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Variable pricing in restaurant revenue management : a priority mixed bundle strategy
Webb, Timothy; Ma, Jing; Cheng, Andong - In: The Cornell hospitality quarterly 64 (2023) 1, pp. 22-33
Persistent link: https://www.econbiz.de/10014229646
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Learning tabu search algorithms : a scheduling application
Niroumandrad, Nazgol; Lahrichi, Nadia; Lodi, Andrea - In: Computers & operations research : an international journal 170 (2024), pp. 1-16
Persistent link: https://www.econbiz.de/10015066280
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A deep reinforcement learning hyperheuristic for the covering tour problem with varying coverage
Torabi, Parisa; Hemmati, Ahmad; Oleynik, Anna; Alendal, … - In: Computers & operations research : an international journal 174 (2025), pp. 1-11
Persistent link: https://www.econbiz.de/10015330145
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Learning to steer nonlinear interior-point methods
Kuhlmann, Renke - In: EURO journal on computational optimization 7 (2019) 4, pp. 381-419
Persistent link: https://www.econbiz.de/10012314127
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Learning to handle parameter perturbations in Combinatorial Optimization : an application to facility location
Lodi, Andrea; Mossina, Luca; Rachelson, Emmanuel - In: EURO journal on transportation and logistics 9 (2020) 4, pp. 1-13
Learning. Specifically, our study is framed in the context where a reference discrete optimization problem is given and there …
Persistent link: https://www.econbiz.de/10012390942
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Optimization problems for machine learning : a survey
Gambella, Claudio; Ghaddar, Bissan; Naoum-Sawaya, Joe - In: European journal of operational research : EJOR 290 (2021) 3, pp. 807-828
Persistent link: https://www.econbiz.de/10012495225
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SDP-based bounds for the quadratic cycle cover problem via cutting-plane augmented Lagrangian methods and reinforcement learning
Meijer, Frank de; Sotirov, Renata - In: INFORMS journal on computing : JOC 33 (2021) 4, pp. 1262-1276
Persistent link: https://www.econbiz.de/10012796691
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Lenovo schedules laptop manufacturing using deep reinforcement learning
Liang, Yi; Sun, Zan; Song, Tianheng; Chou, Qiang; Fan, Wei - In: INFORMS journal on applied analytics 52 (2022) 1, pp. 56-68
Persistent link: https://www.econbiz.de/10012818041
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Disassembly line optimization with reinforcement learning
Kegyes, Tamás; Süle, Zoltán; Abonyi, János - In: Central European journal of operations research 32 (2024) 4, pp. 1115-1142
Persistent link: https://www.econbiz.de/10015077930
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Double Deep Q-Learning for optimal execution
Ning, Brian; Lin, Franco Ho Ting; Jaimungal, Sebastian - In: Applied mathematical finance 28 (2021) 4, pp. 361-380
Persistent link: https://www.econbiz.de/10013411703