• DocumentCode
    1702372
  • Title

    SPARC-GAP: a parallel genetic algorithm processing platform

  • Author

    York, T.A. ; Patrick, D. ; Stinchcombe, J. ; Szolkowski, M.S. ; Tyrell, S.G. ; Green, P.R.

  • Author_Institution
    Dept. of Electr. Eng. & Electron., Univ. of Manchester Inst. of Sci. & Technol., UK
  • fYear
    1994
  • fDate
    2/1/1994 12:00:00 AM
  • Firstpage
    42491
  • Lastpage
    42494
  • Abstract
    Genetic algorithms (GA) have emerged as a powerful technique for solving NP-complete problems, most notably those requiring optimisation of a system within a given set of constraints. The authors propose a novel attempt to realise a relatively low-cost parallel processing platform hosted on a Sun workstation that will enable unimpeded exploration of genetic algorithms. The system will be implemented on the SPARC-GAP platform
  • Keywords
    genetic algorithms; parallel algorithms; parallel architectures; parallel machines; NP-complete problems; SPARC-GAP platform; Sun workstation; low-cost parallel processing platform; optimisation; parallel genetic algorithm processing platform;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    High Performance Applications of Parallel Architectures, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    280310
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1702372