摘要
为了解决云制造资源优化配置过程中,制造任务和制造服务资源动态变化影响云服务优化组合和执行的问题,提出了一种面向云制造资源的优化配置方法。该方法以服务质量和服务组合柔性为指标建立组合评价体系,构建面向云资源优化配置的双层规划模型,并采用改进的多目标遗传算法对模型进行求解。最后实验证明了该模型与算法的可行性。
Aiming at the problem of dynamic change of manufacturing tasks and manufacturing service resources,which may affect composition and execution of cloud service in the process of cloud manufacturing resources allocation,this research optimized the configuration of cloud manufacturing resources.It established a combination evaluation system based on the index of Qos and composition flexibility,built a bi-level programming model for optimal allocation of cloud resources,and improved multi-objective genetic algorithm to solve the model.Finally,the feasibility of model and algorithm was proved by the experiment.
作者
殷亮
周临震
刘德仿
李春燕
YIN Liang;ZHOU Lin-zhen;LIU De-fang;LI Chun-yan(School of Mechanical Engineering,Yancheng Institute of Technology,Yancheng Jiangsu 224051,China;School of Mechanical Engineering,Jiangsu University,Zhenjiang Jiangsu 212013,China)
出处
《组合机床与自动化加工技术》
北大核心
2018年第12期155-160,共6页
Modular Machine Tool & Automatic Manufacturing Technique
基金
国家自然科学基金项目(11702240)
江苏省"六大人才高峰"资助第十批项目(ZBZZ-038)
江苏省第五期"333工程"科研资助项目(BRA2017466)
江苏省产学研前瞻性联合研究项目(BY2016065-04
57)
关键词
云制造
优化配置
双层规划
多目标遗传算法
cloud manufacturing
optimal allocation
bi-level programming
multi-objective genetic algorithm
