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无人机航路规划算法研究
引用本文:叶文,廉华耕,漆云海,陈海生,赵方义.无人机航路规划算法研究[J].电光与控制,2011,18(2):8-12,17.
作者姓名:叶文  廉华耕  漆云海  陈海生  赵方义
作者单位:叶文,YE Wen(海军航空工程学院兵器科学与技术系,山东,烟台,264001);廉华耕,LIAN Huageng(中国人民解放军91286部队,山东,青岛,266071);漆云海,陈海生,QI Yunhai,CHEN Haisheng(海军装备部,北京,100841);赵方义,ZHAO Fangyi(中国人民解放军91006部队,合肥,231614)
基金项目:航空电子系统综合技术国防科技重点实验室和航空科学基金资助项目
摘    要:针对无人机航路规划问题,研究了一种基于元胞蚂蚁算法的无人机航路规划方法.元胞蚂蚁算法对基本蚁群算法进行了系列改进,并将元胞邻居演化和改进后的蚂蚁寻优相结合,有效地克服了基本蚁群算法的收敛速度慢、易于过早陷入局部最优的缺点,提高了算法的运算精度,从而为解决复杂战场环境下无人机航路规划这一多约束多目标优化问题提供了一条可行...

关 键 词:无人机  航路规划  元胞蚂蚁算法

Path Planning Algorithm for UAV
YE Wen,LIAN Huageng,QI Yunhai,CHEN Haisheng,ZHAO Fangyi.Path Planning Algorithm for UAV[J].Electronics Optics & Control,2011,18(2):8-12,17.
Authors:YE Wen  LIAN Huageng  QI Yunhai  CHEN Haisheng  ZHAO Fangyi
Affiliation:YE Wen1,LIAN Huageng2,QI Yunhai3,CHEN Haisheng3,ZHAO Fangyi4(1.Naval Aeronautical and Astronautical University,Yantai 264001,China,2.No.91286 Unit of PLA,Qingdao 266071,3.Equipment Department of the Navy,Beijing 100841,4.No.91006 Unit of PLA,Hefei 231614,China)
Abstract:It was proposed to use cellular ant algorithm in path planning of Unmanned Aerial Vehicle(UAV).A series of improvements were made in cellular ant algorithm on the basis of the basic ant colony algorithm.Then the improved ant colony algorithm was used together with evolutionary rule of cellular in cellular space.The simulation results showed that the cellular ant algorithm could help the solutions to escape from their local optimum and could find a better path at higher convergence speed and with a higher pr...
Keywords:UAV  path planning  cellular ant algorithm  
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