• DocumentCode
    234728
  • Title

    An Improved MULTI-ACS Algorithm for the Waste Collection Vehicle Arc Routing Problem with Turn Constraints

  • Author

    Jie Liu ; Yanfeng He ; Aiping Zhang

  • Author_Institution
    Sch. of Urban & Rural Constr., Chengdu Univ., Chengdu, China
  • fYear
    2014
  • fDate
    15-16 Nov. 2014
  • Firstpage
    25
  • Lastpage
    29
  • Abstract
    To reduce the route length of MSW collection without intermediate facilities, A Waste Collection Vehicle Arc Routing Problem with turn constraints (WCVARPTC) model was proposed, which considers the actual traffic regulations: some streets can be traversed in only one direction, some turns will be forbidden when the common angle is too narrow. An asymmetric vehicle node routing problem (AVNRP) model was formulated to reduce the scale of the WCVARPTC. And a MULTI-ACS algorithm with Substitution neighborhood, Reinsertion neighborhood and 3-Exchange neighborhood was designed for solving such an asymmetric one. The results of 3 benchmark instances for CVARP indicate that the best solutions has approached the best known solutions for egl-e1-a, egl-s1-a with deviation 0.28% and 0.16% respectively, So we conclude that the more arcs without collection points that instance contains, the better performance for it.
  • Keywords
    road traffic; vehicle routing; waste management; 3-exchange neighborhood; AVNRP model; CVARP; MSW collection; WCVARPTC model; asymmetric vehicle node routing problem model; improved MULTI-ACS algorithm; reinsertion neighborhood; substitution neighborhood; traffic regulations; waste collection vehicle arc routing problem with turn constraint model; Algorithm design and analysis; Benchmark testing; Computational intelligence; Educational institutions; Routing; Security; Vehicles; ACS; Waste Collection Vehicle Arc Routing Problem with turn constraints; reverse logistics; waste collection management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2014 Tenth International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4799-7433-7
  • Type

    conf

  • DOI
    10.1109/CIS.2014.77
  • Filename
    7016846