Decision Support Systems Using Ensemble Genetic Programming

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

  author =       "Ajith Abraham and Crina Grosan",
  title =        "Decision Support Systems Using Ensemble Genetic
  journal =      "Journal of Information \& Knowledge Management
  year =         "2006",
  volume =       "5",
  number =       "4",
  pages =        "303--313",
  month =        dec,
  note =         "Special topic: Knowledge Discovery Using Advanced
                 Computational Intelligence Tools",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, Decision support systems,
                 ensemble systems, evolutionary multi-objective
  ISSN =         "0219-6492",
  DOI =          "doi:10.1142/S0219649206001566",
  abstract =     "This paper proposes a decision support system for
                 tactical air combat environment using a combination of
                 unsupervised learning for clustering the data and an
                 ensemble of three well-known genetic programming
                 techniques to classify the different decision regions
                 accurately. The genetic programming techniques used
                 are: Linear Genetic programming (LGP), Multi-Expression
                 Programming (MEP) and Gene Expression Programming
                 (GEP). The clustered data are used as the inputs to the
                 genetic programming algorithms. Some simulation results
                 demonstrating the difference of these techniques are
                 also performed. Test results reveal that the proposed
                 ensemble method performed better than the individual GP
                 approaches and that the method is efficient.",
  bibdate =      "2008-06-20",
  bibsource =    "DBLP,

Genetic Programming entries for Ajith Abraham Crina Grosan