Genetic programming as a feature selection algorithm

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

  author =       "Ranyart R. Suarez and Jose Maria Valencia-Ramirez and 
                 Mario Graff",
  booktitle =    "IEEE International Autumn Meeting on Power,
                 Electronics and Computing (ROPEC 2014)",
  title =        "Genetic programming as a feature selection algorithm",
  year =         "2014",
  month =        nov,
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/ROPEC.2014.7036345",
  size =         "5 pages",
  abstract =     "Genetic Programming (GP) is an Evolutionary Algorithm
                 commonly used to evolve computer programs in order to
                 solve a particular task. Therefore, GP has been used to
                 tackle different problems like classification and
                 regression. In this work, the capabilities of GP in
                 other types of problems are explored, particularly the
                 feature selection problem. For this purpose, GP is
                 applied to a set of benchmark problems, and, then,
                 compared to other algorithms. The results obtained show
                 that GP is competitive against the other algorithms,
                 and in addition to this, no modifications are needed to
                 perform the feature extraction task.",
  notes =        "Also known as \cite{7036345}",

Genetic Programming entries for Ranyart Rodrigo Suarez Jose Maria Valencia-Ramirez Mario Graff Guerrero