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

机译:基于蚁群优化和Voronoi图的无人机航路规划

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摘要

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.
机译:利用基于蚁群优化和Voronoi图的技术,实现了无人飞机的智能路径规划。首先,通过威胁源分布和威胁成本创建了Voronoi加权方向图。然后使用蚁群优化从所有可能的路线中找出最佳路线。通过Matlab软件进行仿真,找出最佳航路,结果表明基于Voronoi图的无人机航路规划和蚁群优化是正确有效的。

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