基于蚁群优化和Voronoi图的无人机航路规划

2012 Second International Conference on Intelligent System Design and Engineering Application Pub Date : 2012-01-06 DOI:10.1109/ISDEA.2012.568

Shudao Zhou, Jun Wang, Yongqi Jin

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引用次数: 12

摘要

采用基于蚁群优化和Voronoi图的技术实现了无人机的智能航路规划。首先，根据威胁源分布和威胁代价建立Voronoi加权方向图;然后利用蚁群算法从所有可能路径中找出最优路径。利用Matlab软件对最佳航路进行了仿真，结果表明基于Voronoi图和蚁群优化的无人机航路规划是正确有效的。

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Route Planning for Unmanned Aircraft Based on Ant Colony Optimization and Voronoi Diagram

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.

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来源期刊

2012 Second International Conference on Intelligent System Design and Engineering Application

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