Confidence Intervals for Computational Effort Comparisons

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  author =       "Matthew Walker and Howard Edwards and Chris Messom",
  title =        "Confidence Intervals for Computational Effort
  editor =       "Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and 
                 Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar",
  booktitle =    "Proceedings of the 10th European Conference on Genetic
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "4445",
  year =         "2007",
  address =      "Valencia, Spain",
  month =        "11-13 " # apr,
  pages =        "23--32",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-71602-5",
  isbn13 =       "978-3-540-71602-0",
  DOI =          "doi:10.1007/978-3-540-71605-1_3",
  abstract =     "When researchers make alterations to the genetic
                 programming algorithm they almost invariably wish to
                 measure the change in performance of the evolutionary
                 system. No one specific measure is standard, but Koza's
                 computational effort statistic is frequently used. In
                 this paper the use of Koza's statistic is discussed and
                 a study is made of three methods that produce
                 confidence intervals for the statistic. It is found
                 that an approximate 95percent confidence interval can
                 be easily produced.",
  notes =        "Part of \cite{ebner:2007:GP} EuroGP'2007 held in
                 conjunction with EvoCOP2007, EvoBIO2007 and

Genetic Programming entries for Matthew Walker Howard Edwards Chris Messom