• DocumentCode
    684297
  • Title

    Multi-objective joint optimization of loading and capacity vehicle routing problem

  • Author

    Chao Wang ; Chun Jin ; Jim Han

  • Author_Institution
    Inst. of Syst. Eng., Dalian Univ. of Technol., Dalian, China
  • fYear
    2013
  • fDate
    19-21 Oct. 2013
  • Firstpage
    251
  • Lastpage
    255
  • Abstract
    To solve the capacity vehicle routing problem (CVRP) more effectively and save related resources, this paper proposes a multi-objective joint optimization problem of loading problem and CVRP (LCVRP), and builds the appropriate mathematical model. We design a multistage algorithm to solve it. In the first stage of the algorithm, we give a novel loading algorithm to work out the minimum number of transport vehicles. Numerical experiments manifest that we can get the minimum vehicles in LCVRP, and the satisfactory solutions of LCVRP are better than those of CVRP in some instances of VRPLIB. The experiment part of this paper shows the testing for E022 instance in detail.
  • Keywords
    goods distribution; optimisation; vehicle routing; E022 instance; LCVRP; capacity vehicle routing problem; loading problem; multiobjective joint optimization; multistage algorithm; transport vehicle; Annealing; Loading; Simulated annealing; Loading Problem; Multi-objective Joint Optimization; Traveling Salesman Problem; Vehicle Routing Problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computational Intelligence (ICACI), 2013 Sixth International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-6341-9
  • Type

    conf

  • DOI
    10.1109/ICACI.2013.6748511
  • Filename
    6748511