• DocumentCode
    2375115
  • Title

    Genetic algorithm with multistart search for the p-Hub median problem

  • Author

    Perez, Melquiades ; Almeida, Francisco ; Moreno-Vega, J. Marcos

  • Author_Institution
    Dept. de Econ. Aplicada, Univ. de La Laguna, Spain
  • Volume
    2
  • fYear
    1998
  • fDate
    25-27 Aug 1998
  • Firstpage
    702
  • Abstract
    The location-allocation problem consists of finding the best selection of points to open facilities (location) and the way for serving the users (allocation). In most cases these problems result in being NP hard. For this reason, heuristic approaches constitute suitable tools to solve the problems. Two well known heuristic techniques are genetic algorithms and multistart search. We consider a hybrid algorithm and compare it with other classical techniques such as the tabu search. The technique could easily be applied to other NP hard problems
  • Keywords
    computational complexity; genetic algorithms; heuristic programming; resource allocation; search problems; NP hard problems; genetic algorithm; heuristic approaches; heuristic techniques; hybrid algorithm; location-allocation problem; multistart search; p-Hub median problem; tabu search; Communication networks; Costs; Genetic algorithms; Genetic mutations; Geography; Heuristic algorithms; Medical services; NP-hard problem; Proposals; Search methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Euromicro Conference, 1998. Proceedings. 24th
  • Conference_Location
    Vasteras
  • ISSN
    1089-6503
  • Print_ISBN
    0-8186-8646-4
  • Type

    conf

  • DOI
    10.1109/EURMIC.1998.708091
  • Filename
    708091