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A branch and bound algorithm for the robust spanning tree problem with interval data

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  • Montemanni, R.
  • Gambardella, L. M.

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  • Montemanni, R. & Gambardella, L. M., 2005. "A branch and bound algorithm for the robust spanning tree problem with interval data," European Journal of Operational Research, Elsevier, vol. 161(3), pages 771-779, March.
    • Handle: RePEc:eee:ejores:v:161:y:2005:i:3:p:771-779
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    Cited by:

    1. Nikulin, Yury, 2005. "Simulated annealing algorithm for the robust spanning tree problem," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 591, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    2. Alireza Amirteimoori & Simin Masrouri, 2021. "DEA-based competition strategy in the presence of undesirable products: An application to paper mills," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(2), pages 5-21.
    3. Nikulin, Yury, 2006. "Robustness in combinatorial optimization and scheduling theory: An extended annotated bibliography," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 606, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    4. Chen, Xujin & Hu, Jie & Hu, Xiaodong, 2009. "A polynomial solvable minimum risk spanning tree problem with interval data," European Journal of Operational Research, Elsevier, vol. 198(1), pages 43-46, October.
    5. Marc Goerigk & Adam Kasperski & Paweł Zieliński, 2021. "Combinatorial two-stage minmax regret problems under interval uncertainty," Annals of Operations Research, Springer, vol. 300(1), pages 23-50, May.
    6. Aissi, Hassene & Bazgan, Cristina & Vanderpooten, Daniel, 2009. "Min-max and min-max regret versions of combinatorial optimization problems: A survey," European Journal of Operational Research, Elsevier, vol. 197(2), pages 427-438, September.
    7. Nikulin, Y. & Karelkina, O. & Mäkelä, M.M., 2013. "On accuracy, robustness and tolerances in vector Boolean optimization," European Journal of Operational Research, Elsevier, vol. 224(3), pages 449-457.
    8. Wei Wu & Manuel Iori & Silvano Martello & Mutsunori Yagiura, 2022. "An Iterated Dual Substitution Approach for Binary Integer Programming Problems Under the Min-Max Regret Criterion," INFORMS Journal on Computing, INFORMS, vol. 34(5), pages 2523-2539, September.
    9. Conde, Eduardo & Candia, Alfredo, 2007. "Minimax regret spanning arborescences under uncertain costs," European Journal of Operational Research, Elsevier, vol. 182(2), pages 561-577, October.
    10. Adam Kasperski, 2008. "Making Robust Decisions in Discrete Optimization Problems as a Game against Nature," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 2(3), pages 237-250, December.
    11. Montemanni, Roberto, 2006. "A Benders decomposition approach for the robust spanning tree problem with interval data," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1479-1490, November.
    12. Amadeu Coco & João Júnior & Thiago Noronha & Andréa Santos, 2014. "An integer linear programming formulation and heuristics for the minmax relative regret robust shortest path problem," Journal of Global Optimization, Springer, vol. 60(2), pages 265-287, October.
    13. Conde, Eduardo, 2012. "On a constant factor approximation for minmax regret problems using a symmetry point scenario," European Journal of Operational Research, Elsevier, vol. 219(2), pages 452-457.
    14. Mariusz Makuchowski, 2014. "Perturbation algorithm for a minimax regret minimum spanning tree problem," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 24(1), pages 37-49.

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