Parallel implementation of a genetic-programming based tool for symbolic regression

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

  author =       "Abdel Salhi and H. Glaser and D. {De Roure}",
  title =        "Parallel implementation of a genetic-programming based
                 tool for symbolic regression",
  journal =      "Information Processing Letters",
  volume =       "66",
  number =       "6",
  pages =        "299--307",
  month =        "30 " # jun,
  year =         "1998",
  keywords =     "genetic algorithms, genetic programming, Algorithms,
                 Symbolic regression",
  ISSN =         "0020-0190",
  URL =          "",
  DOI =          "doi:10.1016/S0020-0190(98)00056-8",
  CODEN =        "IFPLAT",
  bibdate =      "Sat Nov 7 17:56:00 MST 1998",
  acknowledgement = ack-nhfb,
  abstract =     "We report on a parallel implementation of a tool for
                 symbolic regression, the algorithmic mechanism of which
                 is based on genetic programming, and communication is
                 handled using MPI. The implementation relies on a
                 random islands model (RIM), which combines both the
                 conventional islands model where migration of
                 individuals between islands occurs periodically and
                 niching where no migration takes place. The system was
                 designed so that the algorithm is synergistic with
                 parallel/distributed architectures, and works to make
                 use of processor time and minimum use of network
                 bandwidth without complicating the sequential algorithm
                 significantly. Results on an IBM SP2 are included.",
  notes =        "GP_SR See \cite{DSSE-TR-97-3}",

Genetic Programming entries for Abdel Salhi Hugh Glaser David De Roure