摘要
为提高智慧赋能工厂装配线任务分配效率,提出一种基于改进蚁狮算法的多任务分配优化方法。首先根据装配线生产实际,构建任务分配的目标函数;然后采用改进的蚁狮算法对构建的任务分配目标函数进行求解。仿真结果表明,当优化的目标数量为3时,改进蚁狮算法求解得到的非劣解数目更多,世代距离更近,且算法的求解速度更快。由此得出,通过改进后的蚁狮算法可实现装配线任务的合理分配,可提高智慧工厂的自动化生产效率。
To improve the efficiency of task allocation on the assembly line of smart empowerment factories,a multi task allocation optimization method based on improved ant lion algorithm is proposed.Firstly,based on the actual production of the assembly line,an objective function for task allocation is constructed;Then,an improved ant lion algorithm is used to solve the constructed task allocation objective function.The simulation results show that when the number of optimized targets is 3,the improved ant lion algorithm obtains more non inferior solutions,has a closer generation distance,and the algorithm’s solving speed is faster.From this,it can be concluded that the improved ant lion algorithm can achieve reasonable allocation of assembly line tasks and improve the automation production efficiency of smart factories.
作者
王永兴
王彦坤
WANG Yongxing;WANG Yankun(Shenzhen Polytechnic University,Shenzhen Guangdong 518055,China)
出处
《自动化与仪器仪表》
2024年第3期167-170,共4页
Automation & Instrumentation
基金
国家自然科学基金青年基金《位置描述中空间关系增强的多源融合室内定位方法》(42001389)
广东省普通高校重点领域专项《面向服务机器人导航的语音交互式室内定位方法》(2022ZDZX3071)。
关键词
蚁狮算法
自动化生产线
任务分配
多目标优化
ant lion algorithm
automated production line
task allocation
multi-objective optimization
