Optimizing services composition in cloud manufacturing based on improved ant colony algorithm

被引：0

作者：

Ma W. ^{[1
,2
]}

Wang Z. ^{[2
]}

Zhao Y. ^{[2
]}

机构：

[1] School of Information Engineering, Quzhou College of Technology, Quzhou

[2] School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou

来源：

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2016年 / 22卷 / 01期

关键词：

Ant colony algorithm; Manufacturing cloud; Optimization; Quality of service; Service composition;

D O I：

10.13196/j.cims.2016.01.011

中图分类号：

学科分类号：

摘要：

To solve the problem of dynamic service composition in cloud manufacturing environment, a service composition method in cloud manufacturing based on improved ant colony algorithm was presented. A sub-task evaluation model was established to calculate QoS value by analyzing the composition process of manufacturing cloud service. The value was taken as the pheromone and the transfer cost between services as the heuristic function parameter to improve ant colony algorithm with optimal path list and roulette wheel selection mechanism, and a global optimal combination was solved. The global optimal QoS comprehensive information was calculate by combination QoS model. The experiment results showed that the method could solve the problem of service composition in cloud manufacturing effectively and achieve the global optimal solution quickly. © 2016, CIMS. All right reserved.

引用

页码：113 / 121

页数：8

共 16 条

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