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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
Source PublicationRESEARCH IN ASTRONOMY AND ASTROPHYSICS
Volume17Issue:3
AbstractThe 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.
SubtypeArticle
KeywordMethods: Data Analysis Observational Catalogs Telescopes Techniques: Radar Astronomy
WOS HeadingsScience & Technology ; Physical Sciences
Funding OrganizationNational 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
Indexed BySCI
Language英语
Funding OrganizationNational 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 Research AreaAstronomy & Astrophysics
WOS SubjectAstronomy & Astrophysics
WOS IDWOS:000397210100009
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/8254
Collection应用天文研究部
Affiliation1.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
Recommended Citation
GB/T 7714
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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