Group Classification Using a Mix of Genetic Programming and Genetic Algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Aaron Konstam",
  title =        "Group Classification Using a Mix of Genetic
                 Programming and Genetic Algorithms",
  booktitle =    "1998 ACM Symposium on Applied Computing",
  year =         "1998",
  editor =       "K. M. George",
  pages =        "308--312",
  address =      "Marriott Marquis, Atlanta, Georgia, U.S.A.",
  month =        "27 " # feb # "-1 " # mar,
  publisher =    "ACM",
  keywords =     "genetic algorithms, genetic programming,
                 classification, discriminant functions",
  ISBN =         "0-89791-969-6",
  URL =          "",
  URL =          "",
  DOI =          "doi:10.1145/330560.330712",
  acmid =        "330712",
  size =         "5 pages",
  abstract =     "The goal of this study was to develop an algorithm for
                 2-group classification by discriminant analysis using
                 genetic programming and genetic algorithms. This
                 algorithm was tested on both theoretical and real world
                 data. The genetic programming was used to find the
                 functional form of the discriminant function and the
                 genetic algorithms were then used to determine the
                 coefficients of the functional form that maximises the
                 classification of the data instances into the two
                 groups. The algorithms worked well, giving results that
                 were comparable to or better than competing
                 classification algorithms.",
  notes =        "SAC'98",

Genetic Programming entries for Aaron Konstam