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Semi-Lagrangian relaxation applied to the uncapacitated facility location problem


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  • C. Beltran-Royo


  • J.-P. Vial
  • A. Alonso-Ayuso


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    No abstract is available for this item.

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    Bibliographic Info

    Article provided by Springer in its journal Computational Optimization and Applications.

    Volume (Year): 51 (2012)
    Issue (Month): 1 (January)
    Pages: 387-409

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    Handle: RePEc:spr:coopap:v:51:y:2012:i:1:p:387-409

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    Keywords: Lagrangian relaxation; Mixed integer programming; Uncapacitated facility location (UFL) problem;


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    1. Guignard, Monique, 1988. "A Lagrangean dual ascent algorithm for simple plant location problems," European Journal of Operational Research, Elsevier, vol. 35(2), pages 193-200, May.
    2. Mercedes Landete & Alfredo Marín, 2009. "New facets for the two-stage uncapacitated facility location polytope," Computational Optimization and Applications, Springer, vol. 44(3), pages 487-519, December.
    3. Mladenovic, N. & Brimberg, J. & Hansen, P., 2006. "A note on duality gap in the simple plant location problem," European Journal of Operational Research, Elsevier, vol. 174(1), pages 11-22, October.
    4. Ghosh, Diptesh, 2003. "Neighborhood search heuristics for the uncapacitated facility location problem," European Journal of Operational Research, Elsevier, vol. 150(1), pages 150-162, October.
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    Cited by:
    1. Belik, Ivan & Jörnsten, Kurt, 2014. "A New Semi-Lagrangean Relaxation for the K-Cardinality Assignment Problem," Discussion Papers 2014/1, Department of Business and Management Science, Norwegian School of Economics.
    2. Letchford, Adam N. & Miller, Sebastian J., 2014. "An aggressive reduction scheme for the simple plant location problem," European Journal of Operational Research, Elsevier, vol. 234(3), pages 674-682.


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