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Unexpected events such as airport closures pose significant operational and financial challenges to the operations control centre, requiring decision-makers to make rapid and cost-efficient decisions that minimise the impacts and recover the schedule from these disruptions as soon as possible.
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RLEM: Deep Reinforcement Learning Ensemble Method for Aircraft Recovery Problem
2024 IEEE International Conference on Big Data (BigData)Dominik Zurek +4 more
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Fast and Efficient Integer Linear Programming Method for Aircraft Recovery Problem
2025 IEEE International Conference on Big Data (BigData)Dominik Zurek +5 more
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Transportation Research Part C: Emerging Technologies
Yifan Xu, Zhiyuan Shen, Zhaoxuan Liu
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Yifan Xu, Zhiyuan Shen, Zhaoxuan Liu
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Transportation Research, Part E: Logistics and Transportation Review, 2016
Yuzhen Hu, Kang Zhao, Baoguang Xu
exaly
Yuzhen Hu, Kang Zhao, Baoguang Xu
exaly
Proceedings of the 10th International Conference on Cyber Security and Information Engineering
Jingxi Lu, Xiongwen Qian
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Jingxi Lu, Xiongwen Qian
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A simheuristic approach for solving the Aircraft Recovery Problem with stochastic delays
2017Guimarans, Daniel +2 more
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