Acknowledgements. This work was supported by Changsha Municipal Natural Science Foundation(Grant No. kq2014160), the National Natural Science Foundation of China (Grant No. 61703441), the State Bureau of Forestry “948” project in China (Grant No. 2014-4-09).
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本校为第一机构
摘要:
A scheduling model of forest fire extinguishing suitable for Southern forests is proposed in this paper. First of all, according to forest fire fighting strategy, we can determine the extinguishing points that can divide the fire field and break them one by one. Then, quantum particle swarm optimization is used to calculate the optimal path. If there are “flying fire” and other emergencies in the fire extinguishing process, the improved Ant Colony algorithm based on periodically pheromone updating is used to schedule resources including perso...