基于改进蜣螂算法的无人机航迹规划OA
Unmanned Aerial Vehicle Flight Path Planning Based on Improved Dung Beetle Algorithm
针对无人机航迹规划求解计算量大、收敛难等问题,提出了一种融入了混沌映射和莱维飞行的多策略蜣螂优化(Piecewise Levy Flight Dung Beetle Optimizer,PLDBO)算法的航迹规划方法.建立了三维任务空间模型和无人机路径规划成本函数,将路径规划问题转化为多维函数优化问题.对蜣螂优化(Dung Beetle Optimizer,DBO)算法调用Piecewise混沌映射,改变其初始化过程,增强种群的多样性,加快收敛速…查看全部>>
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 cha…查看全部>>
甄然;袁明明;武晓晶;孟凡华
河北科技大学 电气工程学院,河北石家庄 050018河北科技大学 电气工程学院,河北石家庄 050018河北科技大学 电气工程学院,河北石家庄 050018河北科技大学 电气工程学院,河北石家庄 050018
计算机与自动化
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
DBO algorithmchaotic mappinggolden sineLevy flighthorizontal crossover strategyflight path planning
《无线电工程》 2024 (10)
2412-2424,13
国家自然科学基金(62003129)National Natural Science Foundation of China(62003129)
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