An Analysis of Diversity of Constants of Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4394

  author =       "Conor Ryan and Maarten Keijzer",
  title =        "An Analysis of Diversity of Constants of 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 =        "404--413",
  address =      "Essex",
  publisher_address = "Berlin",
  month =        "14-16 " # apr,
  organisation = "EvoNet",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming: Poster",
  ISBN =         "3-540-00971-X",
  URL =          "",
  DOI =          "doi:10.1007/3-540-36599-0_38",
  abstract =     "This paper conducts an investigation into the manner
                 in which constants evolve during the course of GP run.
                 It starts by describing an intuitive Gaussian type
                 mutation for constants and showing that its ability to
                 produce small changes in individuals leads to a high
                 performance. It then demonstrates the surprising result
                 that, in a selection of real world problems, simple
                 random mutation performs better. The paper then
                 finishes with an analysis of the diversity of constants
                 in the population, and the manner in which this changes
                 over time.",
  notes =        "EuroGP'2003 held in conjunction with EvoWorkshops

Genetic Programming entries for Conor Ryan Maarten Keijzer