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Published in LESCDT 2024 - 2nd International Conference on Logistics Engineering, Supply Chain and Digital Transformation, 2024
This paper presents a reinforcement learning approach for initializing columns in column generation, improving efficiency in aircraft recovery.
Recommended citation: J. Lu and X. Qian, 'A Reinforcement Learning Approach for Initialization of Column Generation with Application to Aircraft Recovery Problem,' in LESCDT 2024.
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Published in MSN 2024 - 20th International Conference on Mobility, Sensing and Networking, 2024
This paper proposes a reinforcement learning approach to optimize microservice scheduling in edge computing environments, improving efficiency by 65%.
Recommended citation: J. Lu, W. Li, J. Guo, X. Ding, Z. Tang, and T. Wang, 'Container Scheduling with Dynamic Computing Resource for Microservice Deployment in Edge Computing,' in MSN 2024.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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