Studying the influence of Synchronous and Asynchronous parallel GP on Programs' Length Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.4394

  author =       "G. Galeano and F. Fernandez and M. Tomassini and 
                 L. Vanneschi",
  title =        "Studying the influence of Synchronous and Asynchronous
                 parallel GP on Programs' Length Evolution",
  booktitle =    "Proceedings of the 2002 Congress on Evolutionary
                 Computation CEC2002",
  editor =       "David B. Fogel and Mohamed A. El-Sharkawi and 
                 Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and 
                 Mark Shackleton",
  pages =        "1727--1732",
  year =         "2002",
  publisher =    "IEEE Press",
  publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
                 08855-1331, USA",
  organisation = "IEEE Neural Network Council (NNC), Institution of
                 Electrical Engineers (IEE), Evolutionary Programming
                 Society (EPS)",
  ISBN =         "0-7803-7278-6",
  month =        "12-17 " # may,
  notes =        "CEC 2002 - A joint meeting of the IEEE, the
                 Evolutionary Programming Society, and the IEE. Held in
                 connection with the World Congress on Computational
                 Intelligence (WCCI 2002)",
  keywords =     "genetic algorithms, genetic programming, asynchronous
                 parallel genetic programming, bloat phenomenon,
                 distributed genetic programming models, programs length
                 evolution, subpopulations, synchronous parallel genetic
                 programming, parallel programming",
  DOI =          "doi:10.1109/CEC.2002.1004503",
  abstract =     "We present a study of parallel and distributed genetic
                 programming models and their relationships with the
                 bloat phenomenon. The experiments that we have
                 performed have also allowed us to find an interesting
                 link between the number of processes, subpopulations
                 and the model we should use when applying parallelism
                 to GP. We study the synchronous and asynchronous
                 version of the island-model in GP domain.",

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