Evolving Genetic Programming Classifiers with Loop Structures

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  title =        "Evolving Genetic Programming Classifiers with Loop
  author =       "Fahmi Abdulhamid and Andy Song and 
                 Kourosh Neshatian and Mengjie Zhang",
  pages =        "2710--2717",
  booktitle =    "Proceedings of the 2012 IEEE Congress on Evolutionary
  year =         "2012",
  editor =       "Xiaodong Li",
  month =        "10-15 " # jun,
  DOI =          "doi:10.1109/CEC.2012.6252877",
  address =      "Brisbane, Australia",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming, Conflict of
                 Interest Papers, Classification, clustering, data
                 analysis and data mining",
  abstract =     "Loop structure is a fundamental flow control in
                 programming languages for repeating certain operations.
                 It is not widely used in Genetic Programming as it
                 introduces extra complexity in the search. However in
                 some circumstances, including a loop structure may
                 enable GP to find better solutions. This study
                 investigates the benefits of loop structures in
                 evolving GP classifiers. Three different loop
                 representations are proposed and compared with other GP
                 methods and a set of traditional classification
                 methods. The results suggest that the proposed loop
                 structures can outperform other methods. Additionally
                 the evolved classifiers can be small and simple to
                 interpret. Further analysis on a few classifiers shows
                 that they indeed have captured genuine characteristics
                 from the data for performing classification.",
  notes =        "WCCI 2012. CEC 2012 - A joint meeting of the IEEE, the
                 EPS and the IET.",

Genetic Programming entries for Fahmi Abdulhamid Andy Song Kourosh Neshatian Mengjie Zhang