Functional Localization of Genetic Network Programming and its Application to a Pursuit Problem

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Eto:2004:FLoGNPaiAtaPP,
  title =        "Functional Localization of Genetic Network Programming
                 and its Application to a Pursuit Problem",
  author =       "Shinji Eto and Kotaro Hirasawa and Jinglu Hu",
  pages =        "683--690",
  booktitle =    "Proceedings of the 2004 IEEE Congress on Evolutionary
                 Computation",
  year =         "2004",
  publisher =    "IEEE Press",
  month =        "20-23 " # jun,
  address =      "Portland, Oregon",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 intelligent agents, Poster Session",
  DOI =          "doi:10.1109/CEC.2004.1330925",
  abstract =     "According to the knowledge of brain science, it is
                 suggested that there exists cerebral functional
                 localization, which means that a specific part of the
                 cerebrum is activated depending on various kinds of
                 information human receives. The aim of this paper is to
                 build an artificial model to realize functional
                 localization based on Genetic Network Programming
                 (GNP), a new evolutionary computation method recently
                 developed. GNP has a directed graph structure suitable
                 for realizing functional localization brain has. We
                 studied the basic characteristics of the proposed
                 system by making GNP work in a functionally localized
                 way.",
  notes =        "CEC 2004 - A joint meeting of the IEEE, the EPS, and
                 the IEE.",
}

Genetic Programming entries for Shinji Eto Kotaro Hirasawa Jinglu Hu

Citations