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Results: 37
Number of items: 37
  • Open Access
    Jin, G. (2026). Essays on distributionally robust optimization for decision-making under risk and ambiguity. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Kurtz, J., Birbil, Ş. İ., & den Hertog, D. (2026). Counterfactual explanations for linear optimization. European Journal of Operational Research, 329(1), 24-41. https://doi.org/10.1016/j.ejor.2025.06.016
  • Open Access
    Starreveld, J. S. (2026). Mathematical optimization under uncertainty: With application to hydrogen deployment in the Netherlands. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    van Eekelen, W. J. E. C., den Hertog, D., & van Leeuwaarden, J. S. H. (2025). Distributionally Robust Appointment Scheduling That Can Deal With Independent Service Times. Production and Operations Management, 34(6), 1458-1476. https://doi.org/10.2139/ssrn.4892477, https://doi.org/10.1177/10591478241292258
  • Open Access
    Maragno, D. (2025). Optimization with constraint learning. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Wemelsfelder, M. L. (2025). Optimizing the blood supply chain: A data-driven approach to improve blood product utilization and patient safety. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Maragno, D., Buti, G., Birbil, S. I., Liao, Z., Bortfeld, T., den Hertog, D., & Ajdari, A. (2024). Embedding machine learning based toxicity models within radiotherapy treatment plan optimization. Physics in Medicine and Biology, 69(7), Article 075003. https://doi.org/10.1088/1361-6560/ad2d7e
  • Open Access
    Maragno, D., Kurtz, J., Röber, T. E., Goedhart, R., Birbil, Ş. İ., & den Hertog, D. (2024). Finding regions of counterfactual explanations via robust optimization. INFORMS Journal on Computing, 36(5), 1316–1334. https://doi.org/10.1287/ijoc.2023.0153
  • Open Access
    Qiu, Z., Depauw, N., Gorissen, B. L., Madden, T., Adjari, A., den Hertog, D., & Bortfeld, T. (2024). A reference-point-method-based online proton treatment plan re-optimization strategy and a novel solution to planning constraint infeasibility problem. Physics in Medicine and Biology, 69(12), Article 125001. https://doi.org/10.1088/1361-6560/ad4a00
  • Open Access
    Fajemisin, A. O., Maragno, D., & den Hertog, D. (2024). Optimization with constraint learning: A framework and survey. European Journal of Operational Research, 314(1), 1-14. https://doi.org/10.1016/j.ejor.2023.04.041
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