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Dick Den Hertog

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Stienen, Valentijn & den Hertog, Dick & Wagenaar, J.C. & de Zegher, J.F., 2022. "Enhancing Digital Road Networks for Better Operations in Developing Countries," Discussion Paper 2022-014, Tilburg University, Center for Economic Research.

    Cited by:

    1. Stienen, Valentijn & den Hertog, Dick & Wagenaar, J.C. & Zegher, J.F., 2023. "Better Routing in Developing Regions : Weather and Satellite-Informed Road Speed Prediction," Other publications TiSEM de5c3c6d-44ee-45cf-b207-c, Tilburg University, School of Economics and Management.
    2. Stienen, Valentijn & den Hertog, Dick & Wagenaar, J.C. & Zegher, J.F., 2023. "Better Routing in Developing Regions : Weather and Satellite-Informed Road Speed Prediction," Discussion Paper 2023-025, Tilburg University, Center for Economic Research.

  2. Postek, K.S. & den Hertog, D., 2016. "Multi-stage Adjustable Robust Mixed-Integer Optimization via Iterative Splitting of the Uncertainty set (Revision of CentER Discussion Paper 2014-056)," Discussion Paper 2016-006, Tilburg University, Center for Economic Research.

    Cited by:

    1. Dimitris Bertsimas & Iain Dunning, 2016. "Multistage Robust Mixed-Integer Optimization with Adaptive Partitions," Operations Research, INFORMS, vol. 64(4), pages 980-998, August.

  3. Peters, Koen & Fleuren, H.A. & den Hertog, Dick & Kavelj, Mirjana & Silva, Sergio & Goncalves, Rui & Ergun, Ozlem & Soldner, Mallory, 2016. "The Nutritious Supply Chain : Optimizing Humanitarian Food Aid," Discussion Paper 2016-044, Tilburg University, Center for Economic Research.

    Cited by:

    1. Marleen Balvert & Dick den Hertog & Aswin L. Hoffmann, 2019. "Robust Optimization of Dose-Volume Metrics for Prostate HDR-Brachytherapy Incorporating Target and OAR Volume Delineation Uncertainties," INFORMS Journal on Computing, INFORMS, vol. 31(1), pages 100-114, February.
    2. Baharmand, Hossein & Comes, Tina & Lauras, Matthieu, 2019. "Bi-objective multi-layer location–allocation model for the immediate aftermath of sudden-onset disasters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 86-110.
    3. Chaurasia, Shailly & Pati, Rupesh Kumar & Padhi, Sidhartha S. & Gavirneni, Srinagesh, 2024. "Is localization better than globalization for sustainability? Evidence from the nutraceuticals industry for managing malnutrition in India," International Journal of Production Economics, Elsevier, vol. 268(C).

  4. Postek, Krzysztof & den Hertog, Dick & Kind, J. & Pustjens, Chris, 2016. "Adjustable Robust Strategies for Flood Protection," Discussion Paper 2016-038, Tilburg University, Center for Economic Research.

    Cited by:

    1. 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.

  5. Zhen, Jianzhe & den Hertog, Dick, 2015. "Robust Solutions for Systems of Uncertain Linear Equations," Discussion Paper 2015-044, Tilburg University, Center for Economic Research.

    Cited by:

    1. Zhen, J. & den Hertog, D., 2015. "Computing the Maximum Volume Inscribed Ellipsoid of a Polytopic Projection," Other publications TiSEM 4a51526e-c7f0-436f-aeaa-f, Tilburg University, School of Economics and Management.
    2. Jianzhe Zhen & Dick den Hertog, 2018. "Computing the Maximum Volume Inscribed Ellipsoid of a Polytopic Projection," INFORMS Journal on Computing, INFORMS, vol. 30(1), pages 31-42, February.

  6. Zhen, J. & den Hertog, D., 2015. "Computing the Maximum Volume Inscribed Ellipsoid of a Polytopic Projection," Discussion Paper 2015-004, Tilburg University, Center for Economic Research.

    Cited by:

    1. Jianzhe Zhen & Dick Hertog, 2017. "Centered solutions for uncertain linear equations," Computational Management Science, Springer, vol. 14(4), pages 585-610, October.
    2. de Ruiter, Frans, 2018. "Primal and dual approaches to adjustable robust optimization," Other publications TiSEM 4ce224f3-d9fc-4283-b5a6-4, Tilburg University, School of Economics and Management.
    3. Zhen, Jianzhe & den Hertog, Dick, 2015. "Robust Solutions for Systems of Uncertain Linear Equations," Discussion Paper 2015-044, Tilburg University, Center for Economic Research.

  7. Ben-Tal, A. & Brekelmans, Ruud & den Hertog, Dick & Vial, J.P., 2015. "Globalized Robust Optimization for Nonlinear Uncertain Inequalities," Discussion Paper 2015-031, Tilburg University, Center for Economic Research.

    Cited by:

    1. Wang, Jinpei & Bai, Xuejie & Liu, Yankui, 2023. "Globalized robust bilevel optimization model for hazmat transport network design considering reliability," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    2. Alireza Ghahtarani & Ahmed Saif & Alireza Ghasemi, 2022. "Robust portfolio selection problems: a comprehensive review," Operational Research, Springer, vol. 22(4), pages 3203-3264, September.
    3. Qinghe Sun & Li Chen & Mabel C. Chou & Qiang Meng, 2023. "Mitigating the financial risk behind emission cap compliance: A case in maritime transportation," Production and Operations Management, Production and Operations Management Society, vol. 32(1), pages 283-300, January.
    4. Feng Liu & Zhi Chen & Shuming Wang, 2023. "Globalized Distributionally Robust Counterpart," INFORMS Journal on Computing, INFORMS, vol. 35(5), pages 1120-1142, September.
    5. Ernst Roos & Dick den Hertog, 2020. "Reducing Conservatism in Robust Optimization," INFORMS Journal on Computing, INFORMS, vol. 32(4), pages 1109-1127, October.
    6. Guanyu Jin & Roger J. A. Laeven & Dick den Hertog & Aharon Ben-Tal, 2024. "Constructing Uncertainty Sets for Robust Risk Measures: A Composition of $\phi$-Divergences Approach to Combat Tail Uncertainty," Papers 2412.05234, arXiv.org.
    7. Roos, Ernst & den Hertog, Dick, 2019. "Reducing conservatism in robust optimization," Other publications TiSEM ad0238cd-de7a-4366-b487-b, Tilburg University, School of Economics and Management.
    8. Alireza Ghahtarani & Ahmed Saif & Alireza Ghasemi, 2021. "Robust Portfolio Selection Problems: A Comprehensive Review," Papers 2103.13806, arXiv.org, revised Jan 2022.
    9. Shuming Wang & Yan-Fu Li & Tong Jia, 2020. "Distributionally Robust Design for Redundancy Allocation," INFORMS Journal on Computing, INFORMS, vol. 32(3), pages 620-640, July.

  8. Postek, Krzysztof & Ben-Tal, A. & den Hertog, Dick & Melenberg, Bertrand, 2015. "Exact Robust Counterparts of Ambiguous Stochastic Constraints Under Mean and Dispersion Information," Discussion Paper 2015-030, Tilburg University, Center for Economic Research.

    Cited by:

    1. Zhen, Jianzhe & den Hertog, Dick, 2015. "Robust Solutions for Systems of Uncertain Linear Equations," Discussion Paper 2015-044, Tilburg University, Center for Economic Research.
    2. Liu, Yongchao & Xu, Huifu & Yang, Shu-Jung Sunny & Zhang, Jin, 2018. "Distributionally robust equilibrium for continuous games: Nash and Stackelberg models," European Journal of Operational Research, Elsevier, vol. 265(2), pages 631-643.
    3. Weijun Xie & Shabbir Ahmed, 2018. "Distributionally robust simple integer recourse," Computational Management Science, Springer, vol. 15(3), pages 351-367, October.
    4. Postek, Krzysztof & Romeijnders, Ward & den Hertog, Dick & van der Vlerk, Maartne H., 2016. "Efficient Methods for Several Classes of Ambiguous Stochastic Programming Problems under Mean-MAD Information," Discussion Paper 2016-039, Tilburg University, Center for Economic Research.
    5. Grani A. Hanasusanto & Vladimir Roitch & Daniel Kuhn & Wolfram Wiesemann, 2017. "Ambiguous Joint Chance Constraints Under Mean and Dispersion Information," Operations Research, INFORMS, vol. 65(3), pages 751-767, June.
    6. Wang, Yu & Zhang, Yu & Tang, Jiafu, 2019. "A distributionally robust optimization approach for surgery block allocation," European Journal of Operational Research, Elsevier, vol. 273(2), pages 740-753.
    7. Postek, Krzysztof & Romeijnders, Ward & den Hertog, Dick & van der Vlerk, Maartne H., 2016. "Efficient Methods for Several Classes of Ambiguous Stochastic Programming Problems under Mean-MAD Information," Other publications TiSEM a03f895f-b941-41a9-84e0-b, Tilburg University, School of Economics and Management.
    8. Zhen, Jianzhe & den Hertog, Dick, 2015. "Robust Solutions for Systems of Uncertain Linear Equations," Other publications TiSEM d072bdb9-4168-4522-90d8-1, Tilburg University, School of Economics and Management.
    9. Antonio J. Conejo & Nicholas G. Hall & Daniel Zhuoyu Long & Runhao Zhang, 2021. "Robust Capacity Planning for Project Management," INFORMS Journal on Computing, INFORMS, vol. 33(4), pages 1533-1550, October.

  9. de Ruiter, F.J.C.T. & Ben-Tal, A. & Brekelmans, R.C.M. & den Hertog, D., 2014. "Adjustable Robust Optimizations with Decision Rules Based on Inexact Revealed Data," Discussion Paper 2014-003, Tilburg University, Center for Economic Research.

    Cited by:

    1. Postek, Krzysztof & Ben-Tal, A. & den Hertog, Dick & Melenberg, Bertrand, 2015. "Exact Robust Counterparts of Ambiguous Stochastic Constraints Under Mean and Dispersion Information," Other publications TiSEM d718e419-a375-4707-b206-e, Tilburg University, School of Economics and Management.
    2. Michal Melamed & Aharon Ben-Tal & Boaz Golany, 2016. "On the average performance of the adjustable RO and its use as an offline tool for multi-period production planning under uncertainty," Computational Management Science, Springer, vol. 13(2), pages 293-315, April.
    3. Postek, Krzysztof & Ben-Tal, A. & den Hertog, Dick & Melenberg, Bertrand, 2015. "Exact Robust Counterparts of Ambiguous Stochastic Constraints Under Mean and Dispersion Information," Discussion Paper 2015-030, Tilburg University, Center for Economic Research.

  10. Postek, K.S. & den Hertog, D. & Melenberg, B., 2014. "Tractable Counterparts of Distributionally Robust Constraints on Risk Measures," Discussion Paper 2014-031, Tilburg University, Center for Economic Research.

    Cited by:

    1. Postek, Krzysztof & Ben-Tal, A. & den Hertog, Dick & Melenberg, Bertrand, 2015. "Exact Robust Counterparts of Ambiguous Stochastic Constraints Under Mean and Dispersion Information," Other publications TiSEM d718e419-a375-4707-b206-e, Tilburg University, School of Economics and Management.
    2. Postek, Krzysztof & Ben-Tal, A. & den Hertog, Dick & Melenberg, Bertrand, 2015. "Exact Robust Counterparts of Ambiguous Stochastic Constraints Under Mean and Dispersion Information," Discussion Paper 2015-030, Tilburg University, Center for Economic Research.

  11. Postek, K.S. & den Hertog, D., 2014. "Multi-stage Adjustable Robust Mixed-Integer Optimization via Iterative Splitting of the Uncertainty set," Discussion Paper 2014-056, Tilburg University, Center for Economic Research.

    Cited by:

    1. Josette Ayoub & Michael Poss, 2016. "Decomposition for adjustable robust linear optimization subject to uncertainty polytope," Computational Management Science, Springer, vol. 13(2), pages 219-239, April.
    2. Chen, Tengpeng & Cao, Yuhao & Qing, Xinlin & Zhang, Jingrui & Sun, Yuhao & Amaratunga, Gehan A.J., 2022. "Multi-energy microgrid robust energy management with a novel decision-making strategy," Energy, Elsevier, vol. 239(PA).
    3. Dimitris Bertsimas & Iain Dunning, 2016. "Multistage Robust Mixed-Integer Optimization with Adaptive Partitions," Operations Research, INFORMS, vol. 64(4), pages 980-998, August.
    4. Dimitris Bertsimas & Angelos Georghiou, 2015. "Design of Near Optimal Decision Rules in Multistage Adaptive Mixed-Integer Optimization," Operations Research, INFORMS, vol. 63(3), pages 610-627, June.

  12. Yanikoglu, I. & den Hertog, D. & Kleijnen, Jack P.C., 2013. "Adjustable Robust Parameter Design with Unknown Distributions," Discussion Paper 2013-022, Tilburg University, Center for Economic Research.

    Cited by:

    1. Kleijnen, Jack P.C., 2014. "Response Surface Methodology," Other publications TiSEM 7f9f17ee-db7f-4041-a686-d, Tilburg University, School of Economics and Management.
    2. Gorissen, B.L., 2014. "Practical robust optimization techniques and improved inverse planning of HDR brachytherapy," Other publications TiSEM 931e020a-2486-4e12-9731-3, Tilburg University, School of Economics and Management.
    3. Kleijnen, Jack P.C., 2013. "Simulation-Optimization via Kriging and Bootstrapping : A Survey (Revision of CentER DP 2011-064)," Discussion Paper 2013-064, Tilburg University, Center for Economic Research.
    4. Bram L. Gorissen, 2015. "Robust Fractional Programming," Journal of Optimization Theory and Applications, Springer, vol. 166(2), pages 508-528, August.

  13. Gorissen, B.L. & Ben-Tal, A. & Blanc, J.P.C. & den Hertog, D., 2012. "A New Method for Deriving Robust and Globalized Robust Solutions of Uncertain Linear Conic Optimization Problems Having General Convex Uncertainty Sets," Discussion Paper 2012-076, Tilburg University, Center for Economic Research.

    Cited by:

    1. Gabrel, Virginie & Murat, Cécile & Thiele, Aurélie, 2014. "Recent advances in robust optimization: An overview," European Journal of Operational Research, Elsevier, vol. 235(3), pages 471-483.
    2. Postek, K.S. & den Hertog, D., 2014. "Multi-stage Adjustable Robust Mixed-Integer Optimization via Iterative Splitting of the Uncertainty set," Discussion Paper 2014-056, Tilburg University, Center for Economic Research.

  14. Gorissen, B.L. & den Hertog, D., 2012. "Approximating the Pareto Set of Multiobjective Linear Programs via Robust Optimization," Discussion Paper 2012-031, Tilburg University, Center for Economic Research.

    Cited by:

    1. Feng Guo & Liguo Jiao, 2023. "A new scheme for approximating the weakly efficient solution set of vector rational optimization problems," Journal of Global Optimization, Springer, vol. 86(4), pages 905-930, August.
    2. Jae Hyoung Lee & Nithirat Sisarat & Liguo Jiao, 2021. "Multi-objective convex polynomial optimization and semidefinite programming relaxations," Journal of Global Optimization, Springer, vol. 80(1), pages 117-138, May.
    3. Dan A. Iancu & Nikolaos Trichakis, 2014. "Pareto Efficiency in Robust Optimization," Management Science, INFORMS, vol. 60(1), pages 130-147, January.

  15. Chahim, M. & Brekelmans, R.C.M. & den Hertog, D. & Kort, P.M., 2012. "An Impulse Control Approach to Dike Height Optimization (Revised version of CentER DP 2011-097)," Discussion Paper 2012-079, Tilburg University, Center for Economic Research.

    Cited by:

    1. Grames, Johanna & Prskawetz, Alexia & Grass, Dieter & Viglione, Alberto & Blöschl, Günter, 2015. "Modelling the interaction between flooding events and economic growth," ECON WPS - Working Papers in Economic Theory and Policy 04/2015, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit.
    2. Peter Zwaneveld & Gerard Verweij, 2018. "Economic Decision Problems in Multi-Level Flood Prevention: a new graph-based approach used for real world applications," CPB Discussion Paper 380, CPB Netherlands Bureau for Economic Policy Analysis.
    3. Peter Zwaneveld & Gerard Verweij, 2014. "Safe Dike Heights at Minimal Costs: An Integer Programming Approach," CPB Discussion Paper 277, CPB Netherlands Bureau for Economic Policy Analysis.

  16. Ben-Tal, A. & den Hertog, D. & Vial, J.P., 2012. "Deriving Robust Counterparts of Nonlinear Uncertain Inequalities," Discussion Paper 2012-053, Tilburg University, Center for Economic Research.

    Cited by:

    1. de Ruiter, F.J.C.T. & Ben-Tal, A. & Brekelmans, R.C.M. & den Hertog, D., 2014. "Adjustable Robust Optimizations with Decision Rules Based on Inexact Revealed Data," Discussion Paper 2014-003, Tilburg University, Center for Economic Research.
    2. Soleimanian, Azam & Salmani Jajaei, Ghasemali, 2013. "Robust nonlinear optimization with conic representable uncertainty set," European Journal of Operational Research, Elsevier, vol. 228(2), pages 337-344.
    3. Postek, K.S. & den Hertog, D. & Melenberg, B., 2014. "Tractable Counterparts of Distributionally Robust Constraints on Risk Measures," Other publications TiSEM c3a1df3e-f338-4989-806a-d, Tilburg University, School of Economics and Management.
    4. Postek, K.S. & den Hertog, D. & Melenberg, B., 2014. "Tractable Counterparts of Distributionally Robust Constraints on Risk Measures," Discussion Paper 2014-031, Tilburg University, Center for Economic Research.
    5. Yanikoglu, I. & den Hertog, D., 2011. "Safe Approximations of Chance Constraints Using Historical Data," Discussion Paper 2011-137, Tilburg University, Center for Economic Research.
    6. Gabrel, Virginie & Murat, Cécile & Thiele, Aurélie, 2014. "Recent advances in robust optimization: An overview," European Journal of Operational Research, Elsevier, vol. 235(3), pages 471-483.
    7. Gorissen, Bram L. & den Hertog, Dick, 2013. "Robust counterparts of inequalities containing sums of maxima of linear functions," European Journal of Operational Research, Elsevier, vol. 227(1), pages 30-43.
    8. Frans J. C. T. Ruiter & Aharon Ben-Tal & Ruud C. M. Brekelmans & Dick Hertog, 2017. "Robust optimization of uncertain multistage inventory systems with inexact data in decision rules," Computational Management Science, Springer, vol. 14(1), pages 45-66, January.
    9. Postek, K.S. & den Hertog, D., 2014. "Multi-stage Adjustable Robust Mixed-Integer Optimization via Iterative Splitting of the Uncertainty set," Discussion Paper 2014-056, Tilburg University, Center for Economic Research.
    10. Yanikoglu, I. & den Hertog, D. & Kleijnen, Jack P.C., 2013. "Adjustable Robust Parameter Design with Unknown Distributions," Discussion Paper 2013-022, Tilburg University, Center for Economic Research.
    11. Postek, K.S. & den Hertog, D., 2016. "Multi-stage Adjustable Robust Mixed-Integer Optimization via Iterative Splitting of the Uncertainty set (Revision of CentER Discussion Paper 2014-056)," Discussion Paper 2016-006, Tilburg University, Center for Economic Research.
    12. Gorissen, B.L. & Ben-Tal, A. & Blanc, J.P.C. & den Hertog, D., 2012. "A New Method for Deriving Robust and Globalized Robust Solutions of Uncertain Linear Conic Optimization Problems Having General Convex Uncertainty Sets," Discussion Paper 2012-076, Tilburg University, Center for Economic Research.
    13. Gorissen, B.L. & den Hertog, D., 2011. "Robust Counterparts of Inequalities Containing Sums of Maxima of Linear Functions," Discussion Paper 2011-115, Tilburg University, Center for Economic Research.
    14. Ben-Tal, A. & Brekelmans, Ruud & den Hertog, Dick & Vial, J.P., 2015. "Globalized Robust Optimization for Nonlinear Uncertain Inequalities," Other publications TiSEM 05c1b5b6-5b26-46f6-bd3a-a, Tilburg University, School of Economics and Management.
    15. Lanah Evers & Twan Dollevoet & Ana Barros & Herman Monsuur, 2014. "Robust UAV mission planning," Annals of Operations Research, Springer, vol. 222(1), pages 293-315, November.

  17. Ben-Tal, A. & den Hertog, D. & De Waegenaere, A.M.B. & Melenberg, B. & Rennen, G., 2011. "Robust Solutions of Optimization Problems Affected by Uncertain Probabilities," Discussion Paper 2011-061, Tilburg University, Center for Economic Research.

    Cited by:

    1. Branger, Nicole & Mahayni, Antje & Zieling, Daniel, 2015. "Robustness of stable volatility strategies," Journal of Economic Dynamics and Control, Elsevier, vol. 60(C), pages 134-151.
    2. Dimitris Bertsimas & Shimrit Shtern & Bradley Sturt, 2023. "A Data-Driven Approach to Multistage Stochastic Linear Optimization," Management Science, INFORMS, vol. 69(1), pages 51-74, January.
    3. Wang, Changjun & Chen, Shutong, 2020. "A distributionally robust optimization for blood supply network considering disasters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
    4. Zhi Chen & Melvyn Sim & Huan Xu, 2019. "Distributionally Robust Optimization with Infinitely Constrained Ambiguity Sets," Operations Research, INFORMS, vol. 67(5), pages 1328-1344, September.
    5. Wang, Jinpei & Bai, Xuejie & Liu, Yankui, 2023. "Globalized robust bilevel optimization model for hazmat transport network design considering reliability," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    6. Lihua Lei & Roshni Sahoo & Stefan Wager, 2023. "Policy Learning under Biased Sample Selection," Papers 2304.11735, arXiv.org.
    7. Corlu, Canan G. & Akcay, Alp & Xie, Wei, 2020. "Stochastic simulation under input uncertainty: A Review," Operations Research Perspectives, Elsevier, vol. 7(C).
    8. David Blake & Marco Morales & Wenjun Zhu & Ken Seng Tan & Chou-Wen Wang, 2017. "Special Edition: Longevity 10 – The Tenth International Longevity Risk and Capital Markets Solutions Conference," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(S1), pages 477-493, April.
    9. Jochen Schlapp & Moritz Fleischmann & Danja Sonntag, 2022. "Inventory timing: How to serve a stochastic season," Production and Operations Management, Production and Operations Management Society, vol. 31(7), pages 2891-2906, July.
    10. Zhu, Zhicheng & Xiang, Yisha & Zhao, Ming & Shi, Yue, 2023. "Data-driven remanufacturing planning with parameter uncertainty," European Journal of Operational Research, Elsevier, vol. 309(1), pages 102-116.
    11. Guanglin Xu & Samuel Burer, 2018. "A data-driven distributionally robust bound on the expected optimal value of uncertain mixed 0-1 linear programming," Computational Management Science, Springer, vol. 15(1), pages 111-134, January.
    12. Fu, Chenyi & Zhu, Ning & Ma, Shoufeng & Liu, Ronghui, 2022. "A two-stage robust approach to integrated station location and rebalancing vehicle service design in bike-sharing systems," European Journal of Operational Research, Elsevier, vol. 298(3), pages 915-938.
    13. Shanshan Wang & Erick Delage, 2024. "A Column Generation Scheme for Distributionally Robust Multi-Item Newsvendor Problems," INFORMS Journal on Computing, INFORMS, vol. 36(3), pages 849-867, May.
    14. Thomas Kruse & Judith C. Schneider & Nikolaus Schweizer, 2019. "Technical Note—The Joint Impact of F -Divergences and Reference Models on the Contents of Uncertainty Sets," Operations Research, INFORMS, vol. 67(2), pages 428-435, March.
    15. Jacob Dorn & Kevin Guo & Nathan Kallus, 2021. "Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal Inference with Unmeasured Confounding," Papers 2112.11449, arXiv.org, revised Jul 2022.
    16. Zheng Cui & Jianpeng Ding & Daniel Zhuoyu Long & Lianmin Zhang, 2023. "Target‐based resource pooling problem," Production and Operations Management, Production and Operations Management Society, vol. 32(4), pages 1187-1204, April.
    17. Carrillo-Galvez, Adrian & Flores-Bazán, Fabián & Parra, Enrique López, 2022. "Effect of models uncertainties on the emission constrained economic dispatch. A prediction interval-based approach," Applied Energy, Elsevier, vol. 317(C).
    18. Cohen, Asaf & Saha, Subhamay, 2021. "Asymptotic optimality of the generalized cμ rule under model uncertainty," Stochastic Processes and their Applications, Elsevier, vol. 136(C), pages 206-236.
    19. Jun-ya Gotoh & Michael Jong Kim & Andrew E. B. Lim, 2020. "Worst-case sensitivity," Papers 2010.10794, arXiv.org.
    20. Ahmadreza Marandi & Aharon Ben-Tal & Dick den Hertog & Bertrand Melenberg, 2022. "Extending the Scope of Robust Quadratic Optimization," INFORMS Journal on Computing, INFORMS, vol. 34(1), pages 211-226, January.
    21. Tommi Ekholm & Erin Baker, 2022. "Multiple Beliefs, Dominance and Dynamic Consistency," Management Science, INFORMS, vol. 68(1), pages 529-540, January.
    22. Yongzhen Li & Xueping Li & Jia Shu & Miao Song & Kaike Zhang, 2022. "A General Model and Efficient Algorithms for Reliable Facility Location Problem Under Uncertain Disruptions," INFORMS Journal on Computing, INFORMS, vol. 34(1), pages 407-426, January.
    23. Carlsson, John Gunnar & Behroozi, Mehdi, 2017. "Worst-case demand distributions in vehicle routing," European Journal of Operational Research, Elsevier, vol. 256(2), pages 462-472.
    24. Serrano, Breno & Minner, Stefan & Schiffer, Maximilian & Vidal, Thibaut, 2024. "Bilevel optimization for feature selection in the data-driven newsvendor problem," European Journal of Operational Research, Elsevier, vol. 315(2), pages 703-714.
    25. Aakil M. Caunhye & Douglas Alem, 2023. "Practicable robust stochastic optimization under divergence measures with an application to equitable humanitarian response planning," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(3), pages 759-806, September.
    26. Chengzhang Li & Mengshi Lu, 2023. "Joint pricing and inventory management under minimax regret," Production and Operations Management, Production and Operations Management Society, vol. 32(8), pages 2529-2545, August.
    27. Andrew J. Keith & Darryl K. Ahner, 2021. "A survey of decision making and optimization under uncertainty," Annals of Operations Research, Springer, vol. 300(2), pages 319-353, May.
    28. Aleksandrina Goeva & Henry Lam & Huajie Qian & Bo Zhang, 2019. "Optimization-Based Calibration of Simulation Input Models," Operations Research, INFORMS, vol. 67(5), pages 1362-1382, September.
    29. Wang, Yu & Zhang, Yu & Tang, Jiafu, 2024. "Wasserstein distributionally robust surgery scheduling with elective and emergency patients," European Journal of Operational Research, Elsevier, vol. 314(2), pages 509-522.
    30. Yu Wang & Yu Zhang & Minglong Zhou & Jiafu Tang, 2023. "Feature‐driven robust surgery scheduling," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1921-1938, June.
    31. Mengshi Lu & Zuo‐Jun Max Shen, 2021. "A Review of Robust Operations Management under Model Uncertainty," Production and Operations Management, Production and Operations Management Society, vol. 30(6), pages 1927-1943, June.
    32. Sanjay Jain & Jónas Oddur Jónasson & Jean Pauphilet & Kamalini Ramdas, 2023. "Robust combination testing: methods and application to COVID-19 detection," Economics Series Working Papers 1009, University of Oxford, Department of Economics.
    33. Ben-Tal, A. & den Hertog, D. & Vial, J.P., 2012. "Deriving Robust Counterparts of Nonlinear Uncertain Inequalities," Other publications TiSEM 130bc0dc-cebe-40dc-8da9-a, Tilburg University, School of Economics and Management.
    34. Ketkov, Sergey S., 2024. "A study of distributionally robust mixed-integer programming with Wasserstein metric: on the value of incomplete data," European Journal of Operational Research, Elsevier, vol. 313(2), pages 602-615.
    35. Ran Ji & Miguel A. Lejeune, 2021. "Data-Driven Optimization of Reward-Risk Ratio Measures," INFORMS Journal on Computing, INFORMS, vol. 33(3), pages 1120-1137, July.
    36. Postek, K.S. & den Hertog, D. & Melenberg, B., 2014. "Tractable Counterparts of Distributionally Robust Constraints on Risk Measures," Other publications TiSEM c3a1df3e-f338-4989-806a-d, Tilburg University, School of Economics and Management.
    37. Karthik Natarajan & Melvyn Sim & Joline Uichanco, 2018. "Asymmetry and Ambiguity in Newsvendor Models," Management Science, INFORMS, vol. 64(7), pages 3146-3167, July.
    38. Shubhechyya Ghosal & Wolfram Wiesemann, 2020. "The Distributionally Robust Chance-Constrained Vehicle Routing Problem," Operations Research, INFORMS, vol. 68(3), pages 716-732, May.
    39. Black, Ben & Ainslie, Russell & Dokka, Trivikram & Kirkbride, Christopher, 2023. "Distributionally robust resource planning under binomial demand intakes," European Journal of Operational Research, Elsevier, vol. 306(1), pages 227-242.
    40. Soumyadip Ghosh & Henry Lam, 2019. "Robust Analysis in Stochastic Simulation: Computation and Performance Guarantees," Operations Research, INFORMS, vol. 67(1), pages 232-249, January.
    41. Postek, K.S. & den Hertog, D. & Melenberg, B., 2014. "Tractable Counterparts of Distributionally Robust Constraints on Risk Measures," Discussion Paper 2014-031, Tilburg University, Center for Economic Research.
    42. Maximilian Blesch & Philipp Eisenhauer, 2023. "Robust Decision-Making under Risk and Ambiguity," Rationality and Competition Discussion Paper Series 463, CRC TRR 190 Rationality and Competition.
    43. L. Jeff Hong & Zhiyuan Huang & Henry Lam, 2021. "Learning-Based Robust Optimization: Procedures and Statistical Guarantees," Management Science, INFORMS, vol. 67(6), pages 3447-3467, June.
    44. Gabrel, Virginie & Murat, Cécile & Thiele, Aurélie, 2014. "Recent advances in robust optimization: An overview," European Journal of Operational Research, Elsevier, vol. 235(3), pages 471-483.
    45. Yang, Cheng-Hu & Su, Xiao-Li & Ma, Xin & Talluri, Srinivas, 2024. "A data-driven distributionally robust optimization approach for the core acquisition problem," European Journal of Operational Research, Elsevier, vol. 318(1), pages 253-268.
    46. R. Tyrrell Rockafellar, 2024. "Distributional robustness, stochastic divergences, and the quadrangle of risk," Computational Management Science, Springer, vol. 21(1), pages 1-30, June.
    47. Li, Jing, 2018. "Essays on model uncertainty in financial models," Other publications TiSEM 202cd910-7ef1-4db4-94ae-d, Tilburg University, School of Economics and Management.
    48. Postek, Krzysztof & Ben-Tal, A. & den Hertog, Dick & Melenberg, Bertrand, 2015. "Exact Robust Counterparts of Ambiguous Stochastic Constraints Under Mean and Dispersion Information," Other publications TiSEM d718e419-a375-4707-b206-e, Tilburg University, School of Economics and Management.
    49. Carrizosa, Emilio & Goerigk, Marc & Schöbel, Anita, 2017. "A biobjective approach to recoverable robustness based on location planning," European Journal of Operational Research, Elsevier, vol. 261(2), pages 421-435.
    50. Wolfram Wiesemann & Daniel Kuhn & Melvyn Sim, 2014. "Distributionally Robust Convex Optimization," Operations Research, INFORMS, vol. 62(6), pages 1358-1376, December.
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    88. Zhi Chen & Weijun Xie, 2021. "Regret in the Newsvendor Model with Demand and Yield Randomness," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4176-4197, November.
    89. Feng Liu & Zhi Chen & Shuming Wang, 2023. "Globalized Distributionally Robust Counterpart," INFORMS Journal on Computing, INFORMS, vol. 35(5), pages 1120-1142, September.
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    92. Maximilian Blesch & Philipp Eisenhauer, 2021. "Robust decision-making under risk and ambiguity," Papers 2104.12573, arXiv.org, revised Oct 2021.
    93. Adrián Esteban-Pérez & Juan M. Morales, 2022. "Partition-based distributionally robust optimization via optimal transport with order cone constraints," 4OR, Springer, vol. 20(3), pages 465-497, September.
    94. Philipp Eisenhauer & Janos Gabler & Lena Janys, 2021. "Structural Models for Policy-Making: Coping with Parametric Uncertainty," ECONtribute Discussion Papers Series 082, University of Bonn and University of Cologne, Germany.
    95. Eisenhauer, Philipp & Gabler, Janos & Janys, Lena, 2021. "Structural Models for Policy-Making: Coping with Parametric Uncertainty," IZA Discussion Papers 14317, Institute of Labor Economics (IZA).
    96. van Eekelen, Wouter, 2023. "Distributionally robust views on queues and related stochastic models," Other publications TiSEM 9b99fc05-9d68-48eb-ae8c-9, Tilburg University, School of Economics and Management.
    97. Gorissen, B.L. & Ben-Tal, A. & Blanc, J.P.C. & den Hertog, D., 2012. "A New Method for Deriving Robust and Globalized Robust Solutions of Uncertain Linear Conic Optimization Problems Having General Convex Uncertainty Sets," Discussion Paper 2012-076, Tilburg University, Center for Economic Research.
    98. Emerson Melo, 2022. "On the Distributional Robustness of Finite Rational Inattention Models," Papers 2208.03370, arXiv.org, revised May 2023.
    99. Ruiz, C. & Conejo, A.J., 2015. "Robust transmission expansion planning," European Journal of Operational Research, Elsevier, vol. 242(2), pages 390-401.
    100. Ben-Tal, A. & Brekelmans, Ruud & den Hertog, Dick & Vial, J.P., 2015. "Globalized Robust Optimization for Nonlinear Uncertain Inequalities," Other publications TiSEM 05c1b5b6-5b26-46f6-bd3a-a, Tilburg University, School of Economics and Management.
    101. Zhaolin Hu & L. Jeff Hong, 2022. "Robust Simulation with Likelihood-Ratio Constrained Input Uncertainty," INFORMS Journal on Computing, INFORMS, vol. 34(4), pages 2350-2367, July.
    102. Soroush Saghafian & Brian Tomlin, 2016. "The Newsvendor under Demand Ambiguity: Combining Data with Moment and Tail Information," Operations Research, INFORMS, vol. 64(1), pages 167-185, February.
    103. Haolin Ruan & Zhi Chen & Chin Pang Ho, 2023. "Adjustable Distributionally Robust Optimization with Infinitely Constrained Ambiguity Sets," INFORMS Journal on Computing, INFORMS, vol. 35(5), pages 1002-1023, September.
    104. Postek, K.S. & den Hertog, D. & Melenberg, B., 2015. "Computationally Tractable Counterparts of Distributionally Robust Constraints on Risk Measures (revision of CentER DP 2014-031)," Other publications TiSEM eeb9c898-6943-4199-b747-3, Tilburg University, School of Economics and Management.
    105. Meysam Cheramin & Jianqiang Cheng & Ruiwei Jiang & Kai Pan, 2022. "Computationally Efficient Approximations for Distributionally Robust Optimization Under Moment and Wasserstein Ambiguity," INFORMS Journal on Computing, INFORMS, vol. 34(3), pages 1768-1794, May.
    106. Thomas Kruse & Judith C. Schneider & Nikolaus Schweizer, 2021. "A Toolkit for Robust Risk Assessment Using F -Divergences," Management Science, INFORMS, vol. 67(10), pages 6529-6552, October.
    107. Luyun Wang & Bo Zhou, 2023. "A Modified Gradient Method for Distributionally Robust Logistic Regression over the Wasserstein Ball," Mathematics, MDPI, vol. 11(11), pages 1-15, May.
    108. Yu, Pengfei & Gao, Ruotian & Xing, Wenxun, 2021. "Maximizing perturbation radii for robust convex quadratically constrained quadratic programs," European Journal of Operational Research, Elsevier, vol. 293(1), pages 50-64.
    109. Schneider, Judith C. & Schweizer, Nikolaus, 2015. "Robust measurement of (heavy-tailed) risks: Theory and implementation," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 183-203.
    110. Chen, Qingxin & Ma, Shoufeng & Li, Hongming & Zhu, Ning & He, Qiao-Chu, 2024. "Optimizing bike rebalancing strategies in free-floating bike-sharing systems: An enhanced distributionally robust approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
    111. Park, Jangho & Bayraksan, Güzin, 2023. "A multistage distributionally robust optimization approach to water allocation under climate uncertainty," European Journal of Operational Research, Elsevier, vol. 306(2), pages 849-871.
    112. Zhu, Shushang & Fan, Minjie & Li, Duan, 2014. "Portfolio management with robustness in both prediction and decision: A mixture model based learning approach," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 1-25.
    113. Guevara, Esnil & Babonneau, Fréderic & Homem-de-Mello, Tito & Moret, Stefano, 2020. "A machine learning and distributionally robust optimization framework for strategic energy planning under uncertainty," Applied Energy, Elsevier, vol. 271(C).
    114. Rahimian, Hamed & Bayraksan, Güzin & Homem-de-Mello, Tito, 2019. "Controlling risk and demand ambiguity in newsvendor models," European Journal of Operational Research, Elsevier, vol. 279(3), pages 854-868.
    115. Basciftci, Beste & Ahmed, Shabbir & Shen, Siqian, 2021. "Distributionally robust facility location problem under decision-dependent stochastic demand," European Journal of Operational Research, Elsevier, vol. 292(2), pages 548-561.
    116. Dominic J. Breuer & Shashank Kapadia & Nadia Lahrichi & James C. Benneyan, 2022. "Joint robust optimization of bed capacity, nurse staffing, and care access under uncertainty," Annals of Operations Research, Springer, vol. 312(2), pages 673-689, May.
    117. Postek, K.S. & den Hertog, D. & Melenberg, B., 2015. "Computationally Tractable Counterparts of Distributionally Robust Constraints on Risk Measures (revision of CentER DP 2014-031)," Discussion Paper 2015-047, Tilburg University, Center for Economic Research.
    118. Gorissen, Bram L. & Yanıkoğlu, İhsan & den Hertog, Dick, 2015. "A practical guide to robust optimization," Omega, Elsevier, vol. 53(C), pages 124-137.
    119. Ben-Tal, A. & den Hertog, D. & Vial, J.P., 2012. "Deriving Robust Counterparts of Nonlinear Uncertain Inequalities," Discussion Paper 2012-053, Tilburg University, Center for Economic Research.
    120. Bram L. Gorissen, 2015. "Robust Fractional Programming," Journal of Optimization Theory and Applications, Springer, vol. 166(2), pages 508-528, August.
    121. Sosung Baik & Sung-Ha Hwang, 2022. "Revenue Comparisons of Auctions with Ambiguity Averse Sellers," Papers 2211.12669, arXiv.org.
    122. Balter, Anne G. & Pelsser, Antoon, 2020. "Pricing and hedging in incomplete markets with model uncertainty," European Journal of Operational Research, Elsevier, vol. 282(3), pages 911-925.
    123. Anulekha Dhara & Bikramjit Das & Karthik Natarajan, 2017. "Worst-Case Expected Shortfall with Univariate and Bivariate Marginals," Papers 1701.04167, arXiv.org.
    124. Maximilian Blesch & Philipp Eisenhauer, 2021. "Robust Decision-Making Under Risk and Ambiguity," ECONtribute Discussion Papers Series 104, University of Bonn and University of Cologne, Germany.
    125. Jonathan Yu-Meng Li, 2021. "Inverse Optimization of Convex Risk Functions," Management Science, INFORMS, vol. 67(11), pages 7113-7141, November.
    126. Pesenti, Silvana M. & Millossovich, Pietro & Tsanakas, Andreas, 2019. "Reverse sensitivity testing: What does it take to break the model?," European Journal of Operational Research, Elsevier, vol. 274(2), pages 654-670.
    127. Thuener Silva & Davi Valladão & Tito Homem-de-Mello, 2021. "A data-driven approach for a class of stochastic dynamic optimization problems," Computational Optimization and Applications, Springer, vol. 80(3), pages 687-729, December.
    128. Liu, Ming & Liu, Xin & Chu, Feng & Zheng, Feifeng & Chu, Chengbin, 2019. "Distributionally robust inventory routing problem to maximize the service level under limited budget," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 190-211.
    129. Taozeng Zhu & Jingui Xie & Melvyn Sim, 2022. "Joint Estimation and Robustness Optimization," Management Science, INFORMS, vol. 68(3), pages 1659-1677, March.
    130. Zhi Chen & Peng Xiong, 2023. "RSOME in Python: An Open-Source Package for Robust Stochastic Optimization Made Easy," INFORMS Journal on Computing, INFORMS, vol. 35(4), pages 717-724, July.
    131. Ben-Tal, A. & den Hertog, D. & Laurent, M., 2011. "Hidden Convexity in Partially Separable Optimization," Discussion Paper 2011-070, Tilburg University, Center for Economic Research.
    132. Shunichi Ohmori, 2021. "A Predictive Prescription Using Minimum Volume k -Nearest Neighbor Enclosing Ellipsoid and Robust Optimization," Mathematics, MDPI, vol. 9(2), pages 1-16, January.
    133. Pavel Bazovkin & Karl Mosler, 2015. "A general solution for robust linear programs with distortion risk constraints," Annals of Operations Research, Springer, vol. 229(1), pages 103-120, June.
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    135. Antonio J. Conejo & Nicholas G. Hall & Daniel Zhuoyu Long & Runhao Zhang, 2021. "Robust Capacity Planning for Project Management," INFORMS Journal on Computing, INFORMS, vol. 33(4), pages 1533-1550, October.
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  18. Ben-Tal, A. & den Hertog, D. & Laurent, M., 2011. "Hidden Convexity in Partially Separable Optimization," Discussion Paper 2011-070, Tilburg University, Center for Economic Research.

    Cited by:

    1. Ben-Tal, A. & den Hertog, D. & Vial, J.P., 2012. "Deriving Robust Counterparts of Nonlinear Uncertain Inequalities," Other publications TiSEM 130bc0dc-cebe-40dc-8da9-a, Tilburg University, School of Economics and Management.
    2. 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.
    3. Ben-Tal, A. & den Hertog, D. & Vial, J.P., 2012. "Deriving Robust Counterparts of Nonlinear Uncertain Inequalities," Discussion Paper 2012-053, Tilburg University, Center for Economic Research.

  19. Gorissen, B.L. & den Hertog, D., 2011. "Robust Counterparts of Inequalities Containing Sums of Maxima of Linear Functions," Discussion Paper 2011-115, Tilburg University, Center for Economic Research.

    Cited by:

    1. Soleimanian, Azam & Salmani Jajaei, Ghasemali, 2013. "Robust nonlinear optimization with conic representable uncertainty set," European Journal of Operational Research, Elsevier, vol. 228(2), pages 337-344.
    2. Gorissen, Bram L. & Yanıkoğlu, İhsan & den Hertog, Dick, 2015. "A practical guide to robust optimization," Omega, Elsevier, vol. 53(C), pages 124-137.

  20. Yanikoglu, I. & den Hertog, D., 2011. "Safe Approximations of Chance Constraints Using Historical Data," Discussion Paper 2011-137, Tilburg University, Center for Economic Research.

    Cited by:

    1. Yanikoglu, I. & den Hertog, D. & Kleijnen, Jack P.C., 2013. "Adjustable Robust Parameter Design with Unknown Distributions," Discussion Paper 2013-022, Tilburg University, Center for Economic Research.

  21. Ben-Tal, A. & den Hertog, D., 2011. "Immunizing Conic Quadratic Optimization Problems Against Implementation Errors," Discussion Paper 2011-060, Tilburg University, Center for Economic Research.

    Cited by:

    1. Jornada, Daniel & Leon, V. Jorge, 2016. "Biobjective robust optimization over the efficient set for Pareto set reduction," European Journal of Operational Research, Elsevier, vol. 252(2), pages 573-586.
    2. Ben-Tal, A. & den Hertog, D. & Vial, J.P., 2012. "Deriving Robust Counterparts of Nonlinear Uncertain Inequalities," Other publications TiSEM 130bc0dc-cebe-40dc-8da9-a, Tilburg University, School of Economics and Management.
    3. Rahal, Said & Papageorgiou, Dimitri J. & Li, Zukui, 2021. "Hybrid strategies using linear and piecewise-linear decision rules for multistage adaptive linear optimization," European Journal of Operational Research, Elsevier, vol. 290(3), pages 1014-1030.
    4. Gabrel, Virginie & Murat, Cécile & Thiele, Aurélie, 2014. "Recent advances in robust optimization: An overview," European Journal of Operational Research, Elsevier, vol. 235(3), pages 471-483.
    5. Postek, Krzysztof & Ben-Tal, A. & den Hertog, Dick & Melenberg, Bertrand, 2015. "Exact Robust Counterparts of Ambiguous Stochastic Constraints Under Mean and Dispersion Information," Other publications TiSEM d718e419-a375-4707-b206-e, Tilburg University, School of Economics and Management.
    6. Ben-Tal, A. & den Hertog, D. & Laurent, M., 2011. "Hidden Convexity in Partially Separable Optimization," Other publications TiSEM 56b82c13-ee8f-4072-be97-f, Tilburg University, School of Economics and Management.
    7. Ben-Tal, A. & den Hertog, D. & Vial, J.P., 2012. "Deriving Robust Counterparts of Nonlinear Uncertain Inequalities," Discussion Paper 2012-053, Tilburg University, Center for Economic Research.
    8. Ben-Tal, A. & den Hertog, D. & Laurent, M., 2011. "Hidden Convexity in Partially Separable Optimization," Discussion Paper 2011-070, Tilburg University, Center for Economic Research.
    9. Postek, Krzysztof & Ben-Tal, A. & den Hertog, Dick & Melenberg, Bertrand, 2015. "Exact Robust Counterparts of Ambiguous Stochastic Constraints Under Mean and Dispersion Information," Discussion Paper 2015-030, Tilburg University, Center for Economic Research.

  22. Rennen, G. & van Dam, E.R. & den Hertog, D., 2009. "Enhancement of Sandwich Algorithms for Approximating Higher Dimensional Convex Pareto Sets," Discussion Paper 2009-52, Tilburg University, Center for Economic Research.

    Cited by:

    1. Gorissen, B.L. & den Hertog, D., 2012. "Approximating the Pareto Set of Multiobjective Linear Programs via Robust Optimization," Discussion Paper 2012-031, Tilburg University, Center for Economic Research.

  23. Rennen, G. & Husslage, B.G.M. & van Dam, E.R. & den Hertog, D., 2009. "Nested Maximin Latin Hypercube Designs," Discussion Paper 2009-06, Tilburg University, Center for Economic Research.

    Cited by:

    1. Weiyan Mu & Chengxin Liu & Shifeng Xiong, 2023. "Nested Maximum Entropy Designs for Computer Experiments," Mathematics, MDPI, vol. 11(16), pages 1-12, August.
    2. van Dam, E.R. & Husslage, B.G.M. & den Hertog, D., 2004. "One-Dimensional Nested Maximin Designs," Discussion Paper 2004-66, Tilburg University, Center for Economic Research.
    3. Jin Xu & Jiajie Chen & Peter Z. G. Qian, 2015. "Sequentially Refined Latin Hypercube Designs: Reusing Every Point," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1696-1706, December.
    4. van Dam, E.R., 2008. "Two-dimensional maximin Latin hypercube designs," Other publications TiSEM 61788dd1-b1b5-4c81-9151-8, Tilburg University, School of Economics and Management.
    5. Hao Chen & Yan Zhang & Xue Yang, 2021. "Uniform projection nested Latin hypercube designs," Statistical Papers, Springer, vol. 62(4), pages 2031-2045, August.
    6. Shields, Michael D. & Teferra, Kirubel & Hapij, Adam & Daddazio, Raymond P., 2015. "Refined Stratified Sampling for efficient Monte Carlo based uncertainty quantification," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 310-325.
    7. Razmi, Afshin & Rahbar, Morteza & Bemanian, Mohammadreza, 2022. "PCA-ANN integrated NSGA-III framework for dormitory building design optimization: Energy efficiency, daylight, and thermal comfort," Applied Energy, Elsevier, vol. 305(C).
    8. Chen, Ray-Bing & Hsu, Yen-Wen & Hung, Ying & Wang, Weichung, 2014. "Discrete particle swarm optimization for constructing uniform design on irregular regions," Computational Statistics & Data Analysis, Elsevier, vol. 72(C), pages 282-297.
    9. Husslage, B.G.M. & Rennen, G. & van Dam, E.R. & den Hertog, D., 2011. "Space-filling Latin hypercube designs for computer experiments," Other publications TiSEM 694f73df-a373-46a7-aa4d-1, Tilburg University, School of Economics and Management.
    10. Peyman Bahrami & Farzan Sahari Moghaddam & Lesley A. James, 2022. "A Review of Proxy Modeling Highlighting Applications for Reservoir Engineering," Energies, MDPI, vol. 15(14), pages 1-32, July.
    11. Ray-Bing Chen & Ying-Chao Hung & Weichung Wang & Sung-Wei Yen, 2013. "Contour estimation via two fidelity computer simulators under limited resources," Computational Statistics, Springer, vol. 28(4), pages 1813-1834, August.

  24. Husslage, B.G.M. & Rennen, G. & van Dam, E.R. & den Hertog, D., 2008. "Space-Filling Latin Hypercube Designs For Computer Experiments (Revision of CentER DP 2006-18)," Discussion Paper 2008-104, Tilburg University, Center for Economic Research.

    Cited by:

    1. Rennen, G. & Husslage, B.G.M. & van Dam, E.R. & den Hertog, D., 2010. "Nested maximin Latin hypercube designs," Other publications TiSEM 7f0703e8-06bc-45b4-886c-3, Tilburg University, School of Economics and Management.
    2. van Dam, E.R. & Rennen, G. & Husslage, B.G.M., 2007. "Bounds for Maximin Latin Hypercube Designs," Discussion Paper 2007-16, Tilburg University, Center for Economic Research.
    3. A. Jourdan & J. Franco, 2010. "Optimal Latin hypercube designs for the Kullback–Leibler criterion," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(4), pages 341-351, December.
    4. János Pintér & Zoltán Horváth, 2013. "Integrated experimental design and nonlinear optimization to handle computationally expensive models under resource constraints," Journal of Global Optimization, Springer, vol. 57(1), pages 191-215, September.

  25. Blanc, J.P.C. & den Hertog, D., 2008. "On Markov Chains with Uncertain Data," Discussion Paper 2008-50, Tilburg University, Center for Economic Research.

    Cited by:

    1. Jianzhe Zhen & Dick Hertog, 2017. "Centered solutions for uncertain linear equations," Computational Management Science, Springer, vol. 14(4), pages 585-610, October.
    2. Zhen, Jianzhe & den Hertog, Dick, 2016. "Centered Solutions for Uncertain Linear Equations (revision of CentER DP 2015-044)," Discussion Paper 2016-048, Tilburg University, Center for Economic Research.
    3. Zhen, Jianzhe & den Hertog, Dick, 2015. "Robust Solutions for Systems of Uncertain Linear Equations," Discussion Paper 2015-044, Tilburg University, Center for Economic Research.
    4. Zhen, Jianzhe & den Hertog, Dick, 2016. "Centered Solutions for Uncertain Linear Equations (revision of CentER DP 2015-044)," Other publications TiSEM 297fa3b1-5290-48b5-bbc0-0, Tilburg University, School of Economics and Management.
    5. Villacorta, Pablo J. & Verdegay, José L., 2016. "FuzzyStatProb: An R Package for the Estimation of Fuzzy Stationary Probabilities from a Sequence of Observations of an Unknown Markov Chain," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 71(i08).
    6. Gorissen, B.L. & Ben-Tal, A. & Blanc, J.P.C. & den Hertog, D., 2012. "A New Method for Deriving Robust and Globalized Robust Solutions of Uncertain Linear Conic Optimization Problems Having General Convex Uncertainty Sets," Discussion Paper 2012-076, Tilburg University, Center for Economic Research.
    7. Zhen, Jianzhe & den Hertog, Dick, 2017. "Centered solutions for uncertain linear equations," Other publications TiSEM e625bf4d-40d2-4a94-be66-6, Tilburg University, School of Economics and Management.
    8. Zhen, Jianzhe & den Hertog, Dick, 2015. "Robust Solutions for Systems of Uncertain Linear Equations," Other publications TiSEM d072bdb9-4168-4522-90d8-1, Tilburg University, School of Economics and Management.
    9. Bram L. Gorissen & Hans Blanc & Dick den Hertog & Aharon Ben-Tal, 2014. "Technical Note---Deriving Robust and Globalized Robust Solutions of Uncertain Linear Programs with General Convex Uncertainty Sets," Operations Research, INFORMS, vol. 62(3), pages 672-679, June.

  26. Siem, A.Y.D. & den Hertog, D. & Hoffmann, A.L., 2007. "A Method For Approximating Univariate Convex Functions Using Only Function Value Evaluations," Discussion Paper 2007-67, Tilburg University, Center for Economic Research.

    Cited by:

    1. Siem, A.Y.D. & den Hertog, D. & Hoffmann, A.L., 2005. "Multivariate Convex Approximation and Least-Norm Convex Data-Smoothing," Discussion Paper 2005-132, Tilburg University, Center for Economic Research.
    2. Siem, A.Y.D. & den Hertog, D. & Hoffmann, A.L., 2006. "The Effect of Transformations on the Approximation of Univariate (Convex) Functions with Applications to Pareto Curves," Discussion Paper 2006-66, Tilburg University, Center for Economic Research.
    3. Siem, A.Y.D., 2008. "Property preservation and quality measures in meta-models," Other publications TiSEM 259d3ed2-1a23-48fe-8af8-2, Tilburg University, School of Economics and Management.

  27. Siem, A.Y.D. & den Hertog, D., 2007. "Kriging Models That Are Robust With Respect to Simulation Errors," Discussion Paper 2007-68, Tilburg University, Center for Economic Research.

    Cited by:

    1. Rennen, G., 2008. "Subset Selection from Large Datasets for Kriging Modeling," Other publications TiSEM 9dfe6396-1933-45c0-b4e3-5, Tilburg University, School of Economics and Management.
    2. Kleijnen, J.P.C., 2007. "Kriging Metamodeling in Simulation : A Review," Other publications TiSEM 29d6926e-c381-4b58-ae58-8, Tilburg University, School of Economics and Management.
    3. Siem, A.Y.D., 2008. "Property preservation and quality measures in meta-models," Other publications TiSEM 259d3ed2-1a23-48fe-8af8-2, Tilburg University, School of Economics and Management.
    4. Rennen, G., 2008. "Subset Selection from Large Datasets for Kriging Modeling," Discussion Paper 2008-26, Tilburg University, Center for Economic Research.

  28. Driessen, L. & Brekelmans, R.C.M. & Gerichhausen, M. & Hamers, H.J.M. & den Hertog, D., 2006. "Why Methods for Optimization Problems with Time-Consuming Function Evaluations and Integer Variables Should Use Global Approximation Models," Discussion Paper 2006-4, Tilburg University, Center for Economic Research.

    Cited by:

    1. Kleijnen, J.P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2008. "Constrained Optimization in Simulation : A Novel Approach," Discussion Paper 2008-95, Tilburg University, Center for Economic Research.
    2. Kleijnen, Jack P.C. & Beers, Wim van & Nieuwenhuyse, Inneke van, 2010. "Constrained optimization in expensive simulation: Novel approach," European Journal of Operational Research, Elsevier, vol. 202(1), pages 164-174, April.

  29. de Klerk, E. & Elfadul, G.E.E. & den Hertog, D., 2006. "Optimization of Univariate Functions on Bounded Intervals by Interpolation and Semidefinite Programming," Discussion Paper 2006-26, Tilburg University, Center for Economic Research.

    Cited by:

    1. Ivanov, I.D. & de Klerk, E., 2007. "Parallel Implementation of a Semidefinite Programming Solver based on CSDP in a distributed memory cluster," Other publications TiSEM 9b41ff5e-2808-4d12-a58c-0, Tilburg University, School of Economics and Management.
    2. de Klerk, E. & den Hertog, D. & Elfadul, G.E.E., 2005. "On the Complexity of Optimization over the Standard Simplex," Discussion Paper 2005-125, Tilburg University, Center for Economic Research.
    3. Hayato Waki & Maho Nakata & Masakazu Muramatsu, 2012. "Strange behaviors of interior-point methods for solving semidefinite programming problems in polynomial optimization," Computational Optimization and Applications, Springer, vol. 53(3), pages 823-844, December.
    4. Laurent, M., 2009. "Sums of squares, moment matrices and optimization over polynomials," Other publications TiSEM 9fef820b-69d2-43f2-a501-e, Tilburg University, School of Economics and Management.
    5. Ivanov, I.D. & de Klerk, E., 2007. "Parallel Implementation of a Semidefinite Programming Solver based on CSDP in a distributed memory cluster," Discussion Paper 2007-20, Tilburg University, Center for Economic Research.

  30. Siem, A.Y.D. & den Hertog, D. & Hoffmann, A.L., 2006. "The Effect of Transformations on the Approximation of Univariate (Convex) Functions with Applications to Pareto Curves," Discussion Paper 2006-66, Tilburg University, Center for Economic Research.

    Cited by:

    1. Siem, A.Y.D., 2008. "Property preservation and quality measures in meta-models," Other publications TiSEM 259d3ed2-1a23-48fe-8af8-2, Tilburg University, School of Economics and Management.
    2. Rennen, G. & van Dam, E.R. & den Hertog, D., 2009. "Enhancement of Sandwich Algorithms for Approximating Higher Dimensional Convex Pareto Sets," Discussion Paper 2009-52, Tilburg University, Center for Economic Research.
    3. Siem, A.Y.D. & den Hertog, D. & Hoffmann, A.L., 2007. "A Method For Approximating Univariate Convex Functions Using Only Function Value Evaluations," Discussion Paper 2007-67, Tilburg University, Center for Economic Research.
    4. Hoffmann, A.L. & Siem, A.Y.D. & den Hertog, D. & Kaanders, J.H.A.M. & Huizenga, H., 2008. "Convex reformulation of biologically-based multi-crtiteria intensity-modulated radiation therapy optimization including fractionation effects," Other publications TiSEM a5430d1f-6b88-43ba-af32-6, Tilburg University, School of Economics and Management.
    5. Rennen, G. & van Dam, E.R. & den Hertog, D., 2009. "Enhancement of Sandwich Algorithms for Approximating Higher Dimensional Convex Pareto Sets," Other publications TiSEM e2255959-6691-4ef1-88a4-5, Tilburg University, School of Economics and Management.

  31. de Klerk, E. & den Hertog, D. & Elfadul, G.E.E., 2005. "On the Complexity of Optimization over the Standard Simplex," Discussion Paper 2005-125, Tilburg University, Center for Economic Research.

    Cited by:

    1. James Chok & Geoffrey M. Vasil, 2023. "Convex optimization over a probability simplex," Papers 2305.09046, arXiv.org.
    2. Immanuel Bomze & Stefan Gollowitzer & E. Yıldırım, 2014. "Rounding on the standard simplex: regular grids for global optimization," Journal of Global Optimization, Springer, vol. 59(2), pages 243-258, July.
    3. Titi, Jihad & Garloff, Jürgen, 2017. "Matrix methods for the simplicial Bernstein representation and for the evaluation of multivariate polynomials," Applied Mathematics and Computation, Elsevier, vol. 315(C), pages 246-258.
    4. Tareq Hamadneh & Hassan Al-Zoubi & Saleh Ali Alomari, 2020. "Fast Computation of Polynomial Data Points Over Simplicial Face Values," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 1-13, March.
    5. Sadek, Lakhlifa & Bataineh, Ahmad Sami & Isik, Osman Rasit & Alaoui, Hamad Talibi & Hashim, Ishak, 2023. "A numerical approach based on Bernstein collocation method: Application to differential Lyapunov and Sylvester matrix equations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 212(C), pages 475-488.

  32. van Dam, E.R. & Husslage, B.G.M. & den Hertog, D. & Melissen, H., 2005. "Maximin Latin Hypercube Designs in Two Dimensions," Discussion Paper 2005-8, Tilburg University, Center for Economic Research.

    Cited by:

    1. Ivo Couckuyt & Dirk Deschrijver & Tom Dhaene, 2014. "Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization," Journal of Global Optimization, Springer, vol. 60(3), pages 575-594, November.
    2. Rennen, G. & Husslage, B.G.M. & van Dam, E.R. & den Hertog, D., 2010. "Nested maximin Latin hypercube designs," Other publications TiSEM 7f0703e8-06bc-45b4-886c-3, Tilburg University, School of Economics and Management.
    3. Rennen, G., 2008. "Subset Selection from Large Datasets for Kriging Modeling," Other publications TiSEM 9dfe6396-1933-45c0-b4e3-5, Tilburg University, School of Economics and Management.
    4. van Dam, E.R. & Rennen, G. & Husslage, B.G.M., 2007. "Bounds for Maximin Latin Hypercube Designs," Discussion Paper 2007-16, Tilburg University, Center for Economic Research.
    5. HARCSA Imre Milán & KOVÁCS Sándor & NÁBRÁDI András, 2020. "Economic Analysis Of Subcontract Distilleries By Simulation Modeling Method," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 50-63, July.
    6. Jing Zhang & Jin Xu & Kai Jia & Yimin Yin & Zhengming Wang, 2019. "Optimal Sliced Latin Hypercube Designs with Slices of Arbitrary Run Sizes," Mathematics, MDPI, vol. 7(9), pages 1-16, September.
    7. Husslage, B.G.M. & van Dam, E.R. & den Hertog, D., 2005. "Nested Maximin Latin Hypercube Designs in Two Dimensions," Discussion Paper 2005-79, Tilburg University, Center for Economic Research.
    8. van Dam, E.R. & Rennen, G. & Husslage, B.G.M., 2007. "Bounds for Maximin Latin Hypercube Designs," Other publications TiSEM da0c15be-f18e-474e-b557-f, Tilburg University, School of Economics and Management.
    9. Mu, Weiyan & Xiong, Shifeng, 2018. "A class of space-filling designs and their projection properties," Statistics & Probability Letters, Elsevier, vol. 141(C), pages 129-134.
    10. Stinstra, E., 2006. "The meta-model approach for simulation-based design optimization," Other publications TiSEM 713f828a-4716-4a19-af00-e, Tilburg University, School of Economics and Management.
    11. Edwin R. van Dam & Bart Husslage & Dick den Hertog & Hans Melissen, 2007. "Maximin Latin Hypercube Designs in Two Dimensions," Operations Research, INFORMS, vol. 55(1), pages 158-169, February.
    12. Husslage, B.G.M. & van Dam, E.R. & den Hertog, D., 2005. "Nested Maximin Latin Hypercube Designs in Two Dimensions," Other publications TiSEM 3e013144-3e4c-460c-96bc-1, Tilburg University, School of Economics and Management.
    13. van Dam, E.R. & Husslage, B.G.M. & den Hertog, D., 2004. "One-Dimensional Nested Maximin Designs," Discussion Paper 2004-66, Tilburg University, Center for Economic Research.
    14. Crombecq, K. & Laermans, E. & Dhaene, T., 2011. "Efficient space-filling and non-collapsing sequential design strategies for simulation-based modeling," European Journal of Operational Research, Elsevier, vol. 214(3), pages 683-696, November.
    15. Husslage, B.G.M. & Rennen, G. & van Dam, E.R. & den Hertog, D., 2008. "Space-Filling Latin Hypercube Designs For Computer Experiments (Revision of CentER DP 2006-18)," Other publications TiSEM 1b5d18c7-b66f-4a9f-838c-b, Tilburg University, School of Economics and Management.
    16. van Dam, E.R., 2008. "Two-dimensional maximin Latin hypercube designs," Other publications TiSEM 61788dd1-b1b5-4c81-9151-8, Tilburg University, School of Economics and Management.
    17. Rennen, G. & Husslage, B.G.M. & van Dam, E.R. & den Hertog, D., 2009. "Nested Maximin Latin Hypercube Designs," Other publications TiSEM 1c504ec0-f357-42d2-9c92-9, Tilburg University, School of Economics and Management.
    18. Prescott, Philip, 2009. "Orthogonal-column Latin hypercube designs with small samples," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1191-1200, February.
    19. Liuqing Yang & Yongdao Zhou & Min-Qian Liu, 2021. "Maximin distance designs based on densest packings," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 84(5), pages 615-634, July.
    20. Siem, A.Y.D. & den Hertog, D., 2007. "Kriging Models That Are Robust With Respect to Simulation Errors," Discussion Paper 2007-68, Tilburg University, Center for Economic Research.
    21. Husslage, B.G.M. & Rennen, G. & van Dam, E.R. & den Hertog, D., 2008. "Space-Filling Latin Hypercube Designs For Computer Experiments (Revision of CentER DP 2006-18)," Discussion Paper 2008-104, Tilburg University, Center for Economic Research.
    22. Rennen, G., 2008. "Subset Selection from Large Datasets for Kriging Modeling," Discussion Paper 2008-26, Tilburg University, Center for Economic Research.
    23. Siem, A.Y.D. & den Hertog, D., 2007. "Kriging Models That Are Robust With Respect to Simulation Errors," Other publications TiSEM fe73dc8b-20d6-4f50-95eb-f, Tilburg University, School of Economics and Management.
    24. Xiangjing Lai & Jin-Kao Hao & Renbin Xiao & Fred Glover, 2023. "Perturbation-Based Thresholding Search for Packing Equal Circles and Spheres," INFORMS Journal on Computing, INFORMS, vol. 35(4), pages 725-746, July.
    25. Grosso, A. & Jamali, A.R.M.J.U. & Locatelli, M., 2009. "Finding maximin latin hypercube designs by Iterated Local Search heuristics," European Journal of Operational Research, Elsevier, vol. 197(2), pages 541-547, September.
    26. Tonghui Pang & Yan Wang & Jian-Feng Yang, 2022. "Asymptotically optimal maximin distance Latin hypercube designs," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 85(4), pages 405-418, May.

  33. Siem, A.Y.D. & den Hertog, D. & Hoffmann, A.L., 2005. "Multivariate Convex Approximation and Least-Norm Convex Data-Smoothing," Discussion Paper 2005-132, Tilburg University, Center for Economic Research.

    Cited by:

    1. Siem, A.Y.D., 2008. "Property preservation and quality measures in meta-models," Other publications TiSEM 259d3ed2-1a23-48fe-8af8-2, Tilburg University, School of Economics and Management.
    2. Néstor Aguilera & Liliana Forzani & Pedro Morin, 2011. "On uniform consistent estimators for convex regression," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 23(4), pages 897-908.
    3. Siem, A.Y.D. & den Hertog, D. & Hoffmann, A.L., 2007. "A Method For Approximating Univariate Convex Functions Using Only Function Value Evaluations," Discussion Paper 2007-67, Tilburg University, Center for Economic Research.

  34. Siem, A.Y.D. & de Klerk, E. & den Hertog, D., 2005. "Discrete Least-norm Approximation by Nonnegative (Trigonomtric) Polynomials and Rational Functions," Discussion Paper 2005-73, Tilburg University, Center for Economic Research.

    Cited by:

    1. Siem, A.Y.D. & den Hertog, D. & Hoffmann, A.L., 2005. "Multivariate Convex Approximation and Least-Norm Convex Data-Smoothing," Other publications TiSEM ad31ef2c-fc29-46c1-9b8f-6, Tilburg University, School of Economics and Management.
    2. Siem, A.Y.D. & den Hertog, D. & Hoffmann, A.L., 2005. "Multivariate Convex Approximation and Least-Norm Convex Data-Smoothing," Discussion Paper 2005-132, Tilburg University, Center for Economic Research.
    3. Stinstra, E., 2006. "The meta-model approach for simulation-based design optimization," Other publications TiSEM 713f828a-4716-4a19-af00-e, Tilburg University, School of Economics and Management.
    4. Siem, A.Y.D., 2008. "Property preservation and quality measures in meta-models," Other publications TiSEM 259d3ed2-1a23-48fe-8af8-2, Tilburg University, School of Economics and Management.
    5. Siem, A.Y.D. & den Hertog, D. & Hoffmann, A.L., 2007. "A Method For Approximating Univariate Convex Functions Using Only Function Value Evaluations," Other publications TiSEM a3afe119-3957-4700-a895-4, Tilburg University, School of Economics and Management.
    6. Siem, A.Y.D. & den Hertog, D. & Hoffmann, A.L., 2007. "A Method For Approximating Univariate Convex Functions Using Only Function Value Evaluations," Discussion Paper 2007-67, Tilburg University, Center for Economic Research.

  35. Husslage, B.G.M. & van Dam, E.R. & den Hertog, D., 2005. "Nested Maximin Latin Hypercube Designs in Two Dimensions," Discussion Paper 2005-79, Tilburg University, Center for Economic Research.

    Cited by:

    1. Rennen, G. & Husslage, B.G.M. & van Dam, E.R. & den Hertog, D., 2010. "Nested maximin Latin hypercube designs," Other publications TiSEM 7f0703e8-06bc-45b4-886c-3, Tilburg University, School of Economics and Management.
    2. Stinstra, E., 2006. "The meta-model approach for simulation-based design optimization," Other publications TiSEM 713f828a-4716-4a19-af00-e, Tilburg University, School of Economics and Management.
    3. Husslage, B.G.M. & van Dam, E.R. & den Hertog, D., 2005. "Nested Maximin Latin Hypercube Designs in Two Dimensions," Other publications TiSEM 3e013144-3e4c-460c-96bc-1, Tilburg University, School of Economics and Management.
    4. Rennen, G. & Husslage, B.G.M. & van Dam, E.R. & den Hertog, D., 2009. "Nested Maximin Latin Hypercube Designs," Other publications TiSEM 1c504ec0-f357-42d2-9c92-9, Tilburg University, School of Economics and Management.

  36. Stinstra, E. & den Hertog, D., 2005. "Robust Optimization Using Computer Experiments," Discussion Paper 2005-90, Tilburg University, Center for Economic Research.

    Cited by:

    1. Ouyang, Linhan & Ma, Yizhong & Wang, Jianjun & Tu, Yiliu, 2017. "A new loss function for multi-response optimization with model parameter uncertainty and implementation errors," European Journal of Operational Research, Elsevier, vol. 258(2), pages 552-563.
    2. Harris, Richard D F & Stoja, Evarist & Tan, Linzhi, 2016. "The dynamic Black-Litterman approach to asset allocation," Bank of England working papers 596, Bank of England.
    3. Siem, A.Y.D., 2008. "Property preservation and quality measures in meta-models," Other publications TiSEM 259d3ed2-1a23-48fe-8af8-2, Tilburg University, School of Economics and Management.
    4. Gabriele Eichfelder & Corinna Krüger & Anita Schöbel, 2017. "Decision uncertainty in multiobjective optimization," Journal of Global Optimization, Springer, vol. 69(2), pages 485-510, October.
    5. Koubaa, Rayhane & Bacha, Seddik & Smaoui, Mariem & krichen, Lotfi, 2020. "Robust optimization based energy management of a fuel cell/ultra-capacitor hybrid electric vehicle under uncertainty," Energy, Elsevier, vol. 200(C).
    6. Han Men & Robert M. Freund & Ngoc C. Nguyen & Joel Saa-Seoane & Jaime Peraire, 2014. "Fabrication-Adaptive Optimization with an Application to Photonic Crystal Design," Operations Research, INFORMS, vol. 62(2), pages 418-434, April.
    7. Siem, A.Y.D. & den Hertog, D., 2007. "Kriging Models That Are Robust With Respect to Simulation Errors," Discussion Paper 2007-68, Tilburg University, Center for Economic Research.
    8. Ben-Tal, A. & den Hertog, D., 2011. "Immunizing Conic Quadratic Optimization Problems Against Implementation Errors," Discussion Paper 2011-060, Tilburg University, Center for Economic Research.
    9. Fajemisin, Adejuyigbe O. & Maragno, Donato & den Hertog, Dick, 2024. "Optimization with constraint learning: A framework and survey," European Journal of Operational Research, Elsevier, vol. 314(1), pages 1-14.
    10. Dimitris Bertsimas & Omid Nohadani & Kwong Meng Teo, 2010. "Robust Optimization for Unconstrained Simulation-Based Problems," Operations Research, INFORMS, vol. 58(1), pages 161-178, February.
    11. Dellino, G. & Kleijnen, Jack P.C. & Meloni, C., 2009. "Robust Optimization in Simulation : Taguchi and Krige Combined," Discussion Paper 2009-82, Tilburg University, Center for Economic Research.
    12. Ben-Tal, A. & den Hertog, D., 2011. "Immunizing Conic Quadratic Optimization Problems Against Implementation Errors," Other publications TiSEM 9f3fba48-8501-4ec8-9241-5, Tilburg University, School of Economics and Management.
    13. He, Zhen & Zhu, Peng-Fei & Park, Sung-Hyun, 2012. "A robust desirability function method for multi-response surface optimization considering model uncertainty," European Journal of Operational Research, Elsevier, vol. 221(1), pages 241-247.
    14. Huang, Dashan & Zhu, Shushang & Fabozzi, Frank J. & Fukushima, Masao, 2010. "Portfolio selection under distributional uncertainty: A relative robust CVaR approach," European Journal of Operational Research, Elsevier, vol. 203(1), pages 185-194, May.

  37. van Dam, E.R. & Husslage, B.G.M. & den Hertog, D., 2004. "One-Dimensional Nested Maximin Designs," Discussion Paper 2004-66, Tilburg University, Center for Economic Research.

    Cited by:

    1. Rennen, G. & Husslage, B.G.M. & van Dam, E.R. & den Hertog, D., 2010. "Nested maximin Latin hypercube designs," Other publications TiSEM 7f0703e8-06bc-45b4-886c-3, Tilburg University, School of Economics and Management.
    2. Husslage, B.G.M. & van Dam, E.R. & den Hertog, D., 2005. "Nested Maximin Latin Hypercube Designs in Two Dimensions," Discussion Paper 2005-79, Tilburg University, Center for Economic Research.
    3. Husslage, B.G.M. & van Dam, E.R. & den Hertog, D., 2005. "Nested Maximin Latin Hypercube Designs in Two Dimensions," Other publications TiSEM 3e013144-3e4c-460c-96bc-1, Tilburg University, School of Economics and Management.
    4. Grishagin, Vladimir & Israfilov, Ruslan & Sergeyev, Yaroslav, 2018. "Convergence conditions and numerical comparison of global optimization methods based on dimensionality reduction schemes," Applied Mathematics and Computation, Elsevier, vol. 318(C), pages 270-280.
    5. Hao Chen & Yan Zhang & Xue Yang, 2021. "Uniform projection nested Latin hypercube designs," Statistical Papers, Springer, vol. 62(4), pages 2031-2045, August.
    6. Vieira Jr., Hélcio & Sanchez, Susan & Kienitz, Karl Heinz & Belderrain, Mischel Carmen Neyra, 2011. "Generating and improving orthogonal designs by using mixed integer programming," European Journal of Operational Research, Elsevier, vol. 215(3), pages 629-638, December.
    7. János Pintér & Zoltán Horváth, 2013. "Integrated experimental design and nonlinear optimization to handle computationally expensive models under resource constraints," Journal of Global Optimization, Springer, vol. 57(1), pages 191-215, September.

  38. den Hertog, D. & Kleijnen, J.P.C. & Siem, A.Y.D., 2004. "The Correct Kriging Variance Estimated by Bootstrapping," Discussion Paper 2004-46, Tilburg University, Center for Economic Research.

    Cited by:

    1. Jack Kleijnen & Wim Beers & Inneke Nieuwenhuyse, 2012. "Expected improvement in efficient global optimization through bootstrapped kriging," Journal of Global Optimization, Springer, vol. 54(1), pages 59-73, September.
    2. Kleijnen, Jack P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2011. "Expected Improvement in Efficient Global Optimization Through Bootstrapped Kriging - Replaces CentER DP 2010-62," Discussion Paper 2011-015, Tilburg University, Center for Economic Research.
    3. Kleijnen, J.P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2008. "Constrained Optimization in Simulation : A Novel Approach," Discussion Paper 2008-95, Tilburg University, Center for Economic Research.
    4. Kleijnen, Jack P.C. & Mehdad, E., 2013. "Conditional simulation for efficient global optimization," Other publications TiSEM 52e4860d-9887-4a63-b19a-7, Tilburg University, School of Economics and Management.
    5. J P C Kleijnen & W C M van Beers, 2013. "Monotonicity-preserving bootstrapped Kriging metamodels for expensive simulations," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(5), pages 708-717, May.
    6. Kleijnen, Jack P.C. & Mehdad, E., 2014. "Multivariate Versus Univariate Kriging Metamodels for Multi-Response Simulation Models (Revision of 2012-039)," Other publications TiSEM 8a096696-f700-4cbe-9474-c, Tilburg University, School of Economics and Management.
    7. Kleijnen, Jack P.C. & Mehdad, E., 2012. "Kriging in Multi-response Simulation, including a Monte Carlo Laboratory (Replaced by 2014-012)," Discussion Paper 2012-039, Tilburg University, Center for Economic Research.
    8. Stinstra, Erwin & den Hertog, Dick, 2008. "Robust optimization using computer experiments," European Journal of Operational Research, Elsevier, vol. 191(3), pages 816-837, December.
    9. Stinstra, E., 2006. "The meta-model approach for simulation-based design optimization," Other publications TiSEM 713f828a-4716-4a19-af00-e, Tilburg University, School of Economics and Management.
    10. Stinstra, E. & den Hertog, D., 2005. "Robust Optimization Using Computer Experiments," Other publications TiSEM 69d6e378-c9f9-44e8-9602-f, Tilburg University, School of Economics and Management.
    11. Kleijnen, J.P.C., 2009. "Sensitivity Analysis of Simulation Models," Discussion Paper 2009-11, Tilburg University, Center for Economic Research.
    12. Kleijnen, J.P.C., 2007. "Kriging Metamodeling in Simulation : A Review," Other publications TiSEM 29d6926e-c381-4b58-ae58-8, Tilburg University, School of Economics and Management.
    13. P. Pedone & G. Vicario & D. Romano, 2009. "Kriging‐based sequential inspection plans for coordinate measuring machines," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(2), pages 133-149, March.
    14. Mehdad, E. & Kleijnen, Jack P.C., 2014. "Classic Kriging versus Kriging with Bootstrapping or Conditional Simulation : Classic Kriging's Robust Confidence Intervals and Optimization (Revised version of CentER DP 2013-038)," Discussion Paper 2014-076, Tilburg University, Center for Economic Research.
    15. Hernandez, Andres F. & Grover, Martha A., 2013. "Error estimation properties of Gaussian process models in stochastic simulations," European Journal of Operational Research, Elsevier, vol. 228(1), pages 131-140.
    16. Kleijnen, Jack P.C., 2013. "Simulation-Optimization via Kriging and Bootstrapping : A Survey (Revision of CentER DP 2011-064)," Discussion Paper 2013-064, Tilburg University, Center for Economic Research.
    17. van Beers, W.C.M. & Kleijnen, J.P.C., 2004. "Customized Sequential Designs for Random Simulation Experiments : Kriging Metamodelling and Bootstrapping," Other publications TiSEM 372530d0-3a48-43c5-a91a-4, Tilburg University, School of Economics and Management.
    18. Kleijnen, Jack & van Beers, W.C.M., 2019. "Statistical Tests for Cross-Validation of Kriging Models," Discussion Paper 2019-022, Tilburg University, Center for Economic Research.
    19. Liu, Heping & Shi, Jing & Erdem, Ergin, 2010. "Prediction of wind speed time series using modified Taylor Kriging method," Energy, Elsevier, vol. 35(12), pages 4870-4879.
    20. Zhang, Wei & (Ato) Xu, Wangtu, 2017. "Simulation-based robust optimization for the schedule of single-direction bus transit route: The design of experiment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 203-230.
    21. Dellino, G. & Lino, P. & Meloni, C. & Rizzo, A., 2009. "Kriging metamodel management in the design optimization of a CNG injection system," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2345-2360.
    22. Bing Wang & Jiaqiao Hu, 2018. "Some Monotonicity Results for Stochastic Kriging Metamodels in Sequential Settings," INFORMS Journal on Computing, INFORMS, vol. 30(2), pages 278-294, May.
    23. Wang, Jinsheng & Xu, Guoji & Li, Yongle & Kareem, Ahsan, 2022. "AKSE: A novel adaptive Kriging method combining sampling region scheme and error-based stopping criterion for structural reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    24. Felipe Viana & Raphael Haftka & Layne Watson, 2013. "Efficient global optimization algorithm assisted by multiple surrogate techniques," Journal of Global Optimization, Springer, vol. 56(2), pages 669-689, June.
    25. Kleijnen, Jack P.C. & Mehdad, Ehsan, 2014. "Multivariate versus univariate Kriging metamodels for multi-response simulation models," European Journal of Operational Research, Elsevier, vol. 236(2), pages 573-582.
    26. Kleijnen, Jack P.C. & Beers, Wim van & Nieuwenhuyse, Inneke van, 2010. "Constrained optimization in expensive simulation: Novel approach," European Journal of Operational Research, Elsevier, vol. 202(1), pages 164-174, April.

  39. den Boef, E. & den Hertog, D., 2004. "Efficient Line Searching for Convex Functions," Discussion Paper 2004-52, Tilburg University, Center for Economic Research.

    Cited by:

    1. Siem, A.Y.D. & den Hertog, D. & Hoffmann, A.L., 2005. "Multivariate Convex Approximation and Least-Norm Convex Data-Smoothing," Other publications TiSEM ad31ef2c-fc29-46c1-9b8f-6, Tilburg University, School of Economics and Management.
    2. Siem, A.Y.D. & den Hertog, D. & Hoffmann, A.L., 2005. "Multivariate Convex Approximation and Least-Norm Convex Data-Smoothing," Discussion Paper 2005-132, Tilburg University, Center for Economic Research.
    3. Siem, A.Y.D. & den Hertog, D. & Hoffmann, A.L., 2007. "A Method For Approximating Univariate Convex Functions Using Only Function Value Evaluations," Discussion Paper 2007-67, Tilburg University, Center for Economic Research.

  40. Husslage, B.G.M. & van Dam, E.R. & den Hertog, D. & Stehouwer, H.P. & Stinstra, E., 2003. "Coordination of Coupled Black Box Simulations in the Construction of Metamodels," Discussion Paper 2003-2, Tilburg University, Center for Economic Research.

    Cited by:

    1. Rennen, G., 2008. "Subset Selection from Large Datasets for Kriging Modeling," Other publications TiSEM 9dfe6396-1933-45c0-b4e3-5, Tilburg University, School of Economics and Management.
    2. Rennen, G., 2008. "Subset Selection from Large Datasets for Kriging Modeling," Discussion Paper 2008-26, Tilburg University, Center for Economic Research.

  41. Brekelmans, R.C.M. & Driessen, L. & Hamers, H.J.M. & den Hertog, D., 2003. "Gradient Estimation Schemes for Noisy Functions," Discussion Paper 2003-12, Tilburg University, Center for Economic Research.

    Cited by:

    1. Brekelmans, R.C.M. & Driessen, L. & Hamers, H.J.M. & den Hertog, D., 2008. "Gradient estimation using Lagrange interpolation polynomials," Other publications TiSEM f089ae6a-d7c2-4863-a52d-a, Tilburg University, School of Economics and Management.
    2. Angun, M.E., 2004. "Black box simulation optimization : Generalized response surface methodology," Other publications TiSEM 2548e953-54ce-44e2-8c5b-7, Tilburg University, School of Economics and Management.

  42. Kleijnen, J.P.C. & den Hertog, D. & Angun, M.E., 2002. "Response Surface Methodology's Steepest Ascent and Step Size Revisited," Discussion Paper 2002-64, Tilburg University, Center for Economic Research.

    Cited by:

    1. Kleijnen, J.P.C., 2006. "Generalized Response Surface Methodology : A New Metaheuristic," Other publications TiSEM 9a11fb77-d2e1-4c6e-8bba-0, Tilburg University, School of Economics and Management.
    2. Soonhui Lee & Tito Homem-de-Mello & Anton Kleywegt, 2012. "Newsvendor-type models with decision-dependent uncertainty," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 76(2), pages 189-221, October.
    3. Pourmohammadi, Pardis & Saif, Ahmed, 2023. "Robust metamodel-based simulation-optimization approaches for designing hybrid renewable energy systems," Applied Energy, Elsevier, vol. 341(C).
    4. Kleijnen, Jack P.C. & den Hertog, Dick & Angun, Ebru, 2006. "Response surface methodology's steepest ascent and step size revisited: Correction," European Journal of Operational Research, Elsevier, vol. 170(2), pages 664-666, April.
    5. Kleijnen, Jack P.C. & Beers, Wim van & Nieuwenhuyse, Inneke van, 2010. "Constrained optimization in expensive simulation: Novel approach," European Journal of Operational Research, Elsevier, vol. 202(1), pages 164-174, April.
    6. Angun, M.E. & Gürkan, G. & den Hertog, D. & Kleijnen, J.P.C., 2002. "Response surface methodology revisited," Other publications TiSEM 32c35a04-3de9-4dee-a242-6, Tilburg University, School of Economics and Management.
    7. Angun, M.E., 2004. "Black box simulation optimization : Generalized response surface methodology," Other publications TiSEM 2548e953-54ce-44e2-8c5b-7, Tilburg University, School of Economics and Management.

  43. Brekelmans, R.C.M. & Driessen, L. & Hamers, H.J.M. & den Hertog, D., 2001. "Constrained Optimization Involving Expensive Function Evaluations : A Sequential Approach," Discussion Paper 2001-87, Tilburg University, Center for Economic Research.

    Cited by:

    1. ten Eikelder, S.C.M. & van Amerongen, J.H.M., 2023. "Resource allocation problems with expensive function evaluations," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1170-1185.
    2. Driessen, L. & Brekelmans, R.C.M. & Hamers, H.J.M. & den Hertog, D., 2001. "On D-Optimality Based Trust Regions for Black-Box Optimization Problems," Other publications TiSEM dcde83b3-cab6-48bd-b94d-7, Tilburg University, School of Economics and Management.
    3. Driessen, L. & Brekelmans, R.C.M. & Gerichhausen, M. & Hamers, H.J.M. & den Hertog, D., 2006. "Why Methods for Optimization Problems with Time-Consuming Function Evaluations and Integer Variables Should Use Global Approximation Models," Discussion Paper 2006-4, Tilburg University, Center for Economic Research.
    4. Regis, Rommel G. & Shoemaker, Christine A., 2007. "Parallel radial basis function methods for the global optimization of expensive functions," European Journal of Operational Research, Elsevier, vol. 182(2), pages 514-535, October.
    5. Boukouvala, Fani & Misener, Ruth & Floudas, Christodoulos A., 2016. "Global optimization advances in Mixed-Integer Nonlinear Programming, MINLP, and Constrained Derivative-Free Optimization, CDFO," European Journal of Operational Research, Elsevier, vol. 252(3), pages 701-727.
    6. Miriyala, Srinivas Soumitri & Subramanian, Venkat & Mitra, Kishalay, 2018. "TRANSFORM-ANN for online optimization of complex industrial processes: Casting process as case study," European Journal of Operational Research, Elsevier, vol. 264(1), pages 294-309.

  44. Driessen, L. & Brekelmans, R.C.M. & Hamers, H.J.M. & den Hertog, D., 2001. "On D-Optimality Based Trust Regions for Black-Box Optimization Problems," Discussion Paper 2001-69, Tilburg University, Center for Economic Research.

    Cited by:

    1. Kleijnen, J.P.C. & den Hertog, D. & Angun, M.E., 2002. "Response Surface Methodology's Steepest Ascent and Step Size Revisited," Other publications TiSEM 44a5bc64-49e5-47f5-abe7-3, Tilburg University, School of Economics and Management.
    2. Kleijnen, J.P.C. & van Beers, W.C.M. & van Nieuwenhuyse, I., 2008. "Constrained Optimization in Simulation : A Novel Approach," Discussion Paper 2008-95, Tilburg University, Center for Economic Research.
    3. M Laguna & J Molina & F Pérez & R Caballero & A G Hernández-Díaz, 2010. "The challenge of optimizing expensive black boxes: a scatter search/rough set theory approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(1), pages 53-67, January.
    4. Brekelmans, R.C.M. & Driessen, L. & Hamers, H.J.M. & den Hertog, D., 2001. "Constrained Optimization Involving Expensive Function Evaluations : A Sequential Approach," Other publications TiSEM c94095bf-9069-47e6-b77e-5, Tilburg University, School of Economics and Management.
    5. Angun, M.E., 2004. "Black box simulation optimization : Generalized response surface methodology," Other publications TiSEM 2548e953-54ce-44e2-8c5b-7, Tilburg University, School of Economics and Management.

  45. den Hertog, D. & de Klerk, E. & Roos, J., 2000. "On Convex Quadratic Approximation," Discussion Paper 2000-47, Tilburg University, Center for Economic Research.

    Cited by:

    1. Siem, A.Y.D. & den Hertog, D. & Hoffmann, A.L., 2005. "Multivariate Convex Approximation and Least-Norm Convex Data-Smoothing," Other publications TiSEM ad31ef2c-fc29-46c1-9b8f-6, Tilburg University, School of Economics and Management.
    2. Siem, A.Y.D. & den Hertog, D. & Hoffmann, A.L., 2005. "Multivariate Convex Approximation and Least-Norm Convex Data-Smoothing," Discussion Paper 2005-132, Tilburg University, Center for Economic Research.
    3. Stinstra, Erwin & den Hertog, Dick, 2008. "Robust optimization using computer experiments," European Journal of Operational Research, Elsevier, vol. 191(3), pages 816-837, December.
    4. Zhichao Zheng & Karthik Natarajan & Chung-Piaw Teo, 2016. "Least Squares Approximation to the Distribution of Project Completion Times with Gaussian Uncertainty," Operations Research, INFORMS, vol. 64(6), pages 1406-1421, December.
    5. Siem, A.Y.D. & de Klerk, E. & den Hertog, D., 2005. "Discrete Least-norm Approximation by Nonnegative (Trigonomtric) Polynomials and Rational Functions," Discussion Paper 2005-73, Tilburg University, Center for Economic Research.
    6. Siem, A.Y.D. & de Klerk, E. & den Hertog, D., 2005. "Discrete Least-norm Approximation by Nonnegative (Trigonomtric) Polynomials and Rational Functions," Other publications TiSEM 43a1152a-8130-4e42-851b-e, Tilburg University, School of Economics and Management.

Articles

  1. Stinstra, Erwin & den Hertog, Dick, 2008. "Robust optimization using computer experiments," European Journal of Operational Research, Elsevier, vol. 191(3), pages 816-837, December.
    See citations under working paper version above.
  2. Siem, A.Y.D. & den Hertog, D. & Hoffmann, A.L., 2008. "The effect of transformations on the approximation of univariate (convex) functions with applications to Pareto curves," European Journal of Operational Research, Elsevier, vol. 189(2), pages 347-362, September.
    See citations under working paper version above.
  3. de Klerk, E. & den Hertog, D. & Elabwabi, G., 2008. "On the complexity of optimization over the standard simplex," European Journal of Operational Research, Elsevier, vol. 191(3), pages 773-785, December.
    See citations under working paper version above.
  4. Kleijnen, Jack P.C. & den Hertog, Dick & Angun, Ebru, 2006. "Response surface methodology's steepest ascent and step size revisited: Correction," European Journal of Operational Research, Elsevier, vol. 170(2), pages 664-666, April.

    Cited by:

    1. Kleijnen, J.P.C., 2006. "Generalized Response Surface Methodology : A New Metaheuristic," Other publications TiSEM 9a11fb77-d2e1-4c6e-8bba-0, Tilburg University, School of Economics and Management.

  5. Brekelmans, Ruud & Driessen, Lonneke & Hamers, Herbert & den Hertog, Dick, 2005. "Constrained optimization involving expensive function evaluations: A sequential approach," European Journal of Operational Research, Elsevier, vol. 160(1), pages 121-138, January.
    See citations under working paper version above.
  6. Kleijnen, Jack P. C. & den Hertog, Dick & Angun, Ebru, 2004. "Response surface methodology's steepest ascent and step size revisited," European Journal of Operational Research, Elsevier, vol. 159(1), pages 121-131, November.
    See citations under working paper version above.
  7. den Hertog, Dick & Stehouwer, Peter, 2002. "Optimizing color picture tubes by high-cost nonlinear programming," European Journal of Operational Research, Elsevier, vol. 140(2), pages 197-211, July.

    Cited by:

    1. Rennen, G. & Husslage, B.G.M. & van Dam, E.R. & den Hertog, D., 2010. "Nested maximin Latin hypercube designs," Other publications TiSEM 7f0703e8-06bc-45b4-886c-3, Tilburg University, School of Economics and Management.
    2. van Dam, E.R. & Rennen, G. & Husslage, B.G.M., 2007. "Bounds for Maximin Latin Hypercube Designs," Discussion Paper 2007-16, Tilburg University, Center for Economic Research.
    3. Driessen, L. & Brekelmans, R.C.M. & Gerichhausen, M. & Hamers, H.J.M. & den Hertog, D., 2006. "Why Methods for Optimization Problems with Time-Consuming Function Evaluations and Integer Variables Should Use Global Approximation Models," Discussion Paper 2006-4, Tilburg University, Center for Economic Research.
    4. Husslage, B.G.M. & van Dam, E.R. & den Hertog, D., 2005. "Nested Maximin Latin Hypercube Designs in Two Dimensions," Discussion Paper 2005-79, Tilburg University, Center for Economic Research.
    5. van Dam, E.R. & Rennen, G. & Husslage, B.G.M., 2007. "Bounds for Maximin Latin Hypercube Designs," Other publications TiSEM da0c15be-f18e-474e-b557-f, Tilburg University, School of Economics and Management.
    6. Stinstra, Erwin & den Hertog, Dick, 2008. "Robust optimization using computer experiments," European Journal of Operational Research, Elsevier, vol. 191(3), pages 816-837, December.
    7. Stinstra, E., 2006. "The meta-model approach for simulation-based design optimization," Other publications TiSEM 713f828a-4716-4a19-af00-e, Tilburg University, School of Economics and Management.
    8. Edwin R. van Dam & Bart Husslage & Dick den Hertog & Hans Melissen, 2007. "Maximin Latin Hypercube Designs in Two Dimensions," Operations Research, INFORMS, vol. 55(1), pages 158-169, February.
    9. Stinstra, E. & den Hertog, D., 2005. "Robust Optimization Using Computer Experiments," Other publications TiSEM 69d6e378-c9f9-44e8-9602-f, Tilburg University, School of Economics and Management.
    10. Yanikoglu, I. & den Hertog, D., 2011. "Safe Approximations of Chance Constraints Using Historical Data," Other publications TiSEM ab77f6f2-248a-42f1-bde1-0, Tilburg University, School of Economics and Management.
    11. Husslage, B.G.M. & van Dam, E.R. & den Hertog, D., 2005. "Nested Maximin Latin Hypercube Designs in Two Dimensions," Other publications TiSEM 3e013144-3e4c-460c-96bc-1, Tilburg University, School of Economics and Management.
    12. Jianzhe Zhen & Dick den Hertog, 2018. "Computing the Maximum Volume Inscribed Ellipsoid of a Polytopic Projection," INFORMS Journal on Computing, INFORMS, vol. 30(1), pages 31-42, February.
    13. Brekelmans, R.C.M. & Driessen, L. & Hamers, H.J.M. & den Hertog, D., 2001. "Constrained Optimization Involving Expensive Function Evaluations : A Sequential Approach," Other publications TiSEM c94095bf-9069-47e6-b77e-5, Tilburg University, School of Economics and Management.
    14. van Dam, E.R. & Husslage, B.G.M. & den Hertog, D., 2004. "One-Dimensional Nested Maximin Designs," Discussion Paper 2004-66, Tilburg University, Center for Economic Research.
    15. Yanikoglu, I. & den Hertog, D., 2011. "Safe Approximations of Chance Constraints Using Historical Data," Discussion Paper 2011-137, Tilburg University, Center for Economic Research.
    16. Husslage, B.G.M. & Rennen, G. & van Dam, E.R. & den Hertog, D., 2008. "Space-Filling Latin Hypercube Designs For Computer Experiments (Revision of CentER DP 2006-18)," Other publications TiSEM 1b5d18c7-b66f-4a9f-838c-b, Tilburg University, School of Economics and Management.
    17. Rennen, G. & Husslage, B.G.M. & van Dam, E.R. & den Hertog, D., 2009. "Nested Maximin Latin Hypercube Designs," Other publications TiSEM 1c504ec0-f357-42d2-9c92-9, Tilburg University, School of Economics and Management.
    18. van Dam, E.R. & Husslage, B.G.M. & den Hertog, D., 2004. "One-Dimensional Nested Maximin Designs," Other publications TiSEM f2db4179-7b8e-4b7c-a736-7, Tilburg University, School of Economics and Management.
    19. Husslage, B.G.M. & Rennen, G. & van Dam, E.R. & den Hertog, D., 2008. "Space-Filling Latin Hypercube Designs For Computer Experiments (Revision of CentER DP 2006-18)," Discussion Paper 2008-104, Tilburg University, Center for Economic Research.
    20. Husslage, B.G.M. & Rennen, G. & van Dam, E.R. & den Hertog, D., 2011. "Space-filling Latin hypercube designs for computer experiments," Other publications TiSEM 694f73df-a373-46a7-aa4d-1, Tilburg University, School of Economics and Management.
    21. Fajemisin, Adejuyigbe O. & Maragno, Donato & den Hertog, Dick, 2024. "Optimization with constraint learning: A framework and survey," European Journal of Operational Research, Elsevier, vol. 314(1), pages 1-14.
    22. E Angün & J Kleijnen & D den Hertog & G Gürkan, 2009. "Response surface methodology with stochastic constraints for expensive simulation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(6), pages 735-746, June.
    23. Grosso, A. & Jamali, A.R.M.J.U. & Locatelli, M., 2009. "Finding maximin latin hypercube designs by Iterated Local Search heuristics," European Journal of Operational Research, Elsevier, vol. 197(2), pages 541-547, September.
    24. Angun, M.E., 2004. "Black box simulation optimization : Generalized response surface methodology," Other publications TiSEM 2548e953-54ce-44e2-8c5b-7, Tilburg University, School of Economics and Management.

  8. Dick Den Hertog & Etienne De Klerk & Kees Roos, 2002. "On convex quadratic approximation," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 56(3), pages 376-385, August.
    See citations under working paper version above.
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