Building Ecological Models Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Yin Shan and Robert Ian McKay and David Paull",
  title =        "Building Ecological Models Using Genetic Programming",
  booktitle =    "Proceedings of the 4th Asia-Pacific Conference on
                 Simulated Evolution And Learning (SEAL'02)",
  year =         "2002",
  editor =       "Lipo Wang and Kay Chen Tan and Takeshi Furuhashi and 
                 Jong-Hwan Kim and Xin Yao",
  address =      "Orchid Country Club, Singapore",
  month =        "18-22 " # nov,
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "981-04-7522-5",
  URL =          "",
  URL =          "",
  size =         "5 pages",
  abstract =     "This paper reports on preliminary research using
                 genetic programming (GP) to model the spatial
                 distribution of an endangered Australian marsupial, the
                 southern brown bandicoot(Isoodon obesulus). GP is
                 compared in this work with classical decision tree
                 learning. The models built by GP are surprisingly
                 robust, generalising significantly better than those
                 built by decision trees.",
  notes =        "SEAL 2002 see

Genetic Programming entries for Yin Shan R I (Bob) McKay David Paull