• DocumentCode
    3719947
  • Title

    A novel approach to solve K-center problems with geographical placement

  • Author

    Peter Hillmann;Tobias Uhlig;Gabi Dreo Rodosek;Oliver Rose

  • Author_Institution
    Universit?t der Bundeswehr M?nchen, Neubiberg, 85577, Germany
  • fYear
    2015
  • Firstpage
    31
  • Lastpage
    36
  • Abstract
    The facility location problem is a well-known challenge in logistics that is proven to be NP-hard. In this paper we specifically simulate the geographical placement of facilities to provide adequate service to customers. Determining reasonable center locations is an important challenge for a management since it directly effects future service costs. Generally, the objective is to place the central nodes such that all customers have convenient access to them. We analyze the problem and compare different placement strategies and evaluate the number of required centers. We use several existing approaches and propose a new heuristic for the problem. For our experiments we consider various scenarios and employ simulation to evaluate the performance of the optimization algorithms. Our new optimization approach shows a significant improvement. The presented results are generally applicable to many domains, e.g., the placement of military bases, the planning of content delivery networks, or the placement of warehouses.
  • Keywords
    "Optimization","Transportation","Logistics","Linear programming","Clustering algorithms","Evolutionary computation","Conferences"
  • Publisher
    ieee
  • Conference_Titel
    Service Operations And Logistics, And Informatics (SOLI), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/SOLI.2015.7367406
  • Filename
    7367406