荆楚理工学院学报2026，Vol.41Issue(4)：1-10,10.
面向移动机器人路径规划的蝴蝶优化算法研究
Research on Butterfly Optimization Algorithm for Path Planning of Mobile Robots
摘要
Abstract
Path planning is a core challenge in the field of mobile robotics,aimed at finding optimal,collision-free trajecto-ries for robots operating in complex environments.Traditional optimization algorithms often encounter issues such as local optima traps and high computational complexity.This paper proposes a mobile robot path planning method based on the Improved Butterfly Optimization Algorithm(IBOA).By incorporating chaotic mapping for population initialization,an adaptive probability switching mechanism,and a Gaussian distribution estimation strategy to modify the evolutionary direction of the butterfly population,the algo-rithm's exploration and exploitation capabilities are enhanced.Finally,through the resolution of mobile robot path planning prob-lem,the results indicate that the IBOA algorithm demonstrates exceptional performance in solving mobile robot path planning prob-lem,achieving an average path reduction of 12.5%,25.2%,and 6.9%compared with mainstream algorithms in 20×20,30×30,and 50×50 grid maps,respectively.关键词
移动机器人/路径规划/蝴蝶优化算法/高斯分布估计Key words
mobile robot/path planning/butterfly optimization algorithm/gaussian distribution estimation分类
信息技术与安全科学引用本文复制引用
朱泽奇,李远志..面向移动机器人路径规划的蝴蝶优化算法研究[J].荆楚理工学院学报,2026,41(4):1-10,10.基金项目
湖南省教育厅科学研究项目(25C0831) （25C0831）
