Optimization method for cloud manufacturing service composition based on the improved artificial bee colony algorithm

被引：0

作者：

Hu Q. ^{[1
]}

Tian Y. ^{[1
]}

Qi H. ^{[1
]}

Wu P. ^{[1
]}

Liu Q. ^{[2
]}

机构：

[1] School of Information Science and Technology, Qingdao University of Science and Technology, Qingdao

[2] School of Mechanical and Electrical Engineering, Kunming University, Kunming

来源：

Tongxin Xuebao/Journal on Communications | 2023年 / 44卷 / 01期

基金：

中国国家自然科学基金;

关键词：

artificial bee colony; cloud manufacturing; process optimization; service composition;

D O I：

10.11959/j.issn.1000-436x.2023024

中图分类号：

学科分类号：

摘要：

To improve the optimization quality, efficiency and stability of cloud manufacturing service composition, a optimization method for cloud manufacturing service composition based on improved artificial bee colony algorithm was proposed. Firstly, three methods of service collaboration quality calculation under cloud manufacturing service composition scenario were put forward. Then, the optimization model with service collaboration quality was constructed. Finally, an artificial bee colony algorithm with multi-search strategy island model was designed to solve the optimal cloud manufacturing service composition. The experimental results show that the proposed algorithm is superior to the current popular improved artificial bee colony algorithms and other swarm intelligence algorithms in terms of optimization quality, efficiency and stability. © 2023 Editorial Board of Journal on Communications. All rights reserved.

引用

页码：200 / 210

页数：10

共 23 条

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