A Distributed Computing Environment for Genetic Programming using MPI

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

  author =       "Francisco Fernandez and Marco Tomassini and 
                 Leonardo Vanneschi and Laurent Bucher",
  title =        "A Distributed Computing Environment for Genetic
                 Programming using MPI",
  editor =       "Jack J. Dongarra and Peter Kacsuk and 
                 Norbert Podhorszki",
  booktitle =    "Recent advances in parallel virtual machine and
                 message passing interface: 7th European {PVM\slash MPI}
                 Users' Group Meeting",
  volume =       "1908",
  publisher =    "Springer-Verlag",
  address =      "Balatonfured, Hungary",
  pages =        "322--329",
  year =         "2000",
  ISBN =         "3-540-41010-4 (softcover)",
  ISSN =         "0302-9743",
  isbn13 =       "978-3-540-41010-2",
  bibdate =      "Mon Oct 16 18:31:56 MDT 2000",
  series =       "Lecture Notes in Computer Science",
  month =        "10-13 " # sep,
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1007/3-540-45255-9_44",
  size =         "8 pages",
  abstract =     "This paper presents an environment for distributed
                 genetic programming using MPI. Genetic programming is a
                 stochastic evolutionary learning methodology that can
                 greatly benefit from parallel/distributed
                 implementations. We describe the distributed system, as
                 well as a user-friendly graphical interface to the
                 tool. The usefulness of the distributed setting is
                 demonstrated by the results obtained to date on several
                 difficult problems, one of which is described in the

Genetic Programming entries for Francisco Fernandez de Vega Marco Tomassini Leonardo Vanneschi Laurent Bucher