Automatic Learning of Multiple Extended Boolean Queries by Multiobjective GA-P Algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "O. Cordon and F. Moya and C. Zarco",
  title =        "Automatic Learning of Multiple Extended {Boolean}
                 Queries by Multiobjective GA-P Algorithms",
  booktitle =    "Fuzzy Logic and the Internet",
  publisher =    "PHYSICA-VERLAG",
  year =         "2004",
  editor =       "V. Loia and M. Nikravesh and L. A. Zadeh",
  volume =       "137",
  pages =        "47--70",
  address =      "Germany",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  DOI =          "doi:10.1007/978-3-540-39988-9_3",
  ISSN =         "1434-9922",
  abstract =     "In this contribution, a new Inductive Query by Example
                 process is proposed to automatically derive extended
                 Boolean queries for fuzzy information retrieval systems
                 from a set of relevant documents provided by a user.
                 The novelty of our approach is that it is able to
                 simultaneously generate several queries with a
                 different precision-recall tradeoff in a single run. To
                 do so, it is based on an advanced. evolutionary
                 algorithm, GA-P, specially designed to tackle with
                 multiobjective problems by means of a Pareto-based
                 multi-objective technique. The performance of the new
                 proposal will be tested on the usual Cranfield
                 collection and compared to the well-known Kraft et
                 al.'s process.",
  notes =        "English",

Genetic Programming entries for Oscar Cordon Felix de Moya Carmen Zarco Fernandez