Evolving Teams of Predictors with Linear Genetic Programming

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

@Article{brameier:2001:GPEM,
  author =       "Markus Brameier and Wolfgang Banzhaf",
  title =        "Evolving Teams of Predictors with Linear Genetic
                 Programming",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2001",
  volume =       "2",
  number =       "4",
  pages =        "381--407",
  month =        dec,
  keywords =     "genetic algorithms, genetic programming, evolution of
                 teams, combination of multiple predictors, linear
                 genetic programming",
  ISSN =         "1389-2576",
  URL =          "http://web.cs.mun.ca/~banzhaf/papers/teams.pdf",
  URL =          "http://citeseer.ist.psu.edu/508652.html",
  URL =          "http://citeseer.ist.psu.edu/411995.html",
  DOI =          "doi:10.1023/A:1012978805372",
  size =         "26 pages",
  abstract =     "This paper applies the evolution of GP teams to
                 different classification and regression problems and
                 compares different methods for combining the outputs of
                 the team programs. These include hybrid approaches
                 where (1) a neural network is used to optimize the
                 weights of programs in a team for a common decision and
                 (2) a real numbered vector (the representation of
                 evolution strategies) of weights is evolved with each
                 term in parallel. The cooperative team approach results
                 in an improved training and generalization performance
                 compared to the standard GP method. The higher
                 computational overhead of team evolution is
                 counteracted by using a fast variant of linear GP. In
                 particular, the processing time of linear genetic
                 programs is reduced significantly by removing intron
                 code before program execution.",
  notes =        "Article ID: 386363",
}

Genetic Programming entries for Markus Brameier Wolfgang Banzhaf

Citations