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
Abstract
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.
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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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