现代制造工程Issue(2)：1-11,11.DOI:10.16731/j.cnki.1671-3133.2026.02.001
基于改进麻雀搜索算法的装配线平衡问题研究
Research on assembly line balance problem based on improved sparrow search algorithm
李知非 1刘波 2黄鹤军 3娄嘉骏4
作者信息
- 1. 南昌航空大学无损检测技术教育部重点实验室,南昌 330063||宁波水表(集团)股份有限公司,宁波 315032
- 2. 南昌航空大学无损检测技术教育部重点实验室,南昌 330063
- 3. 江西中烟广丰卷烟厂,上饶 334000
- 4. 宁波水表(集团)股份有限公司,宁波 315032
- 折叠
摘要
Abstract
Aiming at the first type of assembly line balance problem and the third type of assembly line balance problem,an im-proved sparrow search algorithm is proposed.By introducing reverse learning strategy,chaotic mapping strategy and hybrid differ-ential evolution strategy,this method can effectively improve the global search ability of sparrow search algorithm and the problem of local optimal population.In addition,on the basis of solving the minimum number of stations,an optimization objective combi-ning assembly line balance rate and smoothness index is added.The results show that the assembly line balance rate is improved from 73.57％to 98.69％,which is 34.14％higher than the original design.Moreover,it is further verified that the algorithm has a better solving effect on the assembly line balance problem by comparing several different algorithms under several different cal-culation examples.关键词
装配线平衡/改进麻雀搜索算法/反向学习/混沌映射/混合差分进化Key words
assembly line balance/improved sparrow search algorithm/chaotic mapping/differential evolution/multi-objective op-timization分类
信息技术与安全科学引用本文复制引用
李知非,刘波,黄鹤军,娄嘉骏..基于改进麻雀搜索算法的装配线平衡问题研究[J].现代制造工程,2026,(2):1-11,11.
