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Journal of Applied Mathematics
Volume 2013, Article ID 913450, 7 pages
http://dx.doi.org/10.1155/2013/913450
Research Article

A Knowledge-Based Simulated Annealing Algorithm to Multiple Satellites Mission Planning Problems

1Information and Safety School, Zhongnan University of Economic and Law, Wuhan 430073, China
2College of Information System and Management, National University of Defense Technology, Changsha 410073, China

Received 21 September 2013; Accepted 5 November 2013

Academic Editor: Zhongxiao Jia

Copyright © 2013 Da-Wei Jin and Li-Ning Xing. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.