Top Down Modelling with Genetic Programming

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

  author =       "Daniel Howard",
  title =        "Top Down Modelling with Genetic Programming",
  booktitle =    "Proceedings of the 8th International Conference on
                 Knowledge-Based Intelligent Information and Engineering
                 Systems Conference, KES 2004, Part III",
  year =         "2004",
  editor =       "Mircea Gh. Negoita and Robert J. Howlett and 
                 Lakhmi C. Jain",
  series =       "Lecture Notes in Artificial Intelligence",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, top down
  volume =       "3215",
  pages =        "217--223",
  month =        sep # " 20-25",
  ISBN =         "3-540-23205-2",
  DOI =          "doi:10.1007/b100916",
  size =         "7 pages",
  abstract =     "explores the connection between top down modelling and
                 the artificial intelligence (AI) technique of Genetic
                 Programming (GP). It provides examples to illustrate
                 how the author and colleagues took advantage of this
                 connection to solve real world problems. Following this
                 account, the paper speculates about how GP may be
                 developed further to meet more challenging real world
                 problems. It calls for novel applications of GP to
                 quantify a top down design in order to make rapid
                 progress with the understanding of organisations.",

Genetic Programming entries for Daniel Howard