Review of Classification Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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/abstract.php?file=10-02-02-06",
• URL = "http://www.ijest.info/docs/IJEST10-02-02-06.pdf",
• size = "10 pages",
• 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