Evolutionary Learning of Boolean Queries by Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  title =        "Evolutionary Learning of {Boolean} Queries by Genetic
  author =       "Suhail S. J. Owais and Pavel Kromer and 
                 Vaclav Snasel",
  year =         "2005",
  editor =       "Johann Eder and Hele-Mai Haav and Ahto Kalja and 
                 Jaan Penjam",
  publisher =    "CEUR-WS.org",
  series =       "CEUR Workshop Proceedings",
  volume =       "152",
  booktitle =    "ADBIS 2005, Advances in Databases and Information
                 Systems, Communications of the Ninth East-European
                 Conference on Advances in Databases and Information
  address =      "Tallinn, Estonia",
  month =        sep # " 12-15",
  bibdate =      "2005-11-23",
  bibsource =    "DBLP,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-152/paper3.pdf",
  size =         "12 pages",
  abstract =     "The performance of an information retrieval system is
                 usually measured in terms of two different criteria,
                 precision and recall. This way, the optimisation of any
                 of its components is a clear example of a multi
                 objective problem. However, although evolutionary
                 programming have been widely applied in the information
                 retrieval area, in all of these applications both
                 criteria have been combined in a single scalar fitness
                 function by means of a weighting scheme. In this paper,
                 we deal with using of Genetic Programming in
                 Information retrieval specially in optimizing of a
                 Boolean query.",

Genetic Programming entries for Suhail S J Owais Pavel Kromer Vaclav Snasel