• DocumentCode
    1129068
  • Title

    A guided cooperative search for the vehicle routing problem with time windows

  • Author

    Bouthillier, Alexandre Le ; Crainic, Teodor G. ; Kropf, Peter

  • Author_Institution
    Montreal Univ., Que., Canada
  • Volume
    20
  • Issue
    4
  • fYear
    2005
  • Firstpage
    36
  • Lastpage
    42
  • Abstract
    We have developed a pattern-identification mechanism that endows cooperative search with capabilities to create new information and guide the global search. The proposed mechanism sends information to independent metaheuristics about promising and unpromising patterns in the solution space. By fixing or prohibiting specific solution attribute values in certain search metaheuristics, we can focus the search on desired regions. The mechanism thus enforces better coordination between individual methods and controls the global search´s diversification and intensification. An enhanced cooperative-search mechanism creates new information from exchanged solutions and guides the global search with a pattern-identification mechanism.
  • Keywords
    search problems; transportation; warehousing; guided cooperative search; metaheuristics problem; pattern identification mechanism; time windows; vehicle routing problem; Concurrent computing; Evolutionary computation; Logic; Parallel processing; Robustness; Routing; Search methods; Space exploration; Vehicles; Yarn; parallel computation; parallel cooperative search; vehicle routing problem with time windows;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2005.58
  • Filename
    1492315