An improved bounding algorithm for approximating multistate network reliability based on state-space decomposition method

Citations

Cited by:

1. Liu, Tao & Bai, Guanghan & Tao, Junyong & Zhang, Yun-An & Fang, Yining, 2024. "A Multistate Network Approach for Resilience Analysis of UAV Swarm considering Information Exchange Capacity," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
2. Chang, Ping-Chen, 2022. "MC-based simulation approach for two-terminal multi-state network reliability evaluation without knowing d-MCs," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
3. Li, Shunlong & Wang, Jie & He, Shaoyang, 2023. "Connectivity probability evaluation of a large-scale highway bridge network using network decomposition," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
4. Ding-Hsiang Huang & Cheng-Fu Huang & Yi-Kuei Lin, 2024. "A reliability prediction model for a multistate cloud/edge-based network based on a deep neural network," Annals of Operations Research, Springer, vol. 340(1), pages 271-287, September.
5. Niu, Yi-Feng & Zhao, Xia & Xu, Xiu-Zhen & Zhang, Shi-Yun, 2023. "Reliability assessment of a stochastic-flow distribution network with carbon emission constraint," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
6. Xu, Bei & Liu, Tao & Bai, Guanghan & Tao, Junyong & Zhang, Yun-an & Fang, Yining, 2022. "A multistate network approach for reliability evaluation of unmanned swarms by considering information exchange capacity," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
7. Huang, Cheng-Fu & Huang, Ding-Hsiang & Lin, Yi-Kuei, 2022. "Network reliability evaluation for multi-state computing networks considering demand as the non-integer type," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
8. Wang, Jie & Zhang, Yangyi & Li, Shunlong & Xu, Wencheng & Jin, Yao, 2024. "Directed network-based connectivity probability evaluation for urban bridges," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
9. Chang, Ping-Chen, 2024. "A path-based simulation approach for multistate flow network reliability estimation without using boundary points," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
10. Kozyra, Paweł Marcin, 2024. "A parallel algorithm for reliability assessment of multi-state flow networks based on simultaneous finding of all multi-state minimal paths and performing state space decomposition," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
11. Liu, Tao & Bai, Guanghan & Tao, Junyong & Zhang, Yun-An & Fang, Yining & Xu, Bei, 2022. "Modeling and evaluation method for resilience analysis of multi-state networks," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
12. Niu, Yi-Feng & Zhou, Run-Hui & Xu, Xiu-Zhen & Xiang, Hai-Yan, 2024. "A reliability index to measure multi-state flow network considering capacity restoration level and maintenance cost," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
13. Zhou, Yifan & Liu, Libo & Li, Hao, 2022. "Reliability estimation and optimisation of multistate flow networks using a conditional Monte Carlo method," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
14. Kozyra, Paweł Marcin, 2023. "The usefulness of (d,b)-MCs and (d,b)-MPs in network reliability evaluation under delivery or maintenance cost constraints," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
15. Niu, Yi-Feng & Xiang, Hai-Yan & Xu, Xiu-Zhen, 2024. "Expected performance evaluation and optimization of a multi-distribution multi-state logistics network based on network reliability," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
16. Niu, Yi-Feng & Song, Yi-Fan & Xu, Xiu-Zhen & Zhao, Xia, 2022. "Efficient reliability computation of a multi-state flow network with cost constraint," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
17. Lin, Shuai & Jia, Limin & Zhang, Hengrun & Zhang, Pengzhu, 2022. "Reliability of high-speed electric multiple units in terms of the expanded multi-state flow network," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
18. Huang, Ding-Hsiang, 2023. "A network reliability algorithm for a stochastic flow network with non-conservation flow," Reliability Engineering and System Safety, Elsevier, vol. 240(C).
19. Huang, Ding-Hsiang, 2024. "Network reliability of a stochastic flow network by wrapping linear programming models into a Monte-Carlo simulation," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
20. Forghani-elahabad, Majid & Yeh, Wei-Chang, 2022. "An improved algorithm for reliability evaluation of flow networks," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
21. Shi, Yan & Behrensdorf, Jasper & Zhou, Jiayan & Hu, Yue & Broggi, Matteo & Beer, Michael, 2024. "Network reliability analysis through survival signature and machine learning techniques," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
22. Niu, Yi-Feng & Wang, Jun-Feng & Xu, Xiu-Zhen & Xu, Qian-Xin, 2025. "Reliability evaluation for a multi-commodity multi-state distribution network under transportation emission consideration," Reliability Engineering and System Safety, Elsevier, vol. 254(PA).
23. Xu, Xiu-Zhen & Niu, Yi-Feng & Song, Yi-Fan, 2021. "Computing the reliability of a stochastic distribution network subject to budget constraint," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
24. Huang, Ding-Hsiang, 2024. "An algorithm to generate all d-lower boundary points for a stochastic flow network using dynamic flow constraints," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
25. Yi-Feng Niu & Meng-Meng Yuan & Xiu-Zhen Xu, 2025. "Optimal carrier selection to improve logistics network reliability with delivery spoilage," Annals of Operations Research, Springer, vol. 346(3), pages 2195-2223, March.
26. Cui, Hongjun & Wang, Fei & Ma, Xinwei & Zhu, Minqing, 2022. "A novel fixed-node unconnected subgraph method for calculating the reliability of binary-state networks," Reliability Engineering and System Safety, Elsevier, vol. 226(C).