Title :
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
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;
Conference_Titel :
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6582-8
DOI :
10.1109/ICICISYS.2010.5658475
