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A simulation-based approximate dynamic programming approach to dynamic and stochastic resource-constrained multi-project scheduling problem
Satic, U.; Jacko, P.; Kirkbride, Christopher - In: European journal of operational research : EJOR 315 (2024) 2, pp. 454-469
Persistent link: https://www.econbiz.de/10014564994
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Approximated multi-agent fitted Q iteration
Lesage-Landry, Antoine; Callaway, Duncan S. - 2022
Persistent link: https://www.econbiz.de/10013166326
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Off-line approximate dynamic programming for the vehicle routing problem with stochastic customers and demands via decentralized decision-making
Dastpak, Mohsen; Errico, Fausto - 2021
Persistent link: https://www.econbiz.de/10012650196
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A computational approach to sequential decision optimization in energy storage and trading
Falbo, Paolo; Hinz, Juri; Leelasilapasart, Piyachat; … - In: Journal of risk and financial management : JRFM 14 (2021) 6, pp. 1-22
Due to recent technical progress, battery energy storages are becoming a viable option in the power sector. Their optimal operational management focuses on load shift and shaving of price spikes. However, this requires optimally responding to electricity demand, intermittent generation, and...
Persistent link: https://www.econbiz.de/10012587686
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A review of approximate dynamic programming applications within military operations research
Rempel, M.; Cai, J. - In: Operations research perspectives 8 (2021), pp. 1-15
problem is dynamic programming; however its usefulness is limited due to the curse of dimensionality and the curse of … years the use of Approximate Dynamic Programming (ADP), known as reinforcement learning in many disciplines, to solve these …Sequences of decisions that occur under uncertainty arise in a variety of settings, including transportation …
Persistent link: https://www.econbiz.de/10012697432
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Interpretable optimal stopping
Ciocan, Dragos Florin; Misic, Velibor V. - 2018
Persistent link: https://www.econbiz.de/10012060394
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Interpretable optimal stopping
Ciocan, Dragos Florin; Misic, Velibor V. - 2020 - Revised version of 2018/48/TOM
Persistent link: https://www.econbiz.de/10012161461
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Balancing resources for dynamic vehicle routing with stochastic customer requests
Soeffker, Ninja; Ulmer, Marlin Wolf; Mattfeld, Dirk C. - In: OR spectrum : quantitative approaches in management 46 (2024) 2, pp. 331-373
Persistent link: https://www.econbiz.de/10014566057
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Accelerating value function approximations for dynamic dial-a-ride problems via dimensionality reductions
Heitmann, Reinhold-Julius Otto; Soeffker, Ninja; … - In: Computers & operations research : an international journal 167 (2024), pp. 1-17
Persistent link: https://www.econbiz.de/10014566086
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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
problem is a stochastic dynamic multi-period routing problem with inventory and purchasing decisions. The decision space of … iteratively via repeated simulation and adaption of the lookahead. We show that our method outperforms a large number of benchmark …
Persistent link: https://www.econbiz.de/10014282392