• DocumentCode
    1666857
  • Title

    A massively parallel GP engine in VLSI

  • Author

    Eklund, Sven E.

  • Author_Institution
    Comput. Sci. Dept., Dalarna Univ., Sweden
  • Volume
    1
  • fYear
    2002
  • Firstpage
    629
  • Lastpage
    633
  • Abstract
    In this paper we propose the implementation of a massively parallel genetic programming (GP) model in hardware in order to speed up the genetic algorithm. This fine-grained diffusion architecture consists of a large amount of independent processing nodes that evolve a large number of small, overlapping subpopulations. Every node has an embedded CPU that executes a linear machine code GP representation at a rate of up to 20,000 generations per second
  • Keywords
    VLSI; genetic algorithms; mathematics computing; parallel architectures; VHDL simulations; VLSI; diffusion model; genetic algorithm; genetic programming; linear machine code; massively parallel architecture; search space; Centralized control; Computer architecture; Computer science; Engines; Genetic algorithms; Genetic programming; Hardware; Stochastic processes; Topology; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-7282-4
  • Type

    conf

  • DOI
    10.1109/CEC.2002.1006999
  • Filename
    1006999
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1666857