Particle Swarm Optimization for Route Planning of Unmanned Aerial Vehicles

摘要：

Route planning for unmanned aerial vehicle (UAV) is an extremely complex problem. Different means of optimization have been investigated for unmanned vehicles with various algorithms like genetic algorithms, evolution computations, neutral networks etc. This paper presents the application of Particle Swarm Optimization (PSO) for route planning problem. The route planning area is represented by a mesh of equal square cells. The objective function is constituted based on the factors of the flight time and safety. The threat level is evaluated with fuzzy technique. The implementation of the PSO search strategy to the route-planning problem is given. Simulation results indicate that the PSO based algorithm is a feasible approach for route planning problem.

作者: Shibo Li Xiuxia Sun Yuejian Xu

作者单位: Department of Automatic Control University of Air Force Engineering Shan xi Province, Xian, 710038,CHINA

会议类型: 国际会议

会议名称: 2006 IEEE International Conference on Information Acquisition

会议地点: 山东威海

会议语种:英文

页码: 1213-1218

在线出版日期: 2006-08-20（万方平台首次上网日期，不代表论文的发表时间）