DocumentCode
3352339
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
fYear
2008
fDate
21-24 Sept. 2008
Firstpage
797
Lastpage
800
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICCIS.2008.4670944
Filename
4670944
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