• DocumentCode
    2777934
  • Title

    Research on the non-strict uncapacitated multiple allocation p-hub median problem based on tuba search

  • Author

    Bai Ming-Guo

  • Author_Institution
    Sch. of Manage., Anhui Univ. of Technol., Ma´anshan, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    2156
  • Lastpage
    2160
  • Abstract
    The problem of locating hub facilities arises in the design of transportation and telecommunications networks. In this paper we consider the non-strict uncapacitated multiple allocation p-hub median problem which belongs to a class of discrete location-allocation problems. A mixed integer linear programming model of the non-strict uncapacitated multiple allocation p-hub median problem is proposed and a new heuristic algorithm based on tabu search and the shortest path algorithm is put forward to solve the non-strict uncapacitated multiple allocation p-hub median problem. Our algorithm is benchmarked on a Chinese data. Computational results demonstrate that the algorithm can find the best solution of all the problems within 0.14 seconds, so the heuristic algorithm has strong ability and quick efficiency in finding optimal solutions.
  • Keywords
    facility location; integer programming; linear programming; search problems; discrete location-allocation problems; hub facility location; mixed integer linear programming model; nonstrict uncapacitated multiple allocation; optimal solutions; p-hub median problem; tabu search; Algorithm design and analysis; Communication networks; Electronic mail; Heuristic algorithms; Linear programming; Mixed integer linear programming; Shortest path problem; Technology management; Telecommunication network management; Transportation; Heuristic algorithm; Hub; Non-hub; Shortest path algorithm; Tabu search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5191675
  • Filename
    5191675