A Comparison of Crossover and Mutation in Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

  author =       "Sean Luke and Lee Spector",
  title =        "A Comparison of Crossover and Mutation in Genetic
  booktitle =    "Genetic Programming 1997: Proceedings of the Second
                 Annual Conference",
  editor =       "John R. Koza and Kalyanmoy Deb and Marco Dorigo and 
                 David B. Fogel and Max Garzon and Hitoshi Iba and 
                 Rick L. Riolo",
  year =         "1997",
  month =        "13-16 " # jul,
  keywords =     "genetic algorithms, genetic programming",
  pages =        "240--248",
  address =      "Stanford University, CA, USA",
  publisher_address = "San Francisco, CA, USA",
  publisher =    "Morgan Kaufmann",
  URL =          "http://www.cs.gmu.edu/~sean/papers/comparison/comparison.pdf",
  URL =          "http://www.cs.gmu.edu/~sean/papers/comparison/comparison.ps.gz",
  abstract =     "This paper presents a large and systematic body of
                 data on the relative effectiveness of mutation,
                 crossover, and combinations of mutation and crossover
                 in genetic programming (GP). The literature of
                 traditional genetic algorithms contains related
                 studies, but mutation and crossover in GP differ from
                 their traditional counterparts in significant ways. In
                 this paper we present the results from a very large
                 experimental data set, the equivalent of approximately
                 12,000 typical runs of a GP system, systematically
                 exploring a range of parameter settings. The resulting
                 data may be useful not only for practitioners seeking
                 to optimize parameters for GP runs, but also for
                 theorists exploring issues such as the role of
                 {"}building blocks{"} in GP.",
  notes =        "GP-97. 6-mux, lawn mower, symbolic regression, Santa
                 Fe trail artificial ant. See alse

                 The Gzipped PostScript version (.ps.gz) does not come
                 with figures; to get the figures for the PostScript
                 version, use the figures URLs below",
  figures =      "http://www.cs.gmu.edu/~sean/papers/comparison/figures1-2.ps.gz",
  figures =      "http://www.cs.gmu.edu/~sean/papers/comparison/figures3-4.ps.gz",

Genetic Programming entries for Sean Luke Lee Spector