基于改进飞蛾扑火算法的集成调度仿真  

Integrated Scheduling Simulation Based on Improved Moth Flame Optimizer

作　　者：张天瑞[1] 牛慧媛 谢薇 Zhang Tianrui;Niu Huiyuan;Xie Wei(School of Mechanical Engineering,Shenyang University,Shenyang 110044,China)

机构地区：[1]沈阳大学机械工程学院,辽宁沈阳110044

出　　处：《系统仿真学报》2023年第10期2170-2181,共12页Journal of System Simulation

基　　金：国家自然科学基金面上项目(52075088);辽宁省研究生教育教学改革研究资助项目(LNYJG2022490)。

摘　　要：针对制造型企业成本上升等问题,建立生产与运输集成调度的数学规划模型,提出一种双自适应权重飞蛾扑火算法(double adaptive weights for moth flame optimizer,DAWMFO)进行求解。提出了一种双自适应权重机制;使用螺旋函数更新种群,提高了算法的收敛速度和精度。采用改进算法对基准函数进行了测试,结果表明:DAWMFO不仅能够快速收敛且不易陷入局部最优,寻优能力较其他算法也有所提升。通过对生产与运输集成调度的数据集做仿真实验,验证了改进算法在求解此类问题时可行高效。Aiming at the rising cost of manufacturing enterprises,a mathematical programming model of integrated scheduling of production and transportation is established,and a double adaptive weights for moth flame optimizer(DAWMFO)is proposed.A double adaptive weight mechanism is proposed.The spiral function is used to update the population,which improves the convergence speed and accuracy of the algorithm.The benchmark function is tested by the improved algorithm.The results show that the improved algorithm can converge quickly and not easily fall into local optimum.Compared with other algorithms,the optimization ability is also improved.Through the simulation experiment on the data set of integrated production and transportation scheduling,it is verified that the improved algorithm is feasible and efficient in solving such problems.

关 键 词：作业车间调度 螺旋函数 双自适应权重飞蛾扑火算法 生产和运输 集成调度 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]