基于NSGA-Ⅲ算法的云制造服务组合优选方法  

NSGA-Ⅲbased service composition optimization method in cloud manufacturing

作　　者：尹超[1] 许加晟 李孝斌[1] YIN Chao;XU Jiasheng;LI Xiaobin(State Key Laboratory of Mechanical Transmission,Chongqing University,Chongqing 400044,China)

机构地区：[1]重庆大学机械传动国家重点实验室,重庆400044

出　　处：《计算机集成制造系统》2022年第4期1164-1176,共13页Computer Integrated Manufacturing Systems

基　　金：国家重点研发计划资助项目(2019YFB1705903);国家自然科学基金资助项目(52075060,51875065,51705049);重庆市自然科学基金资助项目(cstc2018jcyjAX0237);中国博士后科学基金资助项目(2020M683238,2020T130756).

摘　　要：为解决传统云制造环境下云制造服务在优选组合过程中存在历史评价动态变化、组合优选结果客观性较差、无法充分反映单个评价指标所具有的突出影响等问题,提出一种基于NSGA-Ⅲ算法的云制造服务组合优选方法。建立了包括非功能属性与历史评价属性的云制造服务评价指标体系;以总时间、总费用、历史服务质量、历史服务满意度、历史服务可靠度为优化目标,构建了云制造服务多目标优选组合模型。运用NSGA-Ⅲ算法对上述模型进行求解,并在云制造服务平台中验证了所提模型的可行性和算法的有效性。In the traditional cloud manufacturing environment,the optimization and combination process of cloud manufacturing services often has problems,such as dynamic changes in historical evaluation,poor objectivity of the combination optimization results,and inability to fully reflect the outstanding impact of a single evaluation index.To solve the problem,a NSGA-Ⅲbased combination optimization method of cloud manufacturing services was proposed.The evaluation index system of cloud manufacturing services including non-functional attributes and historical evaluation attributes was established.Taking the total time,total cost,historical service quality,historical service satisfaction and historical service reliability as the optimization objectives,a multi-objective optimization combination model of cloud manufacturing services was constructed.NSGA-Ⅲalgorithm was used to solve the mentioned model,and the feasibility of the proposed model and the effectiveness of the algorithm were verified in the cloud manufacturing service platform.

关 键 词：云制造 云制造服务 服务组合 NSGA-Ⅲ算法 

分 类 号：TH166[机械工程—机械制造及自动化] TP391[自动化与计算机技术—计算机应用技术]