软件导刊2024，Vol.23Issue(5)：60-67,8.DOI:10.11907/rjdk.241255
基于改进人工大猩猩部队算法的移动机器人路径规划研究
Path Planning for Mobile Robot Based on Improved Artificial Gorilla Troops Optimization
摘要
Abstract
Aiming at the problems of weak global optimization ability in the early stage,weak convergence ability in the later stage,and easy to fall into local optima in the path planning problem of mobile robots using traditional artificial gorilla troop optimization algorithms,an im-proved artificial gorilla troop optimization algorithm is proposed.In the improved algorithm,to improve the quality of the initial population,lo-gistic chaotic mapping is used to generate the population;Introduce new calculation formulas to improve the values of control parameters,mak-ing them linearly increase with the number of iterations;Integrating the position update strategy of the Osprey Optimization Algorithm to en-hance information exchange between individuals in the algorithm;In the later stage of algorithm development,the Levi flight strategy is ap-plied to update individual positions to ensure population diversity in the later stage of the algorithm.The simulation experiment results show that compared with SSA algorithm,GTO algorithm,and GWO algorithm,the improved algorithm reduces the average path obtained in M1 map environment by 9.72%,6.07%,and 7.99%,respectively;The average path obtained in the M2 map environment has been shortened by 22.04%,44.16%,and 50.3%,respectively,showing significant advantages.关键词
人工大猩猩部队优化算法/路径规划/Logistic混沌映射/鱼鹰优化算法/莱维飞行策略Key words
artificial gorilla troops optimizer algorithm/path planning/Logistic chaotic mapping/osprey optimization algorithm/Levy flight strategy分类
信息技术与安全科学引用本文复制引用
李春青..基于改进人工大猩猩部队算法的移动机器人路径规划研究[J].软件导刊,2024,23(5):60-67,8.基金项目
广西高校中青年教师科研基础能力提升项目(2022KY0767) （2022KY0767）
