Title :
Route Planning for Unmanned Aircraft Based on Ant Colony Optimization and Voronoi Diagram
Author :
Shudao Zhou ; Jun Wang ; Yongqi Jin
Author_Institution :
Inst. of Meteorol., PLA Univ. of Sci. & Tech., Nanjing, China
Abstract :
The technology based on ant colony optimization and Voronoi diagram was used to achieve the intelligent route planning for unmanned aircraft. First, the Voronoi weighted direction diagram was created by the threat sources distribution and the threat costs. Then the ant colony optimization was used to find out the best route from all the possible routes. Simulation was carried out to find the best route by the Matlab soft, the results showed the UAV route planning based on Voronoi diagram and ant colony optimization was right and effective.
Keywords :
aerospace control; ant colony optimisation; autonomous aerial vehicles; computational geometry; mobile robots; UAV route planning; Voronoi weighted direction diagram; ant colony optimization; intelligent route planning; route planning; threat sources distribution; unmanned aircraft; Algorithm design and analysis; Ant colony optimization; Fuels; Planning; Radar tracking; Unmanned aerial vehicles; Ant colony optimization; Route planning of intelligent; Unmanned aircraft; Voronoi diagram;
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4577-2120-5
DOI :
10.1109/ISdea.2012.568
