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Ehsan Mehdad
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2020 – today
- 2022
- [c3]Yannick Smit, Floris den Hengst, Sandjai Bhulai, Ehsan Mehdad:
Strategic Workforce Planning with Deep Reinforcement Learning. LOD (2) 2022: 108-122
2010 – 2019
- 2018
- [j4]Ehsan Mehdad, Jack P. C. Kleijnen:
Efficient global optimisation for black-box simulation via sequential intrinsic Kriging. J. Oper. Res. Soc. 69(11): 1725-1737 (2018) - 2016
- [j3]Jack P. C. Kleijnen, Ehsan Mehdad:
Estimating the variance of the predictor in stochastic Kriging. Simul. Model. Pract. Theory 66: 166-173 (2016) - 2015
- [j2]Ehsan Mehdad, Jack P. C. Kleijnen:
Classic Kriging versus Kriging with bootstrapping or conditional simulation: classic Kriging's robust confidence intervals and optimization. J. Oper. Res. Soc. 66(11): 1804-1814 (2015) - 2014
- [j1]Jack P. C. Kleijnen, Ehsan Mehdad:
Multivariate versus univariate Kriging metamodels for multi-response simulation models. Eur. J. Oper. Res. 236(2): 573-582 (2014) - 2013
- [c2]Jack P. C. Kleijnen, Ehsan Mehdad:
Conditional simulation for efficient global optimization. WSC 2013: 969-979 - 2012
- [c1]Jack P. C. Kleijnen, Ehsan Mehdad, Wim C. M. Van Beers:
Convex and monotonic bootstrapped kriging. WSC 2012: 49:1-49:12
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