Bayesian Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{zhang:1999:fogp,
  author =       "Byoung-Tak Zhang",
  title =        "Bayesian Genetic Programming",
  booktitle =    "Foundations of Genetic Programming",
  year =         "1999",
  editor =       "Thomas Haynes and William B. Langdon and 
                 Una-May O'Reilly and Riccardo Poli and Justinian Rosca",
  pages =        "68--70",
  address =      "Orlando, Florida, USA",
  month =        "13 " # jul,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/fogp/fogp99zhang.ps.gz",
  URL =          "http://bi.snu.ac.kr/Publications/Conferences/International/FOGP99.ps",
  URL =          "http://citeseer.ist.psu.edu/455364.html",
  size =         "3 pages",
  abstract =     "Introduction Genetic programming (GP) provides a
                 powerful tool for learning models of some unknown
                 process from specific fitness cases. Models are
                 typically represented as tree-structured programs, and
                 thus GP has a wide range of application domains.
                 However, the general applicability of GP suffers from
                 large amount of space and time required for generating
                 intermediate solutions.",
  notes =        "GECCO'99 WKSHOP, part of \cite{haynes:1999:fogp}",
}

Genetic Programming entries for Byoung-Tak Zhang

Citations