Integrating evolutionary computation with neural networks

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "E. Vonk and L. C. Jain and L. P. J. Veelenturf and 
                 R. Hibbs",
  title =        "Integrating evolutionary computation with neural
  booktitle =    "Proceedings Electronic Technology Directions to the
                 Year 2000",
  year =         "1995",
  pages =        "137--143",
  month =        "23-25 " # may,
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming, evolutionary
                 algorithms, evolutionary strategies, neural networks",
  language =     "en",
  oai =          "oai:CiteSeerX.psu:",
  URL =          "",
  URL =          "",
  DOI =          "doi:10.1109/ETD.1995.403480",
  size =         "7 pages",
  abstract =     "There is a tremendous interest in the development of
                 the evolutionary computation techniques as they are
                 well suited to deal with optimisation of functions
                 containing a large number of variables. This paper
                 presents a brief review of evolutionary computing
                 techniques. It also discusses briefly the hybridization
                 of evolutionary computation and neural networks and
                 presents a solution of a classical problem using neural
                 computing and evolutionary computing techniques",
  notes =        "many techniques, brief mention of GP. Published by
                 IEEE 2000. Also known as \cite{403480}",

Genetic Programming entries for E Vonk Lakhmi C Jain L P J Veelenturf R Hibbs