Particle swarm optimization for route planning of unmanned aerial vehicles

被引：24
|
作者：
Li, Shibo [1 ]
Sun, Xiuxia [1 ]
Xu, Yuejian [1 ]
机构：
[1] Univ Air Force Engn, Dept Automat Control, Xian 710038, Shanxi Province, Peoples R China
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON INFORMATION ACQUISITION, VOLS 1 AND 2, CONFERENCE PROCEEDINGS | 2006年
关键词：
D O I：
10.1109/ICIA.2006.305920
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
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.
引用
收藏
页码：1213 / 1218
页数：6
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