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采用多重启发蚁群优化算法的无人机航迹规划
引用本文:李猛,王道波,盛守照.采用多重启发蚁群优化算法的无人机航迹规划[J].华南理工大学学报(自然科学版),2011(10):37-43.
作者姓名:李猛  王道波  盛守照
作者单位:南京航空航天大学自动化学院;
基金项目:航空科学基金资助项目(20101352015)
摘    要:为解决复杂环境下的无人机航迹规划问题,提出了一种多重启发蚁群优化算法.该算法综合考虑无人机当前位置与待选位置之间的距离和威胁分布,以及待选位置与目标位置之间的距离和威胁分布,将这些已知信息构造为蚂蚁状态转移的多重启发信息,指导蚂蚁的搜索行为.文中对多重启发蚁群优化算法的收敛性进行了分析,并针对航迹不可行和任务区域内存在...

关 键 词:航迹规划  多重启发  蚁群优化算法  无人机

UAV Route Planning Using Multi-Heuristic Ant Colony Optimization Algorithm
Li Meng Wang Dao-bo Sheng Shou-zhao.UAV Route Planning Using Multi-Heuristic Ant Colony Optimization Algorithm[J].Journal of South China University of Technology(Natural Science Edition),2011(10):37-43.
Authors:Li Meng Wang Dao-bo Sheng Shou-zhao
Institution:Li Meng Wang Dao-bo Sheng Shou-zhao(College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,Jiangsu,China)
Abstract:In this paper,a multi-heuristic ant colony optimization algorithm is proposed for the route planning of the unmanned aerial vehicle(UAV) in complex environments.In the algorithm,the distance and the threat distribution between the current UAV position and the candidate one,as well as between the candidate position and the target one,are designed as the multi-heuristic information in the state transition of ants to guide their search beha-viors.Moreover,the convergence of the ant colony optimization algorith...
Keywords:route planning  multi-heuristic  ant colony optimization algorithm  unmanned aerial vehicles  
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