Evolutionary Computation and the Tinkerer's Evolving Toolbox

Created by W.Langdon from gp-bibliography.bib Revision:1.4031

  author =       "Philip G. K. Reiser",
  title =        "Evolutionary Computation and the Tinkerer's Evolving
  booktitle =    "Proceedings of the First European Workshop on Genetic
  year =         "1998",
  editor =       "Wolfgang Banzhaf and Riccardo Poli and 
                 Marc Schoenauer and Terence C. Fogarty",
  volume =       "1391",
  series =       "LNCS",
  pages =        "209--219",
  address =      "Paris",
  publisher_address = "Berlin",
  month =        "14-15 " # apr,
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-64360-5",
  URL =          "http://www.stancomb.co.uk/~prr/Papers/eurogp.ps",
  URL =          "http://www.stancomb.co.uk/~prr/Papers/eurogp.pdf",
  DOI =          "doi:10.1007/BFb0055940",
  abstract =     "In nature, variation mechanisms have evolved that
                 permit increasingly rapid and complex adaptations to
                 the environment. Similarly, it may be observed that
                 evolutionary learning systems are adopting increasingly
                 sophisticated variation mechanisms. In this paper, we
                 draw parallels between the adaptation mechanisms in
                 nature and those in evolutionary learning systems.
                 Extrapolating this trend, we indicate an interesting
                 new direction for future work on evolutionary learning
  notes =        "EuroGP'98",
  affiliation =  "Centre for Intelligent Systems, University of Wales,
                 Aberystwyth, Wales, UK",

Genetic Programming entries for Philip G K Reiser