船舶虚拟制造中狼群优化卷积神经网络的控制应用  

Control Application of Wolf Group Optimization Convolutional Neural Network in Ship Virtual Manufacturing

作　　者：肖世龙[1] 吴迪 唐超尘 神显豪[4] 张德育[5] XIAO Shi-long;WU Di;TANG Chao-chen;SHEN Xian-hao;ZHANG De-yu(Shenyang Ligong University,Shenyang 110159,China;College of Computer Science and Technology,Harbin Engineering University,Harbin 150001,China;School of Telecommunications Engineering,Xidian University,Xi’an 710071,China;Guangxi Key Laboratory of Embedded Technology and Intelligent System,Guilin University of Technology,Guilin,Guangxi 541004,China;School of Information Science and Engineering,Shenyang Ligong University,Shenyang 110159,China)

机构地区：[1]沈阳理工大学,沈阳110159 [2]哈尔滨工程大学计算机科学与技术学院,哈尔滨150001 [3]西安电子科技大学通信工程学院,西安710071 [4]桂林理工大学广西嵌入式技术与智能系统重点实验室,广西桂林541004 [5]沈阳理工大学信息科学与工程学院,沈阳110159

出　　处：《计算机科学》2021年第10期135-139,共5页Computer Science

基　　金：国家自然科学基金项目(61741303);辽宁省自然科学基金计划重点项目(20180520038);教育部产学合作协同育人项(201802284028);广西自然科学基金项目(2018GXNSFAA294061)。

摘　　要：为了优化虚拟工业制造的控制策略,采用狼群优化的卷积神经网络算法进行虚拟工业制造控制研究。首先根据虚拟工业制造任务和资源数据,建立任务-资源列表,并结合单位矩阵对任务-资源列表进行稀疏化,形成虚拟制造单元;接着建立卷积神经网络虚拟制造控制模型,并采用狼群算法对权重和偏置进行优化;最后以所有任务的平均制造时间为目标函数,对虚拟制造单元进行训练优化。船舶主机虚拟制造实验证明,相比于常用的控制算法,通过合理设置卷积核池化尺寸的狼群优化卷积神经网络算法能够获得平均制造时间的最优解。In order to optimize the control strategy of virtual industrial manufacturing,the convolution neural network algorithm based on wolf swarm optimization is used to study the control of virtual industrial manufacturing.Firstly,according to the task and resource data of virtual industrial manufacturing,the task resource list is established,and the task resource list is sparse combined with the unit matrix to form the virtual manufacturing cell.Then,the convolution neural network virtual manufacturing control model is established,and the weight and offset are optimized by using wolf swarm algorithm.Finally,the average manufacturing time of all tasks is taken as the objective function and the manufacturing unit is trained and optimized.The virtual manu-facturing experiment of marine main engine shows that compared with the common control algorithm,the convolution neural network algorithm optimized by wolves can obtain better average manufacturing time by setting the pool size of convolution kernel reasonably.

关 键 词：虚拟工业制造 狼群算法 卷积神经网络 虚拟制造单元 平均制造时间 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]