Comparing Synchronous and Asynchronous Parallel and Distributed GP Models

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

@InProceedings{fernandez:2002:EuroGP,
  title =        "Comparing Synchronous and Asynchronous Parallel and
                 Distributed {GP} Models",
  author =       "Francisco Fernandez and G. Galeano and J. A. Gomez",
  editor =       "James A. Foster and Evelyne Lutton and 
                 Julian Miller and Conor Ryan and Andrea G. B. Tettamanzi",
  booktitle =    "Genetic Programming, Proceedings of the 5th European
                 Conference, EuroGP 2002",
  volume =       "2278",
  series =       "LNCS",
  pages =        "326--335",
  publisher =    "Springer-Verlag",
  address =      "Kinsale, Ireland",
  publisher_address = "Berlin",
  month =        "3-5 " # apr,
  year =         "2002",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-43378-3",
  DOI =          "doi:10.1007/3-540-45984-7_32",
  abstract =     "In this paper we present a study that analyses the
                 respective advantages and disadvantages of the
                 synchronous and asynchronous versions of island-based
                 genetic programming. We also look at different
                 measuring systems for comparing parallel genetic
                 programming with panmitic model. At the same time we
                 show an interesting relationship between the bloat
                 phenomenon and the number of individuals we use.
                 Finally, we study a relationship between the number of
                 subpopulations in parallel GP and the advantages of the
                 asynchronous model.",
  notes =        "EuroGP'2002, part of lutton:2002:GP.

                 Santa Fe Ant, even-5-parity. padgp",
}

Genetic Programming entries for Francisco Fernandez de Vega German Galeano Juan Antonio Gomez

Citations