Adaptive Distributionally Robust Service Composition and Optimal Selection Problem in Cloud Manufacturing
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0194-0_32
Reference10 articles.
1. Liu YK, Wang LH, Wang XV, Xu X, Zhang L (2019) Scheduling in cloud manufacturing: state-of-the-art and research challenges. Int J Prod Res 57(15–16):4854–4879
2. Ren LF, Wang WJ, Xu H (2020) A reinforcement learning method for constraint-satisfied services composition. IEEE Trans Serv Comput 13(5):786–800
3. Wang YK, Wang SL, Yang B, Gao B, Wang SB (2020) An effective adaptive adjustment method for service composition exception handling in cloud manufacturing. J Intell Manuf 33:735–751
4. Yang B, Wang SL, Li S, Bi FY (2023) Digital thread-driven proactive and reactive service composition for cloud manufacturing. IEEE Trans Industr Inf 19(3):2952–2962
5. Yang B, Wang SL, Li S, Jin TG (2022) A robust service composition and optimal selection method for cloud manufacturing. Int J Prod Res 60(4):1134–1152
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