An improved NSGA2 to solve a bi-objective optimization problem of multi-state electronic transaction network
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DOI: 10.1016/j.ress.2019.106578
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- Huang, Ding-Hsiang & Huang, Cheng-Fu & Lin, Yi-Kuei, 2020. "A novel minimal cut-based algorithm to find all minimal capacity vectors for multi-state flow networks," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1107-1114.
- Ding-Hsiang Huang & Cheng-Fu Huang & Yi-Kuei Lin, 2019. "Reliability Evaluation for a Stochastic Flow Network Based on Upper and Lower Boundary Vectors," Mathematics, MDPI, vol. 7(11), pages 1-12, November.
- Chang, Ping-Chen & Huang, Ding-Hsiang & Lin, Yi-Kuei & Nguyen, Thi-Phuong, 2021. "Reliability and maintenance models for a time-related multi-state flow network via d-MC approach," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
- 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).
- Sharifi, Mani & Taghipour, Sharareh, 2024. "Redundancy allocation problem with a mix of components for a multi-state system and continuous performance level components," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
- Yeh, Cheng-Ta, 2020. "A hybrid approach to solve a bi-objective optimization problem of a capacitated-flow network with a time factor," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
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More about this item
Keywords
Multi-state electronic transaction network; Binary physical line allocation; Correlated failure; Allocation cost; Transmission reliability; Improved fast non-dominated sorting genetic algorithm (iNSGA2); Technique for order preference by similarity to an ideal solution (TOPSIS);All these keywords.
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