沈阳大学学报（自然科学版）2025，Vol.37Issue(2)：115-122,8.
改进蜣螂算法求解风扰环境下的无人机路径规划问题
Problem Solving of UAV Path Planning with Wind Disturbance by Improved Dung Beetle Algorithm
摘要
Abstract
According to the influence of the additional mass effect of wind on the speed,heading rate and angular rate of the flight path of the unmanned aerial vehicle(UAV),the path planning of the UAV was modeled and solved,and the influence of aerodynamics on the trajectory of the UAV in the wind environment was supplemented,which made the model more realistic.In order to reasonably estimate the flight cost of UAV under the new model,the improved dung beetle algorithm was used to solve the problem.An adaptive weighting strategy was added to avoid the lack of convergence accuracy of the algorithm,and population diversity parameters were added to improve the convergence speed of flight cost calculation.The simulation results show that the performance of the improved dung beetle algorithm is improved by at least 5％ in the CEC2017 test function,and the total cost savings of the UAV in the wind disturbance environment is 7.52％ compared with the original algorithm.关键词
物流工程/蜣螂算法/风扰环境/无人机/路径规划Key words
logistics engineering/dung beetle algorithm/wind disturbance environment/UAV/path planning分类
计算机与自动化引用本文复制引用
谢谢,陈明皓..改进蜣螂算法求解风扰环境下的无人机路径规划问题[J].沈阳大学学报（自然科学版）,2025,37(2):115-122,8.基金项目
国家自然科学基金资助项目(71672117). （71672117）
