Cellular Gene Expression Programming Classifier Learning

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Joanna Jedrzejowicz and Piotr Jedrzejowicz",
  title =        "Cellular Gene Expression Programming Classifier
  journal =      "Transactions on Computational Collective Intelligence
  year =         "2011",
  volume =       "6910",
  series =       "Lecture Notes in Computer Science",
  pages =        "66--83",
  editor =       "Ngoc Thanh Nguyen",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, cellular evolutionary
                 algorithm, ensemble classifiers",
  isbn13 =       "978-3-642-24015-7",
  DOI =          "doi:10.1007/978-3-642-24016-4_4",
  size =         "18 pages",
  abstract =     "In this paper we propose integrating two collective
                 computational intelligence techniques: gene expression
                 programming and cellular evolutionary algorithms with a
                 view to induce expression trees, which, subsequently,
                 serve as weak classifiers. From these classifiers
                 stronger ensemble classifiers are constructed using
                 majority-voting and boosting techniques. The paper
                 includes the discussion of the validating experiment
                 result confirming high quality of the proposed ensemble
  notes =        "Journal volume 5 but published as book in LNCS 6910
  affiliation =  "Institute of Informatics, Gdansk University, Wita
                 Stwosza 57, 80-952 Gdansk, Poland",

Genetic Programming entries for Joanna Jedrzejowicz Piotr Jedrzejowicz