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Decomposition for adjustable robust linear optimization subject to uncertainty polytope

Citations

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Cited by:

  1. Mehran Poursoltani & Erick Delage, 2022. "Adjustable Robust Optimization Reformulations of Two-Stage Worst-Case Regret Minimization Problems," Operations Research, INFORMS, vol. 70(5), pages 2906-2930, September.
  2. Marcio Costa Santos & Agostinho Agra & Michael Poss, 2020. "Robust inventory theory with perishable products," Annals of Operations Research, Springer, vol. 289(2), pages 473-494, June.
  3. Angelos Georghiou & Angelos Tsoukalas & Wolfram Wiesemann, 2019. "Robust Dual Dynamic Programming," Operations Research, INFORMS, vol. 67(3), pages 813-830, May.
  4. Mai Van Duy & Phan Quoc Khanh & Nguyen Minh Tung, 2025. "Optimality Conditions and Duality in Nonsmooth Adjustable Robust Optimization Problems," Journal of Optimization Theory and Applications, Springer, vol. 207(3), pages 1-28, December.
  5. Ayşe N. Arslan & Boris Detienne, 2022. "Decomposition-Based Approaches for a Class of Two-Stage Robust Binary Optimization Problems," INFORMS Journal on Computing, INFORMS, vol. 34(2), pages 857-871, March.
  6. Yanıkoğlu, İhsan & Gorissen, Bram L. & den Hertog, Dick, 2019. "A survey of adjustable robust optimization," European Journal of Operational Research, Elsevier, vol. 277(3), pages 799-813.
  7. Rosario Paradiso & Angelos Georghiou & Said Dabia & Denise Tönissen, 2025. "Exact and Approximate Schemes for Robust Optimization Problems with Decision-Dependent Information Discovery," INFORMS Journal on Computing, INFORMS, vol. 37(6), pages 1457-1477, November.
  8. Christoph Buchheim & Jannis Kurtz, 2018. "Robust combinatorial optimization under convex and discrete cost uncertainty," EURO Journal on Computational Optimization, Springer;EURO - The Association of European Operational Research Societies, vol. 6(3), pages 211-238, September.
  9. Arkajyoti Roy & Shaunak S. Dabadghao & Ahmadreza Marandi, 2024. "Value of intermediate imaging in adaptive robust radiotherapy planning to manage radioresistance," Annals of Operations Research, Springer, vol. 339(3), pages 1307-1328, August.
  10. Qun Li & Qiang Li & Chenggen Wang, 2023. "Unit Combination Scheduling Method Considering System Frequency Dynamic Constraints under High Wind Power Share," Sustainability, MDPI, vol. 15(15), pages 1-20, August.
  11. Sara Mattia & Michael Poss, 2018. "A comparison of different routing schemes for the robust network loading problem: polyhedral results and computation," Computational Optimization and Applications, Springer, vol. 69(3), pages 753-800, April.
  12. François Clautiaux & Boris Detienne & Henri Lefebvre, 2023. "A two-stage robust approach for minimizing the weighted number of tardy jobs with objective uncertainty," Journal of Scheduling, Springer, vol. 26(2), pages 169-191, April.
  13. Pascale Bendotti & Philippe Chrétienne & Pierre Fouilhoux & Adèle Pass-Lanneau, 2023. "The Anchor-Robust Project Scheduling Problem," Operations Research, INFORMS, vol. 71(6), pages 2267-2290, November.
  14. Marcio Costa Santos & Michael Poss & Dritan Nace, 2018. "A perfect information lower bound for robust lot-sizing problems," Annals of Operations Research, Springer, vol. 271(2), pages 887-913, December.
  15. Marin Bougeret & Jérémy Omer & Michael Poss, 2023. "Optimization Problems in Graphs with Locational Uncertainty," INFORMS Journal on Computing, INFORMS, vol. 35(3), pages 578-592, May.
  16. Ayşe N. Arslan & Michael Poss & Marco Silva, 2022. "Min-Sup-Min Robust Combinatorial Optimization with Few Recourse Solutions," INFORMS Journal on Computing, INFORMS, vol. 34(4), pages 2212-2228, July.
  17. Angelos Georghiou & Angelos Tsoukalas & Wolfram Wiesemann, 2026. "On the Optimality of Affine Decision Rules in Distributionally Robust Optimization," Management Science, INFORMS, vol. 72(2), pages 1456-1471, February.
  18. Phebe Vayanos & Angelos Georghiou & Han Yu, 2026. "Robust Optimization with Decision-Dependent Information Discovery," Management Science, INFORMS, vol. 72(2), pages 1509-1528, February.
  19. Siqian Shen & Mingdi You & Yintai Ma, 2017. "Single‐commodity stochastic network design under demand and topological uncertainties with insufficient data," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(2), pages 154-173, March.
  20. Jianzhe Zhen & Ahmadreza Marandi & Danique de Moor & Dick den Hertog & Lieven Vandenberghe, 2022. "Disjoint Bilinear Optimization: A Two-Stage Robust Optimization Perspective," INFORMS Journal on Computing, INFORMS, vol. 34(5), pages 2410-2427, September.
  21. Nicolas Kämmerling & Jannis Kurtz, 2020. "Oracle-based algorithms for binary two-stage robust optimization," Computational Optimization and Applications, Springer, vol. 77(2), pages 539-569, November.
  22. Bendotti, Pascale & Chrétienne, Philippe & Fouilhoux, Pierre & Pass-Lanneau, Adèle, 2021. "Dominance-based linear formulation for the Anchor-Robust Project Scheduling Problem," European Journal of Operational Research, Elsevier, vol. 295(1), pages 22-33.
  23. Angelos Georghiou & Angelos Tsoukalas & Wolfram Wiesemann, 2020. "A Primal–Dual Lifting Scheme for Two-Stage Robust Optimization," Operations Research, INFORMS, vol. 68(2), pages 572-590, March.
  24. Detienne, Boris & Lefebvre, Henri & Malaguti, Enrico & Monaci, Michele, 2024. "Adjustable robust optimization with objective uncertainty," European Journal of Operational Research, Elsevier, vol. 312(1), pages 373-384.
  25. Angelos Georghiou & Daniel Kuhn & Wolfram Wiesemann, 2019. "The decision rule approach to optimization under uncertainty: methodology and applications," Computational Management Science, Springer, vol. 16(4), pages 545-576, October.
  26. Silva, Marco & Poss, Michael & Maculan, Nelson, 2020. "Solution algorithms for minimizing the total tardiness with budgeted processing time uncertainty," European Journal of Operational Research, Elsevier, vol. 283(1), pages 70-82.
  27. Hamaz, Idir & Houssin, Laurent & Cafieri, Sonia, 2024. "The robust cyclic job shop problem," European Journal of Operational Research, Elsevier, vol. 312(3), pages 855-865.
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