无线电工程2024，Vol.54Issue(10)：2412-2424,13.DOI:10.3969/j.issn.1003-3106.2024.10.016
基于改进蜣螂算法的无人机航迹规划
Unmanned Aerial Vehicle Flight Path Planning Based on Improved Dung Beetle Algorithm
摘要
Abstract
A Piecewise Levy Flight Dung Beetle Optimizer(PLDBO)is proposed to solve the problems of UAV flight path planning,which requires a lot of computation and is difficult to converge.Firstly,a 3D mission space model and the UAV path planning cost function are established,and the path planning problem is transformed into a multidimensional function optimization problem.Secondly,the Piecewise chaotic mapping is invoked on Dung Beetle Optimizer(DBO)algorithm to change its initialization process,enhance the diversity of the population,and accelerate the convergence speed.Then,the golden sine is introduced to improve the position update formula of dung beetle,which effectively coordinates the global search ability and local mining ability,and speeds up the convergence.Levy strategy is introduced into the thieving dung beetle position update formula to enhance the ability of the algorithm to jump out of the local optima.Then a horizontal crossover with adaptive strategy is introduced to improve the convergence accuracy of the algorithm and enhance the global optimization ability.Finally,the advantages of PLDBO are fully verified by comparison on 15 well-known classical benchmark functions,and the proposed algorithm is applied to the path planning problem.The simulation results show that PLDBO can obtain more feasible and efficient paths.关键词
蜣螂优化算法/混沌映射/黄金正弦/Levy飞行/水平交叉策略/航迹规划Key words
DBO algorithm/chaotic mapping/golden sine/Levy flight/horizontal crossover strategy/flight path planning分类
信息技术与安全科学引用本文复制引用
甄然,袁明明,武晓晶,孟凡华..基于改进蜣螂算法的无人机航迹规划[J].无线电工程,2024,54(10):2412-2424,13.基金项目
国家自然科学基金(62003129)National Natural Science Foundation of China(62003129) （62003129）
