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首页> 外文会议>International Conference on Electron Device and Mechanical Engineering >Global path planning of unmanned boat based on improved ant colony algorithm
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Global path planning of unmanned boat based on improved ant colony algorithm

机译：基于改进蚁群算法的无人船的全球路径规划

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摘要

When the ant colony algorithm is used to solve the global path planning of the unmanned boat, it is prone to problems such as local optimization and too slow convergence speed. This paper combines the problems encountered in the actual application of the unmanned boat and proposes an improved ant colony algorithm. Based on the traditional ant colony algorithm, the state transition rules are optimized and the pheromone volatilization coefficient is dynamically adjusted. The simulation results show that the improved ant colony algorithm compared with the traditional ant colony algorithm, the shortest path and path finding time of the USV to the destination are optimized, and the smoothness of the USV's search path is also improved.
机译：当蚁群算法用于解决无人驾驶船的全球路径规划时，它容易出现局部优化和过度慢的收敛速度。 本文结合了无人驾驶船实际应用中遇到的问题，提出了一种改进的蚁群算法。 基于传统的蚁群算法，优化了状态转换规则，动态调整了信息族挥发系数。 仿真结果表明，改进的蚁群算法与传统的蚁群算法相比，优化了USV到目的地的最短路径和路径查找时间，并且还提高了USV的搜索路径的平滑度。

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