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Alternative TitleMission Planning for Small Satellite Constellations Based on Improved Genetic Algorithm
韩传奇; 刘玉荣; 李虎
Source Publication空间科学学报
Keyword任务规划 小卫星星群 改进遗传算法
Other AbstractBased on operational features of small satellite constellation, a multi-task mission planning problem model for small satellite constellation is established, and a multi-index optimization function based on imaging task period and equilibration is proposed. Furthermore, an improved genetic algorithm involving strategies of random allocation of resources as well as elite population reservation is applied to the established model. The algorithm improves the efficiency of related solution and guarantees the convergence of the final result. The simulation result shows that the improved genetic algorithm is applicable and effective to the specific needs of mission planning problem for small satellite constellation.
Indexed ByCSCD
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Cited Times:3[CSCD]   [CSCD Record]
Document Type期刊论文
Recommended Citation
GB/T 7714
韩传奇,刘玉荣,李虎. 基于改进遗传算法对小卫星星群任务规划研究[J]. 空间科学学报,2019,39(1):129-134.
APA 韩传奇,刘玉荣,&李虎.(2019).基于改进遗传算法对小卫星星群任务规划研究.空间科学学报,39(1),129-134.
MLA 韩传奇,et al."基于改进遗传算法对小卫星星群任务规划研究".空间科学学报 39.1(2019):129-134.
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