Agile Satellite Mission Planning via Task Clustering and Double-Layer Tabu Algorithm

Satellite observation schedule is investigated in this paper. A mission planning algorithm of task clustering is proposed to improve the observation efficiency of agile satellite. The newly developed method can make the satellite observe more targets and therefore save observation resources. First,...

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Veröffentlicht in:	Computer modeling in engineering & sciences Jg. 122; H. 1; S. 235 - 257
Hauptverfasser:	Zhao, Yanbin, Du, Bin, Li, Shuang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Henderson Tech Science Press 01.01.2020
Schlagworte:	Agile Satellite Algorithms Clustering Computer simulation Economic models Mission Planning Satellite observation Schedules Tabu Algorithm Task Clustering
ISSN:	1526-1492, 1526-1506, 1526-1506
Online-Zugang:	Volltext
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