• DocumentCode
    2327798
  • Title

    Comparison of cooperative and classical evolutionary algorithms for global supply chain optimisation

  • Author

    Ibrahimov, Maksud ; Wagner, Neal ; Mohais, Arvind ; Schellenberg, Sven ; Michalewicz, Zbigniew

  • Author_Institution
    Sch. of Comput. Sci., Univ. of Adelaide, Adelaide, SA, Australia
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper discusses global optimisation from a business perspective in the context of the supply chain operations. A two-silo supply chain was built for experimentation and two approaches were used for global optimisation: a classical evolutionary approach and a cooperative coevolutionary approach. The latter approach produced higher quality solutions due to its use of communication between silos. Additionally, a second problem was presented involving an existing Australian multi-factory sheet steel business.
  • Keywords
    evolutionary computation; optimisation; supply chain management; Australian multifactory sheet steel business; business perspective; classical evolutionary algorithm; cooperative evolutionary algorithm; global supply chain optimisation; silo communication; supply chain operation; two-silo supply chain; Biological cells; Biological system modeling; Job shop scheduling; Optimization; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2010 IEEE Congress on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-6909-3
  • Type

    conf

  • DOI
    10.1109/CEC.2010.5586150
  • Filename
    5586150