A parallel implementation of genetic programming that achieves super-linear performance

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

  author =       "David Andre and John R. Koza",
  title =        "A parallel implementation of genetic programming that
                 achieves super-linear performance",
  journal =      "Information Sciences",
  year =         "1998",
  volume =       "106",
  number =       "3-4",
  pages =        "201--218",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "0020-0255",
  URL =          "http://www.sciencedirect.com/science/article/B6V0C-3TKS65B-21/2/22b9842f820b08883990bbae1d889c03",
  URL =          "http://www.davidandre.com/papers/isj97.ps",
  DOI =          "doi:10.1016/S0020-0255(97)10011-1",
  size =         "18 pages",
  abstract =     "This paper describes the successful parallel
                 implementation of genetic programming on a network of
                 processing nodes using the transputer architecture.
                 With this approach, researchers of genetic algorithms
                 and genetic programming can acquire computing power
                 that is intermediate between the power of currently
                 available workstations and that of supercomputers at
                 intermediate cost. This approach is illustrated by a
                 comparison of the computational effort required to
                 solve a benchmark problem. Because of the decoupled
                 character of genetic programming, our approach achieved
                 a nearly linear speed up from parallelization. In
                 addition, for the best choice of parameters tested, the
                 use of subpopulations delivered a super-linear
                 speed-up in terms of the ability of the algorithm to
                 solve the problem. Several examples are also presented
                 where the parallel genetic programming system evolved
                 solutions that are competitive with human
  notes =        "Information Sciences

Genetic Programming entries for David Andre John Koza