安徽大学学报（自然科学版）2026，Vol.50Issue(1)：65-75,11.DOI:10.3969/j.issn.1000-2162.2026.01.009
基于多策略改进蜣螂优化算法的无人机3维路径规划
UAV 3D path planning based on multi-strategy improved dung beetle optimizer
摘要
Abstract
The efficiency of unmanned aerial vehicle(UAV)largely depends on their path planning capabilities in complex three-dimensional environments.Addressing the issues of the dung beetle optimizer(DBO),such as the tendency to fall into local optima and poor path planning quality when dealing with UAV three-dimensional path planning tasks in complex environments with multiple constraints,an improved dung beetle optimizer(IDBO)is proposed.Firstly,the flight environment of the UAV is spatially modeled and an objective function is formulated.Secondly,the diversity of the algorithm is enhanced by introducing Chebyshev mapping for population initialization,and the local search capability is strengthened by employing a golden sine strategy.Additionally,a dynamic weight coefficient is added to the thievery behavior to improve adaptability in dynamic environments.Finally,the superiority of the proposed algorithm is verified through simulation experiments.Simulation results demonstrate that the IDBO performs well on multiple test functions and environments,enhancing the quality of UAV path planning in terms of seeking optimal solutions.关键词
路径规划/蜣螂优化算法/映射/黄金正弦/无人机Key words
path planning/dung beetle optimizer/mapping/golden sine/unmanned aerial vehicle分类
信息技术与安全科学引用本文复制引用
王翊,单军柯,王贵竹,许耀华,曹静,吴志阳,付星月..基于多策略改进蜣螂优化算法的无人机3维路径规划[J].安徽大学学报（自然科学版）,2026,50(1):65-75,11.基金项目
安徽省高校协同创新项目(GXXT-2023-015) （GXXT-2023-015）
