Learning Adaptive Genetic Algorithm for Earth Electromagnetic Satellite Scheduling
Author:
Affiliation:
1. Xidian University, Xian, China
2. National University of Defense Technology, Changsha, China
3. Qatar University, Doha, Qatar
4. University of Alberta, Edmonton, Canada
5. The University of Auckland, Auckland, New Zealand
Funder
Science and Technology Innovation Team of Shaanxi Province
Special Project in Major Fields of Guangdong Universities
Hunan Key Laboratory of Intelligent Decision-Making Technology for Emergency Management
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Aerospace Engineering
Link
http://xplorestaging.ieee.org/ielx7/7/10353051/10241983.pdf?arnumber=10241983
Reference45 articles.
1. The state-of-the-art of the China Seismo-Electromagnetic Satellite mission
2. Satellite Communications in the New Space Era: A Survey and Future Challenges
3. Use of satellites to detect seismo-electromagnetic effects
4. Robust Earth Observation Satellite Scheduling With Uncertainty of Cloud Coverage
5. Coordinated Scheduling of Air and Space Observation Resources Via Divide and Conquer Framework and Iterative Optimization
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