The Master-Slave Architecture for Evolutionary Computations Revisited

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Gagne:2003:gecco,
  author =       "Christian Gagne and Marc Parizeau and Marc Dubreuil",
  title =        "The Master-Slave Architecture for Evolutionary
                 Computations Revisited",
  booktitle =    "Genetic and Evolutionary Computation -- GECCO-2003",
  editor =       "E. Cant{\'u}-Paz and J. A. Foster and K. Deb and 
                 D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and 
                 R. Standish and G. Kendall and S. Wilson and 
                 M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and 
                 A. C. Schultz and K. Dowsland and N. Jonoska and 
                 J. Miller",
  year =         "2003",
  pages =        "1578--1579",
  address =      "Chicago",
  publisher_address = "Berlin",
  month =        "12-16 " # jul,
  volume =       "2724",
  series =       "LNCS",
  ISBN =         "3-540-40603-4",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming, poster",
  URL =          "http://www.gel.ulaval.ca/~cgagne/pubs/master-gecco03.pdf",
  URL =          "http://vision.gel.ulaval.ca/en/publications/Id_440/PublDetails.php",
  DOI =          "doi:10.1007/3-540-45110-2_33",
  abstract =     "The recent availability of cheap Beowulf clusters has
                 generated much interest for Parallel and Distributed
                 Evolutionary Computations (PDEC). Another often
                 neglected source of CPU power for PDEC are networks of
                 PCs, in many case very powerful workstations, that run
                 idle each day for long periods of time. To exploit
                 efficiently both Beowulfs and networks of heterogeneous
                 workstations we argue that the classic master-slave
                 distribution model is superior to the currently more
                 popular island-model. Results obtained with a plausible
                 deployment scenario demonstrate that system performance
                 degrades gracefully when failures occurred, while still
                 achieving near linear speedup in the ideal case.",
  notes =        "GECCO-2003. A joint meeting of the twelfth
                 International Conference on Genetic Algorithms
                 (ICGA-2003) and the eights Annual Genetic Programming
                 Conference (GP-2003)

                 BEAGLE",
}

Genetic Programming entries for Christian Gagne Marc Parizeau Marc Dubreuil

Citations