A Knowledge-Based Simulated Annealing Algorithm to Multiple Satellites Mission Planning Problems
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-27
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The multiple satellites mission planning is a complex combination optimization problem.
A knowledge-based simulated annealing algorithm is proposed to the multiple satellites mission planning problems.
The experimental results suggest that the proposed algorithm is effective to the given problem.
The knowledge-based simulated annealing method will provide a useful reference for the improvement of existing optimization approaches.
American Psychological Association (APA)
Jin, Da-Wei& Xing, Li-Ning. 2013. A Knowledge-Based Simulated Annealing Algorithm to Multiple Satellites Mission Planning Problems. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-507589
Modern Language Association (MLA)
Jin, Da-Wei& Xing, Li-Ning. A Knowledge-Based Simulated Annealing Algorithm to Multiple Satellites Mission Planning Problems. Journal of Applied Mathematics No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-507589
American Medical Association (AMA)
Jin, Da-Wei& Xing, Li-Ning. A Knowledge-Based Simulated Annealing Algorithm to Multiple Satellites Mission Planning Problems. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-507589
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-507589
