Genetic Programming with Embedded Features of Symbolic Computations

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Yaroslav V. Borcheninov and Yuri S. Okulovsky",
  title =        "Genetic Programming with Embedded Features of Symbolic
  booktitle =    "KDIR International Conference on Knowledge Discovery
                 and Information Retrieval",
  year =         "2011",
  editor =       "Joaquim Filipe and Ana L. N. Fred",
  pages =        "476--479",
  address =      "Paris, France",
  month =        "26-29 " # oct,
  publisher =    "SciTePress",
  keywords =     "genetic algorithms, genetic programming: poster",
  isbn13 =       "978-989-8425-79-9",
  DOI =          "doi:10.5220/0003682004760479",
  abstract =     "Genetic programming is a methodology, widely used in
                 data mining for obtaining the analytic form that
                 describes a given experimental data set. In some cases,
                 genetic programming is complemented by symbolic
                 computations that simplify found expressions. We
                 propose to unify the induction of genetic programming
                 with the deduction of symbolic computations in one
                 genetic algorithm. Our approach was implemented as the
                 .NET library and successfully tested at various data
                 mining problems: function approximation, invariants
                 finding and classification.",
  notes =        "Paper Nr: 126
  bibdate =      "2012-05-04",
  bibsource =    "DBLP,

Genetic Programming entries for Yaroslav V Borcheninov Yuri S Okulovsky