Flocking of Subpopulations in Distributed Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  title =        "Flocking of Subpopulations in Distributed Genetic
  author =       "Giedrius Paulikas and Dalius Rubliauskas",
  year =         "2005",
  booktitle =    "Proceedings of the Fifth International Conference on
                 Intelligent Systems Design and Applications (ISDA
  pages =        "320--325",
  address =      "Wroclaw, Poland",
  month =        "8-10 " # sep,
  publisher =    "IEEE Computer Society",
  bibdate =      "2006-01-04",
  bibsource =    "DBLP,
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-7695-2286-6",
  DOI =          "doi:10.1109/ISDA.2005.46",
  abstract =     "The distribution of the genetic programming algorithm
                 improves the efficiency of the search for the solution,
                 but additional parameters of this distribution are
                 undesirable. This paper presents the analysis of early
                 experimental results of using flocking to control
                 interactions among the distributed subpopulations so
                 less human intervention is needed. The possibility to
                 set up migration parameters dynamically at the run time
                 brings the distributed genetic programming algorithm to
                 the same level of automation as standard genetic
                 programming while keeping the increased performance of
                 the distributed GP. The paper discusses the nature of
                 the required additional computations of the GP
                 algorithm when adapting flocking for migration control.
                 The positive empirical results support the idea of
                 mixing both search techniques together.",

Genetic Programming entries for Giedrius Paulikas Dalius Rubliauskas