• DocumentCode
    3281572
  • Title

    A Solution of Dynamic Vehicle Routing Problem with Time Window via Ant Colony System Metaheuristic

  • Author

    Oliveira, Sergio ; de Souza, Sergio R. ; Silva, Maria Amélia Lopes

  • Author_Institution
    Centro Fed. de Educ. Tecnol. de Minas Gerais, Belo Horizonte
  • fYear
    2008
  • fDate
    26-30 Oct. 2008
  • Firstpage
    21
  • Lastpage
    26
  • Abstract
    This paper addresses an architecture for solving the dynamic vehicle routing problem with time windows(DVRPTW) and capacitated fleet using the ant colony system(ACS) metaheuristic. All customers are known in advance,but their demands take place at any instant within a time horizon. The architecture has been developed to run in a centralized fashion, having two main elements, i.e, the events manager element and the ACS element. The events manager element is the central structure of the solution architecture. The static problem element receives the orders and selects them according to their time windows, sending them to the ACS element. It defines, at each static problem,the number of routes and the sequence of customers to be served. All routes arose from the ACS Element are dispatched to the events manager, that will be responsible for assigning them to the vehicles. All the architecture provided results are feasible and all the time windows are always respected.
  • Keywords
    optimisation; transportation; ant colony system metaheuristic; dynamic vehicle routing problem; events manager element; static problem element; time window; Computational efficiency; Costs; NP-hard problem; Neural networks; Polynomials; Routing; Vehicle dynamics; Vehicles; Ant Colony System; Dynamic Vehicle Routing Problem; Metaheuristic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2008. SBRN '08. 10th Brazilian Symposium on
  • Conference_Location
    Salvador
  • ISSN
    1522-4899
  • Print_ISBN
    978-1-4244-3219-6
  • Electronic_ISBN
    1522-4899
  • Type

    conf

  • DOI
    10.1109/SBRN.2008.20
  • Filename
    4665886