Evolving Neural Networks Using a Dual Representation with a Combined Crossover Operator

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InProceedings{pujol:1998:enndr,
  author =       "Joao Carlos Figueira Pujol and Riccardo Poli",
  title =        "Evolving Neural Networks Using a Dual Representation
                 with a Combined Crossover Operator",
  booktitle =    "Proceedings of the 1998 IEEE World Congress on
                 Computational Intelligence",
  year =         "1998",
  pages =        "416--421",
  address =      "Anchorage, Alaska, USA",
  month =        "5-9 " # may,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, PDGP",
  ISBN =         "0-7803-4869-9",
  URL =          "http://cswww.essex.ac.uk/staff/poli/papers/Pujol-ICEC1998.pdf",
  URL =          "http://citeseer.ist.psu.edu/313803.html",
  file =         "c072.pdf",
  size =         "6 pages",
  abstract =     "In this paper a new approach to the evolution of
                 neural networks is presented. A linear chromosome
                 combined with a grid-based representation of the
                 network, and a new crossover operator, allow the
                 evolution of the architecture and the weights
                 simultaneously. In our approach there is no need for a
                 separate weight optimization procedure and networks
                 with more than one type of activation function can be
                 evolved. A pruning strategy is also introduced, which
                 leads to the generation of solutions with varying
                 degrees of complexity. Results of the application of
                 the method to several binary classification problems
                 are reported.",
  notes =        "ICEC-98 Held In Conjunction With WCCI-98 --- 1998 IEEE
                 World Congress on Computational Intelligence",
}

Genetic Programming entries for Joao Carlos Figueira Pujol Riccardo Poli