Multi-objective Ant Programming for Mining Classification Rules

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

@InProceedings{olmo:2012:EuroGP,
  author =       "Juan Luis Olmo and Jose Raul Romero and 
                 Sebastian Ventura",
  title =        "Multi-objective Ant Programming for Mining
                 Classification Rules",
  booktitle =    "Proceedings of the 15th European Conference on Genetic
                 Programming, EuroGP 2012",
  year =         "2012",
  month =        "11-13 " # apr,
  editor =       "Alberto Moraglio and Sara Silva and 
                 Krzysztof Krawiec and Penousal Machado and Carlos Cotta",
  series =       "LNCS",
  volume =       "7244",
  publisher =    "Springer Verlag",
  address =      "Malaga, Spain",
  pages =        "146--157",
  organisation = "EvoStar",
  isbn13 =       "978-3-642-29138-8",
  DOI =          "doi:10.1007/978-3-642-29139-5_13",
  keywords =     "genetic algorithms, genetic programming, Data mining,
                 Classification, Ant programming, Multi-objective
                 optimisation",
  abstract =     "Ant programming (AP) is a kind of automatic
                 programming that generates computer programs by using
                 the ant colony optimization metaheuristic. It has
                 recently demonstrated a good generalisation ability
                 when extracting classification rules. We extend the
                 investigation on the application of AP to
                 classification, developing an algorithm that addresses
                 rules' evaluation using a novel multi-objective
                 approach specially devised for the classification task.
                 The algorithm proposed also incorporates an
                 evolutionary computing niching procedure to increment
                 the diversity of the population of programs found so
                 far. Results obtained by this algorithm are compared
                 with other three genetic programming algorithms and
                 other industry standard algorithms from different
                 areas, proving that multi-objective AP is a good
                 technique at tackling classification problems.",
  notes =        "Part of \cite{Moraglio:2012:GP} EuroGP'2012 held in
                 conjunction with EvoCOP2012 EvoBIO2012, EvoMusArt2012
                 and EvoApplications2012",
}

Genetic Programming entries for Juan Luis Olmo Jose Raul Romero Salguero Sebastian Ventura

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