• DocumentCode
    2709734
  • Title

    The application of Multilevel Refinement to the Vehicle Routing Problem

  • Author

    Rodney, Demane ; Soper, Alan ; Walshaw, Chris

  • Author_Institution
    Sch. of Comput. & Math. Sci., Greenwich Univ., London
  • fYear
    2007
  • fDate
    1-5 April 2007
  • Firstpage
    212
  • Lastpage
    219
  • Abstract
    We discuss the application of the multilevel (ML) refinement technique to the vehicle routing problem (VRP), and compare it to its single-level (SL) counterpart. Multilevel refinement recursively coarsens to create a hierarchy of approximations to the problem and refines at each level. A SL heuristic, termed the combined node-exchange composite heuristic (CNCH), is developed first to solve instances of the VRP. A ML version (the ML-CNCH) is then created, using the construction and improvement heuristics of the CNCH at each level. Experimentation is used to find a suitable combination, which extends the global view of these heuristics. Results comparing both SL and ML are presented
  • Keywords
    combinatorial mathematics; optimisation; transportation; vehicles; aggregation techniques; combinatorial optimization; combined node-exchange composite heuristic; multilevel refinement; vehicle routing problem; Clustering algorithms; Computational intelligence; Costs; Intelligent vehicles; Job shop scheduling; Processor scheduling; Refining; Routing; Runtime; Traveling salesman problems; Heuristics; aggregation techniques; combinatorial optimization; metaheuristic; multilevel refinement; vehicle routing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Scheduling, 2007. SCIS '07. IEEE Symposium on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    1-4244-0704-4
  • Type

    conf

  • DOI
    10.1109/SCIS.2007.367692
  • Filename
    4218619