Intraspecific Evolution of Learning by Genetic Programming

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

@InProceedings{akira:2000:moelGP,
  author =       "Yoshida Akira",
  title =        "Intraspecific Evolution of Learning by Genetic
                 Programming",
  booktitle =    "Genetic Programming, Proceedings of EuroGP'2000",
  year =         "2000",
  editor =       "Riccardo Poli and Wolfgang Banzhaf and 
                 William B. Langdon and Julian F. Miller and Peter Nordin and 
                 Terence C. Fogarty",
  volume =       "1802",
  series =       "LNCS",
  pages =        "209--224",
  address =      "Edinburgh",
  publisher_address = "Berlin",
  month =        "15-16 " # apr,
  organisation = "EvoNet",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming: Poster",
  ISBN =         "3-540-67339-3",
  URL =          "http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=1802&spage=209",
  DOI =          "doi:10.1007/978-3-540-46239-2_15",
  abstract =     "Spatial dynamic pattern formations or trails can be
                 observed in a simple square world where individuals
                 move to look for scattered foods. They seem to show the
                 emergence of co-operation, job separation, or division
                 of territories when genetic programming controls the
                 reproduction, mutation, crossing over of the organisms.
                 We try to explain the co-operative behaviours among
                 multiple organisms by means of density of organisms and
                 their environment. Next, we add some interactions
                 between organisms, and between organism and their
                 environment to see that the more interaction make the
                 convergence of intraspecific learning faster. At last,
                 we study that MDL-based fitness evaluation is effective
                 for improvement of generalisation of genetic
                 programming.",
  notes =        "EuroGP'2000, part of \cite{poli:2000:GP}",
}

Genetic Programming entries for Yoshida Akira

Citations