A Comparison Study on Meta-Heuristics for Ground Station Scheduling Problem
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7021861/7023898/07023950.pdf?arnumber=7023950
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Reinforcement learning-based ground stations scheduling algorithm for LEO satellites;Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022);2022-11-23
2. Exact and Heuristic Scheduling Algorithms for Multiple Earth Observation Satellites Under Uncertainties of Clouds;IEEE Systems Journal;2019-09
3. Closed-Loop Multi-Satellite Scheduling Based on Hierarchical MDP;2019 22th International Conference on Information Fusion (FUSION);2019-07
4. A Web Interface for Satellite Scheduling Problems;2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA);2016-03
5. Exact and Inexact Scheduling Algorithms for Multiple Earth Observation Satellites Under Uncertainties of Clouds;SSRN Electronic Journal;2015
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