Summary of intelligent algorithms in planning & scheduling of Earth observation satellite

Author

Wang, Hongfei ; Li, Xuzhi ; Liu, Yurong ; Zhou, Bing

Author_Institution

Acad. of Opto-Electron., Chinese Acad. of Sci., Beijing, China

Volume

3

fYear

2010

fDate

29-31 Oct. 2010

Firstpage

480

Lastpage

483

Abstract

Mission planning system is the core part of Earth observation satellites ground management, and it is a complex NP hard problem. This paper summarized the advantages and disadvantages of various mathematical models of the planning system today. And papers also analyzed the adaptability and Optimization result of intelligent algorithms in many different situations. Finally, the article gives the current EOS satellite mission planning system´s latest developments and trends in the future.

Keywords

aerospace computing; artificial satellites; computational complexity; planning (artificial intelligence); satellite ground stations; scheduling; Earth observation satellites ground management; artificial intelligence; complex NP hard problem; intelligent algorithms; mission planning system; Dynamic scheduling; Earth; Gallium; Heuristic algorithms; Planning; Testing; Earth Observation Satellite; Intelligent Algorithm; Planning & Scheduling; Planning model;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on

Conference_Location

Xiamen

Print_ISBN

978-1-4244-6582-8

Type

conf

DOI

10.1109/ICICISYS.2010.5658475

Filename

5658475