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Improvements and generalizations of Stochastic Knapsack and Markovian Bandits approximation algorithms
Ma, Will - In: Mathematics of operations research 43 (2018) 3, pp. 789-812
Persistent link: https://www.econbiz.de/10011914355
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A new convergent hybrid learning algorithm for two-stage stochastic programs
Zhou, Shaorui; Zhang, Hui; Shi, Ning; Xu, Zhou; Wang, Fan - In: European journal of operational research : EJOR 283 (2020) 1, pp. 33-46
Persistent link: https://www.econbiz.de/10012161913
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The Benders by batch algorithm : design and stabilization of an enhanced algorithm to solve multicut Benders reformulation of two-stage stochastic programs
Blanchot, Xavier; Clautiaux, François; Detienne, Boris; … - In: European journal of operational research : EJOR 309 (2023) 1, pp. 202-216
Persistent link: https://www.econbiz.de/10014290441
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Online linear programming : dual convergence, new algorithms, and regret bounds
Li, Xiaocheng; Ye, Yinyu - In: Operations research 70 (2022) 5, pp. 2948-2966
Persistent link: https://www.econbiz.de/10014307143
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An integer L-shaped algorithm for vehicle routing problem with simultaneous delivery and stochastic pickup
Che, Yuxin; Zhang, Zhenzhen - In: Computers & operations research : and their … 154 (2023), pp. 1-15
Persistent link: https://www.econbiz.de/10014308223
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Chance constrained unit commitment approximation under stochastic wind energy
Guo, Ge; Zephyr, Luckny; Morillo, José; Wang, Zongjie; … - In: Computers & operations research : and their … 134 (2021), pp. 1-13
Persistent link: https://www.econbiz.de/10012649657
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Decomposition approaches for block-structured chance-constrained programs with application to hydro-thermal unit commitment
Ackooij, Wim van - In: Mathematical methods of operations research 80 (2014) 3, pp. 227-253
Persistent link: https://www.econbiz.de/10010442262
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Progressive hedging for stochastic programs with cross-scenario inequality constraints
Aasgård, Ellen Krohn; Skjelbred, Hans Ivar - In: Computational management science 17 (2020) 1, pp. 141-160
Persistent link: https://www.econbiz.de/10012206038
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A sample average approximation method for disassemblx line balancing problem under uncertainty
Bentaha, Mohand Lounes; Battaïa, Olga; Dolgui, Alexandre - In: Computers & operations research : and their … 51 (2014), pp. 111-122
Persistent link: https://www.econbiz.de/10010408891
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Preprocessing techniques and column generation algorithms for stochastically efficient demand
Lejeune, M. A. - In: Journal of the Operational Research Society : OR 59 (2008) 9, pp. 1239-1252
Persistent link: https://www.econbiz.de/10003780200