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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Vydané v:	Computer modeling in engineering & sciences Ročník 122; číslo 1; s. 235 - 257
Hlavní autori:	Zhao, Yanbin, Du, Bin, Li, Shuang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Henderson Tech Science Press 01.01.2020
Predmet:	Agile Satellite Algorithms Clustering Computer simulation Economic models Mission Planning Satellite observation Schedules Tabu Algorithm Task Clustering
ISSN:	1526-1492, 1526-1506, 1526-1506
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