A Comparative Analysis of Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Una-May O'Reilly and Franz Oppacher",
  title =        "A Comparative Analysis of Genetic Programming",
  booktitle =    "Advances in Genetic Programming 2",
  publisher =    "MIT Press",
  year =         "1996",
  editor =       "Peter J. Angeline and K. E. {Kinnear, Jr.}",
  pages =        "23--44",
  chapter =      "2",
  address =      "Cambridge, MA, USA",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-262-01158-1",
  URL =          "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6277528",
  size =         "22 pages",
  abstract =     "In order to analyze Genetic Programming (GP), this
                 chapter compares it with two alternative adaptive
                 search algorithms, Simulated Annealing (SA) and
                 Stochastic Iterated Hill Climbing (SIHC). SIHC and SA
                 are used to solve program discovery problems posed in
                 the style of GP. In separate versions they employ
                 either GP's crossover operator or a mutation operator.
                 The comparisons in terms of likelihood of success and
                 efficiency show them to be effective. Based upon their
                 success, hybrid versions of GP and hill climbing are
                 designed that improve upon a canonical version of GP.
                 Program discovery practitioners may find it useful to
                 coherently view all the algorithms this chapter
                 considers by using the perspective of evolution.",

Genetic Programming entries for Una-May O'Reilly Franz Oppacher