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A multi-phase algorithm for a joint lot-sizing and pricing problem with stochastic demands
Li, Hongyan; Thorstenson, Anders - In: International journal of production research 52 (2014) 8, pp. 2345-2362
Persistent link: https://www.econbiz.de/10010349363
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Horizontal combinations of online and offline approximate dynamic programming for stochastic dynamic vehicle routing
Ulmer, Marlin Wolf - In: Central European journal of operations research 28 (2020) 1, pp. 279-308
Persistent link: https://www.econbiz.de/10012221871
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Fixed-dimensional stochastic dynamic programs : an approximation scheme and an inventory application
Chen, Wei; Dawande, Milind; Janakiraman, Ganesh - In: Operations research 62 (2014) 1, pp. 81-103
Persistent link: https://www.econbiz.de/10010338558
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Information Relaxation and A Duality-Driven Algorithm for Stochastic Dynamic Programs
Chen, Nan - 2020
applications, we also introduce a regression-based Monte Carlo algorithm for implementation. The newapproach can be used not only …
Persistent link: https://www.econbiz.de/10012848670
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Provably near-optimal approximation schemes for implicit stochastic and sample-based dynamic programs
Halman, Nir - In: INFORMS journal on computing : JOC 32 (2020) 4, pp. 1157-1181
Persistent link: https://www.econbiz.de/10012390216
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Optimization of Stochastic Discrete Systems and Control on Complex Networks : Computational Networks
Lozovanu, Dmitrii - 2015
valuable contribution to the important field of computational network theory …
Persistent link: https://www.econbiz.de/10012401978
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Online allocation and pricing : constant regret via Bellman inequalities
Vera, Alberto; Banerjee, Siddartha; Gurvich, Itai - In: Operations research 69 (2021) 3, pp. 821-840
Persistent link: https://www.econbiz.de/10012546874
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Adaptive stochastic lookahead policies for dynamic multi-period purchasing and inventory routing
Cuellar-Usaquén, Daniel; Ulmer, Martin W.; Gomez, Camillo - 2023
opportunities, to hedge against future uncertainty, and to save routing cost in future periods. A careful balance between too much …
Persistent link: https://www.econbiz.de/10014282392
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An inexact column-and-constraint generation method to solve two-stage robust optimization problems
Tsang, Man Yiu; Shehadeh, Karmel S.; Curtis, Frank E. - In: Operations research letters 51 (2023) 1, pp. 92-98
Persistent link: https://www.econbiz.de/10014283302
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An asymptotically tight learning algorithm for mobile-promotion platforms
Feng, Zhichao; Dawande, Milind; Janakiraman, Ganesh; … - In: Management science : journal of the Institute for … 69 (2023) 3, pp. 1536-1554
Persistent link: https://www.econbiz.de/10014303887