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Particle swarm optimization based space debris surveillance network scheduling
Jiang, Hai1,2,3; Liu, Jing1,2,3; Cheng, Hao-Wen1,3; Zhang, Yao1,2,3
2017-02-01
发表期刊RESEARCH IN ASTRONOMY AND ASTROPHYSICS
卷号17期号:3
摘要The increasing number of space debris has created an orbital debris environment that poses increasing impact risks to existing space systems and human space flights. For the safety of in-orbit spacecrafts, we should optimally schedule surveillance tasks for the existing facilities to allocate resources in a manner that most significantly improves the ability to predict and detect events involving affected spacecrafts. This paper analyzes two criteria that mainly affect the performance of a scheduling scheme and introduces an artificial intelligence algorithm into the scheduling of tasks of the space debris surveillance network. A new scheduling algorithm based on the particle swarm optimization algorithmis proposed, which can be implemented in two different ways: individual optimization and joint optimization. Numerical experiments with multiple facilities and objects are conducted based on the proposed algorithm, and simulation results have demonstrated the effectiveness of the proposed algorithm.
文章类型Article
关键词Methods: Data Analysis Observational Catalogs Telescopes Techniques: Radar Astronomy
WOS标题词Science & Technology ; Physical Sciences
资助者National Natural Science Foundation of China(11503044) ; National Natural Science Foundation of China(11503044) ; Young Researcher Grant of National Astronomical Observatories ; Young Researcher Grant of National Astronomical Observatories ; Chinese Academy of Sciences. ; Chinese Academy of Sciences. ; National Natural Science Foundation of China(11503044) ; National Natural Science Foundation of China(11503044) ; Young Researcher Grant of National Astronomical Observatories ; Young Researcher Grant of National Astronomical Observatories ; Chinese Academy of Sciences. ; Chinese Academy of Sciences.
DOI10.1088/1674-4527/17/3/30
收录类别SCI
语种英语
资助者National Natural Science Foundation of China(11503044) ; National Natural Science Foundation of China(11503044) ; Young Researcher Grant of National Astronomical Observatories ; Young Researcher Grant of National Astronomical Observatories ; Chinese Academy of Sciences. ; Chinese Academy of Sciences. ; National Natural Science Foundation of China(11503044) ; National Natural Science Foundation of China(11503044) ; Young Researcher Grant of National Astronomical Observatories ; Young Researcher Grant of National Astronomical Observatories ; Chinese Academy of Sciences. ; Chinese Academy of Sciences.
WOS研究方向Astronomy & Astrophysics
WOS类目Astronomy & Astrophysics
WOS记录号WOS:000397210100009
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.bao.ac.cn/handle/114a11/8254
专题应用天文研究部
作者单位1.Chinese Acad Sci, Natl Astron Observatories, Beijing 100012, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.China Natl Space Adm, Space Debris Observat & Data Applicat Ctr, Beijing 100012, Peoples R China
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Jiang, Hai,Liu, Jing,Cheng, Hao-Wen,et al. Particle swarm optimization based space debris surveillance network scheduling[J]. RESEARCH IN ASTRONOMY AND ASTROPHYSICS,2017,17(3).
APA Jiang, Hai,Liu, Jing,Cheng, Hao-Wen,&Zhang, Yao.(2017).Particle swarm optimization based space debris surveillance network scheduling.RESEARCH IN ASTRONOMY AND ASTROPHYSICS,17(3).
MLA Jiang, Hai,et al."Particle swarm optimization based space debris surveillance network scheduling".RESEARCH IN ASTRONOMY AND ASTROPHYSICS 17.3(2017).
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