A two-phase method to optimize service composition in cloud manufacturing
Author:
Funder
Natural science foundation of China
Foundation of Yunnan Key Laboratory of Service Computing
Key Research Program of Shandong Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00607-024-01286-x.pdf
Reference41 articles.
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4. Yang B, Wang S, Li S et al (2022) A robust service composition and optimal selection method for cloud manufacturing. Int J Prod Res 60(4):1134–1152
5. Shi Z (2023) Cloud manufacturing service recommendation model based on GA-ACO and carbon emission hierarchy. J Intell Fuzzy Syst 44:1–11
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