Review of Classification Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{Jabeen:2010:IJEST,
  author =       "Hajira Jabeen and Abdul Rauf Baig",
  title =        "Review of Classification Using Genetic Programming",
  journal =      "International Journal of Engineering Science and
                 Technology",
  year =         "2010",
  volume =       "2",
  number =       "2",
  pages =        "94--103",
  month =        feb,
  keywords =     "genetic algorithms, genetic programming, Data
                 Classification, Survey, Taxonomy",
  ISSN =         "0975-5462",
  URL =          "http://www.ijest.info/docs/IJEST10-02-02-06.pdf",
  abstract =     "Genetic programming (GP) is a powerful evolutionary
                 algorithm introduced to evolve computer programs
                 automatically. It is a domain independent, stochastic
                 method with an important ability to represent programs
                 of arbitrary size and shape. Its flexible nature has
                 attracted numerous researchers in data mining community
                 to use GP for classification. In this paper we have
                 reviewed and analyzed tree based GP classification
                 methods and propose taxonomy of these methods. We have
                 also discussed various strengths and weaknesses of the
                 technique and provide a framework to optimize the task
                 of GP based classification.",
  notes =        "National University of Computer and Emerging Sciences,
                 Islamabad, Pakistan",
}

Genetic Programming entries for Hajira Jabeen Abdul Rauf Baig

Citations