Combining semantically-effective and geometric crossover operators for Genetic Programming

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

  author =       "Tomasz Pawlak",
  title =        "Combining semantically-effective and geometric
                 crossover operators for Genetic Programming",
  booktitle =    "13th International Conference on Parallel Problem
                 Solving from Nature",
  year =         "2014",
  editor =       "Thomas Bartz-Beielstein and Juergen Branke and 
                 Bogdan Filipic and Jim Smith",
  publisher =    "Springer",
  isbn13 =       "978-3-319-10761-5",
  pages =        "454--464",
  series =       "Lecture Notes in Computer Science",
  address =      "Ljubljana, Slovenia",
  month =        "13-17 " # sep,
  volume =       "8672",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1007/978-3-319-10762-2_45",
  abstract =     "We propose a way to combine two distinct general
                 patterns for designing semantic crossover operators for
                 genetic programming: geometric semantic approach and
                 semantically-effective approach. In the experimental
                 part we show the synergistic effects of combining these
                 two approaches, which we explain by a major fraction of
                 crossover acts performed by geometric semantic
                 crossover operators being semantically ineffective. The
                 results of the combined approach show significant
                 improvement of performance and high resistance to a
                 premature convergence.",
  notes =        "",

Genetic Programming entries for Tomasz Pawlak