Evolutionary ANNs: A state of the art survey

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Antonia Azzini and Andrea G. B. Tettamanzi",
  title =        "Evolutionary ANNs: A state of the art survey",
  journal =      "Intelligenza Artificiale",
  year =         "2011",
  volume =       "5",
  number =       "1",
  pages =        "19--35",
  keywords =     "genetic algorithms, genetic programming, Neural
                 Networks, Classification",
  ISSN =         "1724-8035",
  URL =          "http://iospress.metapress.com/content/T144511510806253",
  DOI =          "doi:10.3233/IA-2011-0002",
  size =         "17 pages",
  abstract =     "Neuro-genetic systems have become a very important
                 topic of study in evolutionary computation in recent
                 years. They are models that use evolutionary algorithms
                 to optimise neural network design. This article is a
                 survey of the state of art of evolutionary ANN systems,
                 with a focus on the most recent developments, presented
                 in the literature during the last decade. The main
                 purpose of this work is to provide an update and
                 extension of Yao's milestone survey, published back in
                 1999, by taking the most recent literature into

Genetic Programming entries for Antonia Azzini Andrea G B Tettamanzi