UAV route planning using Multiobjective Ant Colony System

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 algo...

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Bibliographic Details
Main Authors: Wang Zhenhua, Zhang Weiguo, Shi Jingping, Han Ying
Format: Conference Proceeding
Language:English
Subjects:
Airports
Automation
Force sensors
Intelligent sensors
MACS
Mathematics
Missiles
Pareto front UAV route planning
Protection
Radar
Reconnaissance
Unmanned aerial vehicles
VORONOI diagram
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Summary: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.
ISSN:2326-8123
DOI:10.1109/ICCIS.2008.4670944