Document Clustering with Evolutionary Systems through Straight-Line Programs "slp"

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Jose Luis {Castillo Sequera} and 
                 Jose Raul {Fernandez del Castillo Diez} and Leon {Gonzalez Sotos}",
  title =        "Document Clustering with Evolutionary Systems through
                 Straight-Line Programs {"}slp{"}",
  journal =      "Journal of Intelligent Learning Systems and
  year =         "2012",
  volume =       "4",
  number =       "4",
  pages =        "303--318",
  month =        nov,
  publisher =    "Scientific Research Publishing",
  keywords =     "genetic algorithms, genetic programming, Data Mining",
  ISSN =         "2150-8402",
  bibsource =    "OAI-PMH server at",
  language =     "eng",
  oai =          "oai:doaj-articles:83efc26a67e43dbab60578f576a76c3d",
  URL =          "",
  DOI =          "doi:10.4236/jilsa.2012.44032",
  size =         "16 pages",
  abstract =     "In this paper, we show a clustering method supported
                 on evolutionary algorithms with the paradigm of linear
                 genetic programming. The Straight-Line Programs slp,
                 which uses a data structure which will be useful to
                 represent collections of documents. This data structure
                 can be seen as a linear representation of programs, as
                 well as representations in the form of graphs. It has
                 been used as a theoretical model in Computer Algebra,
                 and our purpose is to reuse it in a completely
                 different context. In this case, we apply it to the
                 field of grouping library collections through
                 evolutionary algorithms. We show its efficiency with
                 experimental data we got from traditional library

Genetic Programming entries for Jose Luis Castillo Sequera Jose Raul Fernandez del Castillo Diez Leon Atilano Gonzalez Sotos