A Study of GP's Division Operators for Symbolic Regression

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Sprogar:2008:ICMLA,
  title =        "A Study of GP's Division Operators for Symbolic
                 Regression",
  author =       "Matej Sprogar",
  booktitle =    "Seventh International Conference on Machine Learning
                 and Applications, ICMLA '08",
  year =         "2008",
  month =        "11-13 " # dec,
  pages =        "286--291",
  address =      "La Jolla, San Diego, USA",
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming, symbol
                 manipulation division operators, symbolic regression",
  DOI =          "doi:10.1109/ICMLA.2008.84",
  size =         "6 pages",
  abstract =     "Article explores three possible implementations of the
                 division operator in genetic programming -- protected
                 division, division throwing an exception and division
                 returning an undefined result. The article proposes a
                 simple classification scheme and discusses the subtle
                 differences between operators. Results of a case study
                 on the well known binomial-3 problem are presented.
                 They suggest that the (most common) protected division
                 returning 1 is not always the safest bet.",
  notes =        "Open Beagle (not as lilGP ?). 4 types of division on
                 binomial-3 problem (x+1)**3
                 \cite{daida:1999:MSWMPGATDPGP}. Program sizes. Cited by
                 \cite{Ni:2012:ieeeTEC}.

                 Also known as \cite{4724988}",
}

Genetic Programming entries for Matej Sprogar

Citations