• DocumentCode
    523892
  • Title

    A New Hybrid Path Relinking Algorithm for the Vehicle Routing Problem

  • Author

    Zhang, Xiaoxia ; Bai, Qiuying ; Dong, Liwen

  • Author_Institution
    Coll. of Software Eng., Univ. of Sci. & Technol. Liaoning, Anshan, China
  • Volume
    1
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    234
  • Lastpage
    237
  • Abstract
    This paper presents a new hybrid path relinking algorithm called ACO&PR algorithm to solve the vehicle routing problem. Ant colony optimization (ACO) is a meta-heuristic approach, which simulates the decision-making processes of ant colonies as they forage for food and find the most efficient routes from their nests to food sources. Due to its constructive nature, we hybridize the solution construction mechanism of ACO with path relinking (PR), an evolutionary method, which introduces progressively attributes of the guiding solution into the initial solution to obtain the high quality solution as quickly as possible. The experimental results for benchmark VRP instances have shown that our proposed method is competitive to solve the vehicle routing problem compared with the best existing methods in terms of solution quality.
  • Keywords
    Algorithm design and analysis; Ant colony optimization; Automation; Computational modeling; Educational institutions; Intelligent vehicles; Paper technology; Routing; Simulated annealing; Software algorithms; Ant colony optimization; path relinking; vehicle routing problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha, China
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.700
  • Filename
    5523338