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Cited article:

A neural priority model for agile earth observation satellite scheduling using deep reinforcement learning

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Solving the Agile Earth Observation Satellite Scheduling Problem With Time-Dependent Transition Times

Guansheng Peng, Guopeng Song, Yongming He, Jing Yu, Shang Xiang, Lining Xing and Pieter Vansteenwegen
IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (3) 1614 (2022)
https://doi.org/10.1109/TSMC.2020.3031738

A multi-objective scheduling method for operational coordination time using improved triangular fuzzy number representation

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PLOS ONE 16 (6) e0252293 (2021)
https://doi.org/10.1371/journal.pone.0252293

Agile earth observation satellite scheduling: An orienteering problem with time-dependent profits and travel times

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Computers & Operations Research 111 84 (2019)
https://doi.org/10.1016/j.cor.2019.05.030

A Branch and Bound Algorithm for Agile Earth Observation Satellite Scheduling

Xiaogeng Chu, Yuning Chen and Lining Xing
Discrete Dynamics in Nature and Society 2017 1 (2017)
https://doi.org/10.1155/2017/7345941

Adaptable Data Download Schedules for Agile Earth-Observing Satellites

A. Maillard, G. Verfaillie, C. Pralet, et al.
Journal of Aerospace Information Systems 13 (3) 280 (2016)
https://doi.org/10.2514/1.I010383

A multi-objective local search heuristic for scheduling Earth observations taken by an agile satellite

Panwadee Tangpattanakul, Nicolas Jozefowiez and Pierre Lopez
European Journal of Operational Research 245 (2) 542 (2015)
https://doi.org/10.1016/j.ejor.2015.03.011

Principles and Practice of Constraint Programming

Cédric Pralet, Solange Lemai-Chenevier and Jean Jaubert
Lecture Notes in Computer Science, Principles and Practice of Constraint Programming 9255 704 (2015)
https://doi.org/10.1007/978-3-319-23219-5_48