文档介绍：: .
计算机集成制时提出了改进人工蜂群算法以实现大规模问题的求解。该算法采取操作排序向量
和装配模式向量双层编码方式，并采取有效的解码获得可行的调度方案。同时该算法采取改进的观
察蜂阶段以保留较优的种群，采取改进的侦察蜂阶段以提升新解的性能，同时采取局部搜索阶段以
提高算法的局部搜索能力。为了测试改进算法的性能，该算法与原始人工蜂群算法、延迟接受爬山
算法、模拟退火算法、遗传算法、离散粒子群算法和候鸟迁徙算法进行对比，测试结果表明改进人
工蜂群算法优于对比的算法，可实现人机协作装配线平衡问题的高效求解。
关键词：装配线平衡；人机协作；人工蜂群算法；智能优化算法
中图分类号：TH186 文献标识码：A
Balancing man-robot cooperative assembly line utilizing enhanced
artificial bee colony algorithm
ZHENG Chenyu1,2, LI Zixiang1,2+, TANG Qiuhua1,3, ZHANG Zikai1,3,ZHANG Liping1,3
( Laboratory of Metallurgical Equipment and Control Technology, the Ministry of
Education,Wuhan University of Science and Technology, Wuhan 430081，China;
Key Laboratory of Mechanical Transmission and Manufacturing Engineering,
Wuhan University of Science and Technology, Wuhan 430081,China;
Manufacturing Institute, Wuhan University of Science and Technology, Wuhan
430081,China)
Abstract: As employee cost rises, collaborative robots are increasingly utilized in assembly lines to
either work alone or assist employees to complete the assembly tasks. This study establishes a mixed
integer programming model to optimize the cycle time for the man-robot cooperative assembly line
收稿日期：2022-03-31;修订日期：2022-05-12。Received 31 Mar. 2022;accepted 12 May 2022.
基金项目：国家自然科学基金资助项目(62173260,61803287)。Foundation items: Project supported by the National
Natural Science Foundation, China (No. 6