Automatic Adaption of Operator Probabilities in Genetic Algorithms with Offspring Selection

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Stefan Wagner and Michael Affenzeller and 
                 Andreas Scheibenpflug",
  title =        "Automatic Adaption of Operator Probabilities in
                 Genetic Algorithms with Offspring Selection",
  booktitle =    "Computer Aided Systems Theory, EUROCAST 2015",
  year =         "2015",
  editor =       "Roberto Moreno-Diaz and Franz Pichler and 
                 Alexis Quesada-Arencibia",
  volume =       "9520",
  series =       "Lecture Notes in Computer Science",
  pages =        "433--438",
  address =      "Las Palmas, Gran Canaria, Spain",
  month =        feb,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-319-27340-2",
  URL =          "",
  DOI =          "doi:10.1007/978-3-319-27340-2_54",
  abstract =     "When offspring selection is applied in genetic
                 algorithms, multiple crossover and mutation operators
                 can be easily used together as crossover and mutation
                 results of insufficient quality are discarded in the
                 additional selection step after creating new solutions.
                 Therefore, the a priori choice of appropriate crossover
                 and mutation operators becomes less critical and it
                 even turned out that multiple operators reduce the
                 bias, broaden the search, and thus lead to higher
                 solution quality in the end. However, using crossover
                 and mutation operators which often produce solutions
                 not passing the offspring selection criterion also
                 increases the selection pressure and consequently the
                 number of evaluated solutions.",

Genetic Programming entries for Stefan Wagner Michael Affenzeller Andreas Scheibenpflug