Two Self-Adaptive Crossover Operators for Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4020

  author =       "Peter J. Angeline",
  title =        "Two Self-Adaptive Crossover Operators for Genetic
  booktitle =    "Advances in Genetic Programming 2",
  publisher =    "MIT Press",
  year =         "1996",
  editor =       "Peter J. Angeline and K. E. {Kinnear, Jr.}",
  pages =        "89--110",
  chapter =      "5",
  address =      "Cambridge, MA, USA",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-262-01158-1",
  URL =          "",
  URL =          "",
  size =         "21 pages",
  abstract =     "Two self-adaptive crossover operations are studied in
                 a nonstandard genetic program. It is shown that for
                 three distinct problems the results obtained when using
                 either of the self-adaptive crossover operations are
                 equivalent or better than the results when using
                 standard GP crossover. A postmortem analysis of the
                 evolved values for the self-adaptive parameters
                 suggests that certain heuristics commonly used in
                 genetic programming may not be optimal.",
  notes =        "These were called Selective Self-Adaptive Crossover
                 and Self-adaptive Multi-Crossover.",

Genetic Programming entries for Peter John Angeline