北方苍鹰算法在无人机路径规划中的应用
Application of Northern Goshawk Algorithm in UAV Path Planning
郭港 1刘汉明 1司马燊 1余聪 1胡鹏程1
作者信息
- 1. 赣南师范大学数学与计算机科学学院,江西 赣州 341000
- 折叠
摘要
北方苍鹰算法是一种优秀的新型群智能算法,其优点适合高维工程问题求解.通过搭建三维地图仿真建模,将北方苍鹰算法和粒子群算法应用于无人机路径规划进行对比.观察无人机路径规划适应度值与综合数据结果表明,北方苍鹰算法相对更适合无人机路径规划的问题.
Abstract
The northern goshawk algorithm is an excellent new swarm intelligence algorithm,and its advantages are suitable for solving high-dimensional engineering problems.The northern goshawk algorithm,particle swarm algorithm,and sine and cosine algorithm are applied to UAV path planning for comparison.The application results of UAV path planning show that the northern goshawk algorithm is relatively more suitable for the problem of UAV path planning.
关键词
北方苍鹰算法/粒子群算法/三维地图仿真建模/无人机路径规划Key words
northern goshawk optimization/particle swarm algorithm/3D map simulation modeling/UAV path planning引用本文复制引用
基金项目
江西省教育厅科学技术研究项目(GJJ2201203)
江西省教育科学规划项目(21YB169)
出版年
2024
NETL
NSTL
万方数据