A two-stage robust approach for minimizing the weighted number of tardy jobs with objective uncertainty
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Management Science and Operations Research,General Engineering,Software
Link
https://link.springer.com/content/pdf/10.1007/s10951-022-00775-1.pdf
Reference39 articles.
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2. Aloulou, M. A., & Della Croce, F. (2008). Complexity of single machine scheduling problems under scenario-based uncertainty. Operations Research Letters, 36(3), 338–342. https://doi.org/10.1016/j.orl.2007.11.005.
3. Arslan, A. N., & Detienne, B. (2022). Decomposition-Based Approaches for a Class of Two-Stage Robust Binary Optimization Problems. INFORMS Journal on Computing, 34(2), 857–871. https://doi.org/10.1287/ijoc.2021.1061.
4. Ayoub, J., & Poss, M. (2016). Decomposition for adjustable robust linear optimization subject to uncertainty polytope. Computational Management Science, 13(2), 219–239.
5. Baptiste, P., Peridy, L., & Pinson, E. (2003). A branch and bound to minimize the number of late jobs on a single machine with release time constraints. European Journal of Operational Research, 144(1), 1–11. https://doi.org/10.1016/S0377-2217(01)00353-8.
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