• DocumentCode
    2312485
  • Title

    Multiobjective optimisation of robot location in a workcell using genetic algorithms

  • Author

    Pashkevich, A.P. ; Pashkevich, M.A.

  • Author_Institution
    Dept. of Inf. & Radioelectron., Byelorussian State Univ., Minsk, Byelorussia
  • Volume
    1
  • fYear
    1998
  • fDate
    1-4 Sep 1998
  • Firstpage
    757
  • Abstract
    The paper deals with the automatic planning of robotic cell layout using multiobjective optimisation technique. The genetic algorithm developed allows one to reduce computing efforts by “growing” the required Pareto-optimal set from a small number of initial Pareto-optimal solutions that are located at the nodes of a rough grid. Various simulation results have demonstrated the efficiency of the proposed approach for different objective functions
  • Keywords
    computer aided production planning; CIM; computer integrated manufacturing; genetic algorithms; layout planning; multiobjective optimisation; numerical methods; objective functions; robot location; robotic workcell;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Control '98. UKACC International Conference on (Conf. Publ. No. 455)
  • Conference_Location
    Swansea
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-708-X
  • Type

    conf

  • DOI
    10.1049/cp:19980324
  • Filename
    728030
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2312485