• DocumentCode
    3728951
  • Title

    Insertion of new depot locations for the optimization of multi-vehicles multi-depots pickup and Delivery Problems using Genetic Algorithm

  • Author

    Essia Ben Ala?a;Imen Harbaoui Dridi;Hanen Bouchriha;Pierre Borne

  • Author_Institution
    CRIStAL: Centre de Recherche en Informatique, Signal et Automatique de Lille, UMR 9189, Ecole Centrale de Lille, Villeneuve d´Ascq, France
  • fYear
    2015
  • Firstpage
    695
  • Lastpage
    701
  • Abstract
    The Pickup and Delivery Problems (PDP) represent an important class of Vehicle Routing Problems (VRP) in which goods must be collected and distributed. In this paper, we propose an approach which is based on the combination of Genetic Algorithm (GA) with the clustering algorithm for the optimization of multi-vehicles, multi-depots, pickup and delivery problem (m-MDPDP). The main contribution is to find new depot locations in order to obtain feasible solution (routes) for the m-MDPDPTW. These routes satisfy transportation requests without contravening any of the instance specific constraints.
  • Keywords
    "Vehicles","Genetic algorithms","Sociology","Statistics","Clustering algorithms","Vehicle routing","Benchmark testing"
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Systems Management (IESM), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/IESM.2015.7380234
  • Filename
    7380234