Title :
UAV route planning using Multiobjective Ant Colony System
Author :
Zhenhua, Wang ; Weiguo, Zhang ; Jingping, Shi ; Ying, Han
Author_Institution :
Sch. of Autom., Northwestern Polytech. Univ., Xian
Abstract :
In this article we present an application of the multiobjective ant colony system (MACS) algorithm to the uninhabited aerial vehicles (UAVs) route planning problem based on Voronoi diagram. First, we construct the objective functions: minimize the route length and danger exposure. Then the MACS algorithm concept is introduced and modified to accommodate the route planning situation. The computational results show the efficiency of this method.
Keywords :
Pareto optimisation; aircraft; computational geometry; decision making; path planning; remotely operated vehicles; UAV route planning; Voronoi diagram; multiobjective ant colony system; uninhabited aerial vehicles; Airports; Automation; Force sensors; Intelligent sensors; Mathematics; Missiles; Protection; Radar; Reconnaissance; Unmanned aerial vehicles; MACS; Pareto front UAV route planning; VORONOI diagram;
Conference_Titel :
Cybernetics and Intelligent Systems, 2008 IEEE Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1673-8
Electronic_ISBN :
978-1-4244-1674-5
DOI :
10.1109/ICCIS.2008.4670944
