00971-X",
  URL =          "",
  DOI =          "doi:10.1007/3-540-36599-0_15",
  abstract =     "In this contribution we take a look at the
                 computational effort statistics as described by KOZA.
                 We transfer the notion from generational genetic
                 programming to tournament-selection (steady-state) GP
                 and show why, in both cases, the measured value of the
                 effort often differs from its theoretical counterpart.
                 It is discussed how systematic estimation errors are
                 introduced by a low number of experiments. Two reasons
                 examined are the number of unsuccessful experiments and
                 the variation in the number of fitness evaluations
                 necessary to find a solution among the successful
  notes =        "EuroGP'2003 held in conjunction with EvoWorkshops

Genetic Programming entries for Jens Niehaus Wolfgang Banzhaf