A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans

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@Article{Carmona:2015:IS,
  author =       "C. J. Carmona and V. Ruiz-Rodado and 
                 M. J. {del Jesus} and A. Weber and M. Grootveld and P. Gonzalez and 
                 D. Elizondo",
  title =        "A fuzzy genetic programming-based algorithm for
                 subgroup discovery and the application to one problem
                 of pathogenesis of acute sore throat conditions in
                 humans",
  journal =      "Information Sciences",
  volume =       "298",
  pages =        "180--197",
  year =         "2015",
  ISSN =         "0020-0255",
  DOI =          "doi:10.1016/j.ins.2014.11.030",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0020025514011116",
  size =         "18 pages",
  keywords =     "genetic algorithms, genetic programming, Subgroup
                 discovery, Evolutionary fuzzy system, Bioinformatics",
  abstract =     "This paper proposes a novel algorithm for subgroup
                 discovery task based on genetic programming and fuzzy
                 logic called Fuzzy Genetic Programming-based for
                 Subgroup Discovery (FuGePSD). The genetic programming
                 allows to learn compact expressions with the main
                 objective to obtain rules for describing simple,
                 interesting and interpretable subgroups. This algorithm
                 incorporates specific operators in the search process
                 to promote the diversity between the individuals. The
                 evolutionary scheme of FuGePSD is codified through the
                 genetic cooperative-competitive approach promoting the
                 competition and cooperation between the individuals of
                 the population in order to find out the optimal
                 solutions for the SD task. FuGePSD displays its
                 potential with high-quality results in a wide
                 experimental study performed with respect to others
                 evolutionary algorithms for subgroup discovery.
                 Moreover, the quality of this proposal is applied to a
                 case study related to acute sore throat problems.",
}

Genetic Programming entries for Cristobal Jose Carmona del Jesus Victor Ruiz-Rodado Maria Jose del Jesus A Weber Martin Grootveld Pedro Gonzalez Espejo David Elizondo

Citations