现代制造工程Issue(2)：37-43,150,8.DOI:10.16731/j.cnki.1671-3133.2025.02.005
基于改进白鹭群优化算法的移动机器人路径规划
Mobile robot path planning based on improved egret swarm optimization algorithm
摘要
Abstract
Addressing issues such as low planning efficiency,long search time,and complex paths in improving intelligent optimi-zation algorithms,the egret swarm optimization algorithm was first applied to mobile robot path planning,and a new method for mobile robot path planning based on the improved egret swarm optimization algorithm was proposed.In the exploration stage,the algorithm utilized adversarial learning for population initialization to reduce the cost of path search;the sine cosine algorithm and greedy strategy were used to improve the updating of individual positions of egrets,in order to balance the local development and global search capabilities of the algorithm;coordinate fine-tuning strategy was used to obtain a safe and reliable planning path.In the optimization stage,the vertical distance limit method and segmented Bessel curve were used to optimize the path,in order to obtain the final motion path of the mobile robot.The simulation results show that this algorithm significantly improves the efficien-cy of path planning compared to the comparative algorithm,with shorter overall time consumption and better paths.It can reduce the number of path turns and thereby improve the overall work efficiency of mobile robots.关键词
路径规划/路径优化/白鹭群优化算法/坐标微调策略/正余弦算法Key words
path planning/path optimization/egret swarm optimization algorithm/coordinate fine-tuning strategy/sine cosine algo-rithm分类
信息技术与安全科学引用本文复制引用
赵正君,胡立坤,蔡成杰,韦文扬..基于改进白鹭群优化算法的移动机器人路径规划[J].现代制造工程,2025,(2):37-43,150,8.基金项目
广西科技计划项目(桂科AB21220039) （桂科AB21220039）
