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A survey on AI-based scheduling models, optimization and prediction for hydropower generation : variants, challenges, and future directions
Villeneuve, Yoan; Séguin, Sara; Chehri, Abdellah - 2022
Persistent link: https://www.econbiz.de/10013502350
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Continuous time learning algorithms in optimization and game theory
Sorin, Sylvain - In: Dynamic games and applications : DGA 13 (2023) 1, pp. 3-24
Persistent link: https://www.econbiz.de/10014225772
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Predictive stochastic programming
Deng, Yunxiao; Sen, Suvrajeet - In: Computational management science 19 (2022) 1, pp. 65-98
Persistent link: https://www.econbiz.de/10012817294
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Workforce production planning under uncertain learning rates
Cavagnini, Rossana; Hewitt, Mike; Maggioni, Francesca - In: International journal of production economics 225 (2020), pp. 1-19
Persistent link: https://www.econbiz.de/10012293871
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Catastrophic thresholds, Bayesian learning and the robustness of climate policy recommendations
Chang, Wonjun; Rutherford, Thomas F. - In: Climate change economics 8 (2017) 4, pp. 1-23
Persistent link: https://www.econbiz.de/10011857264
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Balancing flexibility and inventory in workforce planning with learning
Valeva, Silviya; Hewitt, Mike; Thomas, Barrett W.; … - In: International journal of production economics 183 (2017), pp. 194-207
Persistent link: https://www.econbiz.de/10011641049
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A unified framework for stochastic optimization
Powell, Warren B. - In: European journal of operational research : EJOR 275 (2019) 3, pp. 795-821
Persistent link: https://www.econbiz.de/10011993597
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Fast continuous and integer L-shaped heuristics through supervised learning
Larsen, Eric; Frejinger, Emma; Gendron, Bernard; Lodi, … - In: INFORMS journal on computing : JOC ; charting new … 36 (2024) 1, pp. 203-223
Persistent link: https://www.econbiz.de/10014474917
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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
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Predicting tactical solutions to operational planning problems under imperfect information
Larsen, Eric; Lachapelle, Sébastien; Bengio, Yoshua; … - In: INFORMS journal on computing : JOC ; charting new … 34 (2022) 1, pp. 227-242
Persistent link: https://www.econbiz.de/10013358938