Experimental Investigation Of Three Distributed Genetic Programming Models

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Marco Tomassini and Leonardo Vanneschi and 
                 Francisco Fernandez and German Galeano",
  title =        "Experimental Investigation Of Three Distributed
                 Genetic Programming Models",
  booktitle =    "Parallel Problem Solving from Nature - PPSN VII",
  address =      "Granada, Spain",
  month =        "7-11 " # sep,
  pages =        "641--650",
  year =         "2002",
  editor =       "Juan J. Merelo-Guervos and Panagiotis Adamidis and 
                 Hans-Georg Beyer and Jose-Luis Fernandez-Villacanas and 
                 Hans-Paul Schwefel",
  number =       "2439",
  series =       "Lecture Notes in Computer Science, LNCS",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming, Parallel
  ISBN =         "3-540-44139-5",
  URL =          "http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2439&spage=641",
  DOI =          "doi:10.1007/3-540-45712-7_62",
  abstract =     "Three models of distributed Genetic Programming are
                 presented comprising synchronous and asynchronous
                 communication. These three models are compared with
                 each other and with the standard panmictic model on
                 three well known Genetic Programming benchmarks. The
                 measures used are the computational effort, the
                 phenotypic entropy of the populations, and the
                 execution time. We find that all the distributed models
                 are better than the sequential one in terms of effort
                 and time. The differences among the distributed models
                 themselves are rather small in terms of effort but one
                 of the asynchronous models turns out to be
                 significantly faster. The entropy confirms that
                 migration helps in conserving some phenotypic diversity
                 in the populations.",

Genetic Programming entries for Marco Tomassini Leonardo Vanneschi Francisco Fernandez de Vega German Galeano