Genetic Programming Approach to Benelearn 99: I

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

@InProceedings{langdon:1999:benelearn1,
  author =       "W. B. Langdon",
  title =        "Genetic Programming Approach to Benelearn 99: I",
  booktitle =    "The Benelearn 1999 Competition",
  year =         "1999",
  editor =       "Peter {van der Putten} and Maarten {van Someren}",
  pages =        "3.5",
  address =      "Sociaal-Wetenschappelijke Informatica, Universiteit
                 van Amsterdam",
  month =        "2 " # nov,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/WBL.benelearn2.99.pdf",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/WBL.benelearn1.99.ps.gz",
  size =         "3 pages",
  abstract =     "We briefly describe our first genetic programming
                 technique used to automatically evolve profiles of
                 potential insurance customers the task is part of the
                 Benelearn'99 competition. The information about
                 customers consists of 86 variables and includes product
                 usage data and socio-demographic data derived from zip
                 codes. The data was supplied by the Dutch data mining
                 company Sentient Machine Research, and is based on real
                 world business data. Profiles which correctly
                 identified more than 40 percent of customers were
                 automatically evolved using genetic programming.",
  notes =        "http://www.swi.psy.uva.nl/benelearn99/comppage.html

                 Note WBL.benelearn2.99.pdf contains version II update
                 (5 pages)",
}

Genetic Programming entries for William B Langdon

Citations