Parallel Clustering System Using the Methodologies of Evolutionary Computations

Created by W.Langdon from gp-bibliography.bib Revision:1.4067

@InProceedings{walker:2001:pcsumec,
  author =       "Reginald L. Walker",
  title =        "Parallel Clustering System Using the Methodologies of
                 Evolutionary Computations",
  booktitle =    "Proceedings of the 2001 Congress on Evolutionary
                 Computation CEC2001",
  year =         "2001",
  pages =        "831--938",
  address =      "COEX, World Trade Center, 159 Samseong-dong,
                 Gangnam-gu, Seoul, Korea",
  publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
                 08855-1331, USA",
  month =        "27-30 " # may,
  organisation = "IEEE Neural Network Council (NNC), Evolutionary
                 Programming Society (EPS), Institution of Electrical
                 Engineers (IEE)",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming,
                 Bioinformatics Evolutionary computations, Biological
                 modeling, Cluster analysis, Distributive/parallel
                 computing, MPI, WWW, SUN workstations, Tocorime Apicu
                 project, Web pages, World Wide Web, adaptive probe
                 sets, Bioinformatics approach, evolutionary
                 computations, fitness measures, fitness-enhancing
                 mechanisms, message passing interface, parallel
                 clustering system, performance, search engine,
                 Internet, evolutionary computation, information
                 resources, message passing",
  ISBN =         "0-7803-6658-1",
  DOI =          "doi:10.1109/CEC.2001.934276",
  abstract =     "Several versions of the parallel clustering system
                 were studied to improve performance of its initial
                 implementation. The current versions were restricted to
                 1024 Web pages which, in turn, were used to create
                 adaptive probe sets that were distributed to each
                 indexer node. The probe sets were used to compute
                 fitness measures associated with each indexer node used
                 to create sub-species for the purpose of applying the
                 new and traditional GA/GP operators. Speedup resulted
                 from fitness-enhancing mechanisms that provided
                 information results from previous fitness measurements
                 of previous generations, such as the non-genetic
                 transmission of cultural information. The clustering
                 results are being used in the Tocorime Apicu project to
                 develop a bioinformatic approach to the design and
                 validation of an integrated, experimental search
                 engine. This model provides a foundation for an
                 evolutionary expansion of this computational model as
                 World Wide Web (WWW) documents continue to grow. The
                 clustering results were generated using message passing
                 interface (MPI) on a network of SUN workstations",
  notes =        "CEC-2001 - A joint meeting of the IEEE, Evolutionary
                 Programming Society, Galesia, and the IEE.

                 IEEE Catalog Number = 01TH8546C,

                 Library of Congress Number = .

                 {"}only females of equal status compete in order to
                 ...mate{"} p831 {"}even-numbered node ID{"}. Tocorime
                 Apicu. bloat. cf pygmies and civil servants?
                 experimental www search engine",
}

Genetic Programming entries for Reginald L Walker

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