Similar Search Results

Constrained optimization im simulation : efficient global optimization and Karush-Kuhn-Tucker conditions

Kleijnen, Jack P. C.; Van Nieuwenhuyse, Inneke; Beers, … - 2022

Persistent link: https://www.econbiz.de/10013343254

Bayesian optimization allowing for common random numbers

Pearce, Michael Arthur Leopold; Poloczek, Matthias; … - In: Operations research 70 (2022) 6, pp. 3457-3472

Persistent link: https://www.econbiz.de/10014307875

Reinforcement learning and stochastic dynamic programming for jointly scheduling jobs and preventive maintenance on a single machine to minimise earliness-tardiness

Sabri, Abderrazzak; Allaoui, Hamid; Souissi, Omar - In: International journal of production research 62 (2024) 3, pp. 705-719

Persistent link: https://www.econbiz.de/10014457580

Efficient global optimization for black-box simulation via sequential intrinsic Kriging

Mehdad, Ehsan; Kleijnen, Jack P. C. - 2015

Persistent link: https://www.econbiz.de/10011349886

Efficient global optimisation for black-box simulation via sequential intrinsic Kriging

Mehdad, Ehsan; Kleijnen, Jack P. C. - In: Journal of the Operational Research Society 69 (2018) 11, pp. 1725-1737

Persistent link: https://www.econbiz.de/10012229229

Synthetic dataset generation of driver telematics

So, Banghee; Boucher, Jean-Philippe; Valdez, Emiliano - In: Risks : open access journal 9 (2021) 4, pp. 1-19

This article describes the techniques employed in the production of a synthetic dataset of driver telematics emulated from a similar real insurance dataset. The synthetic dataset generated has 100,000 policies that included observations regarding driver's claims experience, together with...

Persistent link: https://www.econbiz.de/10012508585