A Survey on the Application of Genetic Programming to Classification

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  author =       "Pedro G. Espejo and Sebastian Ventura and 
                 Francisco Herrera",
  title =        "A Survey on the Application of Genetic Programming to
  journal =      "IEEE Transactions on Systems, Man, and Cybernetics,
                 Part C: Applications and Reviews",
  year =         "2010",
  month =        mar,
  volume =       "40",
  number =       "2",
  pages =        "121--144",
  keywords =     "genetic algorithms, genetic programming,
                 Classification, decision trees, ensemble classifiers,
                 feature construction, feature selection, rule-based
  abstract =     "Classification is one of the most researched questions
                 in machine learning and data mining. A wide range of
                 real problems have been stated as classification
                 problems, for example credit scoring, bankruptcy
                 prediction, medical diagnosis, pattern recognition,
                 text categorization, software quality assessment, and
                 many more. The use of evolutionary algorithms for
                 training classifiers has been studied in the past few
                 decades. Genetic programming (GP) is a flexible and
                 powerful evolutionary technique with some features that
                 can be very valuable and suitable for the evolution of
                 classifiers. This paper surveys existing literature
                 about the application of genetic programming to
                 classification, to show the different ways in which
                 this evolutionary algorithm can help in the
                 construction of accurate and reliable classifiers.",
  DOI =          "doi:10.1109/TSMCC.2009.2033566",
  ISSN =         "1094-6977",
  notes =        "Also known as \cite{5340522}",

Genetic Programming entries for Pedro Gonzalez Espejo Sebastian Ventura Francisco Herrera