Optimal selection of cloud manufacturing resources based on bacteria foraging optimization-Reference-Cited by-同舟云学术

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Optimal selection of cloud manufacturing resources based on bacteria foraging optimization

Published:2023-06-26 Issue:1-2 Volume:37 Page:165-182
ISSN:0951-192X
Container-title:International Journal of Computer Integrated Manufacturing
language:en
Short-container-title:International Journal of Computer Integrated Manufacturing

Author:

Hu Yanjuan¹,Pan Leiting¹,Lv Wenjun¹,Wang Zhanli¹

Affiliation:

1. School of Mechatronic Engineering, Changchun University of Technology, Changchun, China

Funder

Department of science and technology of Jilin Province

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/0951192X.2023.2228253

Reference32 articles.

1. A novel model for optimisation of logistics and manufacturing operation service composition in Cloud manufacturing system focusing on cloud-entropy

2. Performance computation methods for composition of tasks with multiple patterns in cloud manufacturing

3. A classification-based approach for integrated service matching and composition in cloud manufacturing

4. Using machine learning for service candidate sets retrieval in service composition of cloud-based manufacturing

5. Multitask Oriented Virtual Resource Integration and Optimal Scheduling in Cloud Manufacturing

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A DNA-Like blockchain model: implementing decentralized management, dynamic scheme adjustment, and data security for optimal service composition;International Journal of Computer Integrated Manufacturing;2024-07-29

2. Cloud Manufacturing Service Composition Optimization Based on Improved Chaos Sparrow Search Algorithm with Time-Varying Reliability and Credibility Evaluation;Symmetry;2024-06-19

3. Machining scheme selection technique for feature group based on re-optimized bacterial foraging algorithm;Journal of Industrial and Production Engineering;2024-06-04

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