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

Author

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  • Da-Wei Jin
  • Li-Ning Xing

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.

Suggested Citation

  • Da-Wei Jin & Li-Ning Xing, 2013. "A Knowledge-Based Simulated Annealing Algorithm to Multiple Satellites Mission Planning Problems," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-7, November.
    • Handle: RePEc:hin:jnljam:913450
    DOI: 10.1155/2013/913450
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