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.
Citation
Da-Wei Jin. Li-Ning Xing. "A Knowledge-Based Simulated Annealing Algorithm to Multiple Satellites Mission Planning Problems." J. Appl. Math. 2013 1 - 7, 2013. https://doi.org/10.1155/2013/913450
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