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Algorithm for Low Altitude Penetration Aircraft Path Planning with Improved Ant Colony Algorithm

机译:改进蚁群算法的低空侵彻飞机路径规划算法

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摘要

The ant colony algorithm is a. new class of population basic algorithm. The path planning is realized by the use of ant colony algorithm when the plane executes the low altitude penetration, which provides a new method for the path planning. In the paper the traditional ant colony algorithm is improved, and measures of keeping optimization, adaptively selecting and adaptively adjusting are applied, by which better path at higher convergence speed can be found. Finally the algorithm is implemented with computer simulation and preferable results are obtained.
机译:蚁群算法是a。新一类的人口基本算法。当飞机执行低空穿透时,通过蚁群算法实现路径规划,为路径规划提供了一种新的方法。本文对传统的蚁群算法进行了改进,并采用了保持优化,自适应选择和自适应调整的措施,从而找到了收敛速度更快的较好路径。最后通过计算机仿真实现了该算法,取得了较好的效果。

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