Semi-Lagrangian relaxation applied to the uncapacitated facility location problem
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DOI: 10.1007/s10589-010-9338-2
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Cited by:
- Kurt Jörnsten & Andreas Klose, 2016. "An improved Lagrangian relaxation and dual ascent approach to facility location problems," Computational Management Science, Springer, vol. 13(3), pages 317-348, July.
- 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.
- Matteo Fischetti & Ivana Ljubić & Markus Sinnl, 2017. "Redesigning Benders Decomposition for Large-Scale Facility Location," Management Science, INFORMS, vol. 63(7), pages 2146-2162, July.
- Belik, Ivan & Jörnsten, Kurt, 2014. "A New Semi-Lagrangean Relaxation for the K-Cardinality Assignment Problem," Discussion Papers 2014/1, Norwegian School of Economics, Department of Business and Management Science.
- Huizhen Zhang & Cesar Beltran-Royo & Bo Wang & Ziying Zhang, 2019. "Two-phase semi-Lagrangian relaxation for solving the uncapacitated distribution centers location problem for B2C E-commerce," Computational Optimization and Applications, Springer, vol. 72(3), pages 827-848, April.
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Keywords
Lagrangian relaxation; Mixed integer programming; Uncapacitated facility location (UFL) problem;All these keywords.
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