Hybridizing evolutionary algorithms for creating classifier ensembles

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Dufourq:2014:NaBIC,
  author =       "Emmanuel Dufourq and Nelishia Pillay",
  booktitle =    "Sixth World Congress on Nature and Biologically
                 Inspired Computing (NaBIC 2014)",
  title =        "Hybridizing evolutionary algorithms for creating
                 classifier ensembles",
  year =         "2014",
  month =        jul,
  pages =        "84--90",
  abstract =     "Genetic programming (GP) has been applied to solve
                 data classification problems numerous times in previous
                 studies and the findings in the literature confirm that
                 GP is able to perform well. In more recent studies,
                 researchers have shown that using a team of classifiers
                 can outperform a single classifier. These teams are
                 referred to as ensembles. Previously, several different
                 attempts at creating ensembles have been investigated;
                 some more complex than others. In this study, four
                 approaches have been proposed, in which the ensemble
                 methods hybridise a genetic algorithm with a GP
                 algorithm in different ways. The first three approaches
                 made use of a generational GP model, while the fourth
                 used a steady state GP model. The four approaches were
                 tested on eight public data sets and the findings
                 confirm that the proposed ensembles outperform the
                 standard GP method, and additionally outperform other
                 GP methods found in literature.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/NaBIC.2014.6921858",
  notes =        "Sch. of Math., Stat. & Comput. Sci., Univ. of
                 KwaZulu-Natal, Durban, South Africa

                 Also known as \cite{6921858}",
}

Genetic Programming entries for Emmanuel Dufourq Nelishia Pillay

Citations