A Space Telescope Scheduling Approach Combining Observation Priority Coding with Problem Decomposition Strategies

With the increasing number of space debris, the demand for telescopes to observe space debris is also constantly increasing. The telescope observation scheduling problem requires algorithms to schedule telescopes to maximize observation value within the visible time constraints of space debris, especially when dealing with large-scale problems. This paper proposes a practical heuristic algorithm to solve the telescope observation of space debris scheduling problem. In order to accelerate the solving speed of algorithms on large-scale problems, this paper combines the characteristics of the problem and partitions the large-scale problem into multiple sub-problems according to the observation time. In each sub-problem, a coding method based on the priority of the target going into the queue is proposed in combination with the actual observation data, and a decoding method matching the coding method is designed. In the solution process for each sub-problem, an adaptive variable neighborhood search is used to solve the space debris observation plan. When solving all sub-problems is completed, the observation plans obtained on all sub-problems are combined to obtain the observation plan of the original problem.

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Publication Details

Journal
Biomimetics
Published
2024-11-21
DOI
https://doi.org/10.3390/biomimetics9120718
Citations
2
Primary Topic
Space Satellite Systems and Control
Type
article
Field-Weighted Citation Impact
2.60

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A Space Telescope Scheduling Approach Combining Observation Priority Coding with Problem Decomposition Strategies

Xianchao Zhang, Kaiyuan Zhang, Xiaoyun Xia, Bao‐Lin Ye et al.
2 citations
Biomimetics
Space Satellite Systems and Control
2.60
article

A Space Telescope Scheduling Approach Combining Observation Priority Coding with Problem Decomposition Strategies

Xianchao Zhang, Kaiyuan Zhang, Xiaoyun Xia, Bao‐Lin Ye, Zijia Wang, Hai Jiang
article en
2 citations

Abstract

With the increasing number of space debris, the demand for telescopes to observe space debris is also constantly increasing. The telescope observation scheduling problem requires algorithms to schedule telescopes to maximize observation value within the visible time constraints of space debris, especially when dealing with large-scale problems. This paper proposes a practical heuristic algorithm to solve the telescope observation of space debris scheduling problem. In order to accelerate the solving speed of algorithms on large-scale problems, this paper combines the characteristics of the problem and partitions the large-scale problem into multiple sub-problems according to the observation time. In each sub-problem, a coding method based on the priority of the target going into the queue is proposed in combination with the actual observation data, and a decoding method matching the coding method is designed. In the solution process for each sub-problem, an adaptive variable neighborhood search is used to solve the space debris observation plan. When solving all sub-problems is completed, the observation plans obtained on all sub-problems are combined to obtain the observation plan of the original problem.

BiomimeticsVol. 9(12)
Chinese Academy of Sciences (CN), Guangzhou University (CN), Jiaxing University (CN), National Astronomical Observatories (CN), Jiangxi University of Science and Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, Jiaxing University, National Key Research and Development Program of China, Natural Science Foundation of Zhejiang Province
Sustainable cities and communities
Openalex Percentile: Top 8%
Space Satellite Systems and Control
2.60
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