Coevolution of data samples and classifiers integrated with grammatically-based genetic programming for data classification

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

  author =       "Douglas A. Augusto and Helio J. C. Barbosa and 
                 Nelson F. F. Ebecken",
  title =        "Coevolution of data samples and classifiers integrated
                 with grammatically-based genetic programming for data
  booktitle =    "GECCO '08: Proceedings of the 10th annual conference
                 on Genetic and evolutionary computation",
  year =         "2008",
  editor =       "Maarten Keijzer and Giuliano Antoniol and 
                 Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and 
                 Nikolaus Hansen and John H. Holmes and 
                 Gregory S. Hornby and Daniel Howard and James Kennedy and 
                 Sanjeev Kumar and Fernando G. Lobo and 
                 Julian Francis Miller and Jason Moore and Frank Neumann and 
                 Martin Pelikan and Jordan Pollack and Kumara Sastry and 
                 Kenneth Stanley and Adrian Stoica and El-Ghazali Talbi and 
                 Ingo Wegener",
  isbn13 =       "978-1-60558-130-9",
  pages =        "1171--1178",
  address =      "Atlanta, GA, USA",
  URL =          "",
  DOI =          "doi:10.1145/1389095.1389328",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  month =        "12-16 " # jul,
  keywords =     "genetic algorithms, genetic programming, competitive
                 coevolution, context-free grammar, data
  abstract =     "The present work treats the data classification task
                 by means of evolutionary computation techniques using
                 three ingredients: genetic programming, competitive
                 coevolution, and context-free grammar.

                 The robustness and symbolic/interpretative qualities of
                 the genetic programming are employed to construct
                 classification trees via Darwinian evolution. The
                 flexible formal structure of the context-free grammar
                 replaces the standard genetic programming
                 representation and describes a language which encodes
                 trees of varying complexity. Finally, competitive
                 coevolution is used to promote competitions between
                 data samples and classification trees in order to
                 create and sustain an evolutionary arms-race for
                 improved solutions",
  notes =        "GECCO-2008 A joint meeting of the seventeenth
                 international conference on genetic algorithms
                 (ICGA-2008) and the thirteenth annual genetic
                 programming conference (GP-2008).

                 ACM Order Number 910081. Also known as \cite{1389328}",

Genetic Programming entries for Douglas A Augusto Helio J C Barbosa Nelson F F Ebecken