计算机与数字工程2024，Vol.52Issue(10)：2890-2896,7.DOI:10.3969/j.issn.1672-9722.2024.10.007
一种基于改进人工蜂群算法的无人机航迹规划方法
An UAV Path Planning Method Based on Improved Artificial Bee Colony Algorithm
周枫 1王卫东1
作者信息
- 1. 江苏科技大学计算机学院 镇江 212100
- 折叠
摘要
Abstract
To find the optimal path of UAV in multi obstacle environment efficiently and accurately,an improved artificial bee colony algorithm(GWOABC)is proposed.Firstly,a mathematical model is constructed according to the UAV path planning environ-ment for simulation.Secondly,in order to improve traditional artificial bee colony algorithm's search rules and honey source selec-tion method,GWOABC algorithm introduces the idea of Gray Wolf algorithm,a new dynamic evaluation rule and cauchy mutation strategy.Finally,in order to verify the effectiveness of GWOABC algorithm,20 comparative experiments are carried out.The experi-mental results show GWOABC algorithm's convergence speed,convergence accuracy and robustness are better than those of the comparison algorithm,and the path planned by GWOABC algorithm is better and safer.关键词
无人机/灰狼算法/人工蜂群算法/柯西变异/航迹规划Key words
UAV/gray wolf algorithm/artificial bee colony algorithm/Cauchy mutation/path planning分类
信息技术与安全科学引用本文复制引用
周枫,王卫东..一种基于改进人工蜂群算法的无人机航迹规划方法[J].计算机与数字工程,2024,52(10):2890-2896,7.
