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Oracle-based robust optimization via online learning
Ben-Tal, Aharon; Hazan, Elad; Koren, Tomer; Mannor, Shie - In: Operations research 63 (2015) 3, pp. 628-638
Persistent link: https://www.econbiz.de/10011292951
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Online learning over a finite action set with limited switching
Altschuler, Jason M.; Talwar, Kunal - In: Mathematics of operations research 46 (2021) 1, pp. 179-203
Persistent link: https://www.econbiz.de/10012498109
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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
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The geometry of online packing linear programs
Molinaro, Marco; Ravi, Ramamoorthi - In: Mathematics of operations research 39 (2014) 1, pp. 46-59
Persistent link: https://www.econbiz.de/10010345225
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Efficient online linear optimization with approximation algorithms
Garber, Dan - In: Mathematics of operations research 46 (2021) 1, pp. 204-220
Persistent link: https://www.econbiz.de/10012498112
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Optimal online learning for nonlinear belief models using discrete priors
Han, Weidong; Powell, Warren B. - In: Operations research 68 (2020) 5, pp. 1538-1556
Persistent link: https://www.econbiz.de/10012301569
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Optimal learning for structured bandits
Parys, Bart P. G. van; Golrezaei, Negin - In: Management science : journal of the Institute for … 70 (2024) 6, pp. 3951-3998
Persistent link: https://www.econbiz.de/10014552520
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Multiple strategies based orthogonal design particle swarm optimizer for numerical optimization
Qin, Quande; Cheng, Shi; Zhang, Qingyu; Wei, Yi-Ming; … - In: Computers & operations research : and their … 60 (2015), pp. 91-110
Persistent link: https://www.econbiz.de/10011279666
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A dynamic learning algorithm for online matching problems with concave returns
Chen, Xiao Alison; Wang, Zizhuo - In: European journal of operational research : EJOR 247 (2015) 2, pp. 379-388
Persistent link: https://www.econbiz.de/10011374494
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Evolutionäre Optimierungsverfahren und ihr Einsatz in der ökonomischen Forschung
Clemens, Christiane; Riechmann, Thomas - 1996
Dieser Beitrag bietet eine Einführung in eine Gruppe moderner Algorithmen, den sogenannten evolutionären Optimierungsverfahren. Anhand eines einfachen Beispiels wird die grundsätzliche Funktionsweise dieser Algorithmen skizziert. Darüberhinaus wird ein Überblick über die...
Persistent link: https://www.econbiz.de/10011526571