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UAV route planning using Multiobjective Ant Colony System

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4 Author(s)
Wang Zhenhua ; Sch. of Autom., Northwestern Polytech. Univ., Xian ; Zhang Weiguo ; Shi Jingping ; Han Ying

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.

Published in:

Cybernetics and Intelligent Systems, 2008 IEEE Conference on

Date of Conference:

21-24 Sept. 2008