蚁群BP神经网络在云制造知识服务组合优化中的应用  

Application of ant colony BP network in composition optimization of cloud manufacturing knowledge service

作　　者：蔡安江[1] 王艺 郭师虹[2] 潘伟 CAI Anjiang;WANG Yi;GUO Shihong;PAN Wei(School of Mechanical and Electrical Engineering,Xi’an University of Architecture and Technology,Xi’an 710055,China;School of Civil Engineering,Xi’an University of Architecture and Technology,Xi’an 710055,China;Dezhou Haitian Electromechanical Technology Co.,Ltd.,Dezhou 253000,China)

机构地区：[1]西安建筑科技大学机电学院,陕西西安710055 [2]西安建筑科技大学土木工程学院,陕西西安710055 [3]德州海天机电科技有限公司,山东德州253000

出　　处：《Journal of Measurement Science and Instrumentation》2023年第1期74-84,共11页测试科学与仪器（英文版）

基　　金：National Natural Science Foundation of China(No.51475352);Key Project of Basic Research Plan of Natural Science of Shaanxi Province(No.2019JZ-50)。

摘　　要：为实现针对复杂零件在云制造环境下知识资源的服务组合优化,建立了以QoS服务需求为优化目标的服务组合优化模型。首先,利用灰色关联分析对制造资源进行预处理以减小知识资源搜索范围,降低搜索成本。其次,利用改进的蚁群算法对知识资源进行全局优化分析,以提高匹配速度。最后,利用蚁群BP神经网络算法对解空间中最优解进行再次优化以提高知识服务组合的学习效率和学习精度。实验结果表明,灰色关联分析、改进的蚁群算法以及BP神经网络的使用,可缩短知识服务的搜索时间,提高匹配精确度,有效解决知识服务组合优化问题。For the purpose of service composition optimization of knowledge resources for complex parts in cloud manufacturing environment,a service composition optimization model with quality of service(QoS)as optimization objective is established.Firstly,gray relational analysis is used to preprocess manufacturing resources,reduce search range of knowledge resources and reduce search cost.Then,the improved ant colony algorithm is used to optimize the knowledge resources globally to improve matching speed.Finally,the ant colony back-propagation(BP)neural network algorithm is used to improve the learning efficiency and accuracy of knowledge service composition by optimizing the optimal solution in solution space again.The experimental results show that the usage of gray relational analysis,improved ant colony algorithm,and BP neural network can reduce the search time of knowledge service,improve the matching accuracy,and effectively solve the problem of knowledge service composition optimization.

关 键 词：柴油机 云制造 灰色关联分析 蚁群BP网络 知识服务组合优化 

分 类 号：TK421[动力工程及工程热物理—动力机械及工程] TP183[自动化与计算机技术—控制理论与控制工程]