10 November 2007 Satellite mission scheduling algorithm based on GA
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Proceedings Volume 6795, Second International Conference on Space Information Technology; 67950U (2007) https://doi.org/10.1117/12.772982
Event: Second International Conference on Spatial Information Technology, 2007, Wuhan, China
The Satellite Mission Scheduling problem (SMS) involves scheduling tasks to be performed by a satellite, where new task requests can arrive at any time, non-deterministically, and must be scheduled in real-time. This paper describes a new Satellite Mission Scheduling problem based on Genetic Algorithm (SMSGA). In this paper, it investigates algorithmic approaches for determining an optimal or near-optimal sequence of tasks, allocated to a satellite payload over time, with dynamic tasking considerations. The simulation results show that the proposed approach is effective and efficient in applications to the real problems.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Baolin Sun, Baolin Sun, Lifei Mao, Lifei Mao, Wenxiang Wang, Wenxiang Wang, Xing Xie, Xing Xie, Qianqing Qin, Qianqing Qin, } "Satellite mission scheduling algorithm based on GA", Proc. SPIE 6795, Second International Conference on Space Information Technology, 67950U (10 November 2007); doi: 10.1117/12.772982; https://doi.org/10.1117/12.772982

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