Self-configuring genetic programming algorithm with modified uniform crossover

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  title =        "Self-configuring genetic programming algorithm with
                 modified uniform crossover",
  author =       "Eugene Semenkin and Maria Semenkina",
  pages =        "2501--2506",
  booktitle =    "Proceedings of the 2012 IEEE Congress on Evolutionary
  year =         "2012",
  editor =       "Xiaodong Li",
  month =        "10-15 " # jun,
  DOI =          "doi:10.1109/CEC.2012.6256587",
  size =         "6 pages",
  address =      "Brisbane, Australia",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming,
                 Self-adaptation in evolutionary computations, elective
                 pressure recombination, self-configuration, symbolic
                 regression, classification",
  abstract =     "For genetic programming algorithms new variants of
                 uniform crossover operators that introduce selective
                 pressure on the recombination stage are proposed.
                 Operators probabilistic rates based approach to GP
                 self-configuration is suggested. Proposed modifications
                 usefulness is demonstrated on benchmark test and real
                 world problems.",
  notes =        "WCCI 2012. CEC 2012 - A joint meeting of the IEEE, the
                 EPS and the IET.",

Genetic Programming entries for Eugene Semenkin Maria Semenkina