无线电工程2024，Vol.54Issue(4)：928-936,9.DOI:10.3969/j.issn.1003-3106.2024.04.016
基于自适应蜣螂算法的无人机三维路径规划方法
UAV 3D Path Planning Method Based on Adaptive Dung Beetle Algorithm
远翔宇 1杨风暴 1杨童瑶1
作者信息
- 1. 中北大学信息与通信工程学院,山西太原 030051
- 折叠
摘要
Abstract
Due to the environmental characteristics of steep terrain and large gullies in mountainous areas,the UAV path planning in mountainous areas based on heuristic algorithm has slow speed and poor quality.To solve this problem,a path planning method of dung beetle algorithm based on adaptive action strategy is proposed.Firstly,the objective function of path planning is constructed with path length,flight safety and path smoothness.Then,the population similarity action mutation strategy and opposition-based learning strategy are introduced into the dung beetle algorithm to balance the local optimization and global optimization ability.Finally,by comparing the performance of sparrow algorithm,dung beetle algorithm and grey wolf algorithm on 12 benchmark functions,the results show that the proposed method has faster convergence speed and is not easy to fall into local optimum.The simulation experiment of path planning in mountainous area shows that the path planning quality of the proposed method is 37.66％higher than that of the dung beetle algorithm.关键词
路径规划/蜣螂算法/反向学习/自适应动作策略Key words
path planning/dung beetle algorithm/opposition-based learning/adaptive action strategies分类
信息技术与安全科学引用本文复制引用
远翔宇,杨风暴,杨童瑶..基于自适应蜣螂算法的无人机三维路径规划方法[J].无线电工程,2024,54(4):928-936,9.
