• DocumentCode
    2876664
  • Title

    Ant Colony Algorithm for Waste Collection Vehicle Arc Routing Problem with Turn Constraints

  • Author

    Jie Liu ; Yanfeng He

  • Author_Institution
    Sch. of Urban & Rural Constr., Chengdu Univ., Chengdu, China
  • fYear
    2012
  • fDate
    17-18 Nov. 2012
  • Firstpage
    35
  • Lastpage
    39
  • Abstract
    A Waste Collection Arc Vehicle Routing Problem with turn constraints (WCAVRPTC) model is proposed to minimize the length of municipal solid waste (MSW) collection routes, which presents several characteristics derived from traffic regulations: some streets can be traversed crossed in only one direction, and some turns should be forbidden when the common angle is too narrow. The problem is transformed into a node routing ones and a clustering-based multiple ant colony system algorithm is described to address it. This algorithm possesses a set of new strategies to construct solutions, including clustering-based strategy, improved global pheromone update rule. The methodology is also applied to the urban waste collection problem in Shuangnan. The results of optimization indicate that the length of saving routes is 89984.96m and 92330.04m respectively with or without turns constrains constraints, which decreased by 31.1% and 31.9% respectively.
  • Keywords
    ant colony optimisation; pattern clustering; road traffic; vehicle routing; waste management; China; Shuangnan; WCAVRPTC model; ant colony algorithm; clustering-based multiple ant colony system algorithm; clustering-based strategy; global pheromone update rule; municipal solid waste collection route; node routing; route length minimization; traffic regulation; turn constraint; waste collection vehicle arc routing problem; Cities and towns; Clustering algorithms; Optimization; Roads; Routing; Vehicles; ACS; Collection and Transportation of MSW; Vehicle Arc Routing Problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2012 Eighth International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4673-4725-9
  • Type

    conf

  • DOI
    10.1109/CIS.2012.16
  • Filename
    6405862