Optimal structure screening for large-scale multi-state series-parallel systems based on structure ordinal optimization

References

• Bao, M., Ding, Y., Sang, M., Li, D., Shao, C. and Yan, J. (2020) Modeling and evaluating nodal resilience of multi-energy systems under windstorms. Applied Energy, 270, 115136. doi:https://doi.org/10.1016/j.apenergy.2020.115136
   Google Scholar
• Bao, M., Ding, Y., Singh, C. and Shao, C. (2019) A multi-state model for reliability assessment of integrated gas and power systems utilizing universal generating function techniques. IEEE Transactions on Smart Grid, 10(6), 6271–6283.
   Web of Science ®Google Scholar
• Contreras, J., Rivas, F., Song, J. and Guardado, J. (2018) Multi-state system reliability analysis of HVDC transmission systems using matrix-based system reliability method. International Journal of Electric Power & Energy Systems, 100, 265–278.
   Web of Science ®Google Scholar
• Devi, S. and Garg, D. (2020) Hybrid genetic and particle swarm algorithm: Redundancy allocation problem. International Journal of System of Assurance Engineering Management, 11(2), 313–319.
   Web of Science ®Google Scholar
• Ding, Y., Lin, Y., Peng, R. and Zuo, M. (2019) Approximate reliability evaluation of large-scale multi-state series-parallel system. IEEE Transactions on Reliability, 68(2), 539–553.
   Web of Science ®Google Scholar
• Ding, Y. and Lisnianski, A. (2008) Fuzzy universal generating functions for multi-state system reliability assessment. Fuzzy Sets & Systems, 159(3), 307–324.
   Web of Science ®Google Scholar
• Ding, Y., Zuo, M. and Lisnianski, A. (2010) A framework for reliability approximation of multi-state weighted k-out-of-n systems. IEEE Transactions on Reliability, 59(2), 297–308.
   Web of Science ®Google Scholar
• Du, M. and Li, Y. (2020) An investigation of new local search strategies in memetic algorithm for redundancy allocation in multi-state series-parallel systems. Reliability & Engineering System Safety, 195, 106703. doi:https://doi.org/10.1016/j.ress.2019.106703
   Google Scholar
• Ho, Y., Zhao, Q. and Jia, Q. (2006) Ordinal Optimization: Soft Optimization for Hard Problems, Springer, Berlin, Germany.
   Google Scholar
• Horng, S. and Lin, S. (2017) Embedding advanced harmony search in ordinal optimization to maximize throughput rate of flow line. Arab Journal of Science and Engineering, 43, 1015–1031.
   Web of Science ®Google Scholar
• Horng, S. and Lin, S. (2018a) Ordinal optimization based metaheuristic algorithm for optimal inventory policy of assemble-to-order systems. Applied Mathematical Modeling, 42, 43–57.
   Web of Science ®Google Scholar
• Horng, S. and Lin, S. (2018b) Embedding ordinal optimization into tree–seed algorithm for solving the probabilistic constrained simulation optimization problems. Applied Science, 8, 2153. doi:https://doi.org/10.3390/app8112153
   Google Scholar
• Hu, L., Yue, D. and Zhao, G. (2019) Reliability assessment of random uncertain multi-state systems. IEEE Access, 7, 22781–22789.
   Google Scholar
• Lau, T. and Ho, Y. (1997) Universal alignment probabilities and subset selection for ordinal optimization. Journal of Optimization Theory and Applications, Control, 93, 455–489.
   Web of Science ®Google Scholar
• Lee, W., Horng, S. and Lin, C. (2019) Application of ordinal optimization to reactive volt-ampere sources planning problems. Energies, 12, 2746–2763.
   Web of Science ®Google Scholar
• Levitin, G. (2005) Universal Generating Function and its Applications, Wiley, New York, NY.
   Google Scholar
• Li, Y. and Zio, E. (2012) A multi-state model for the reliability assessment of a distributed generation system via universal generating function. Reliability & Engineering System Safety, 106(5), 28–36.
   Google Scholar
• Lisnianski, A. and Levitin, G. (2003) Multi-state System Reliability: Assessment, Optimization and Applications, World Scientific, New York, NY.
   Google Scholar
• Liu, Y. and Huang, H. (2010) Reliability assessment for fuzzy multi-state systems. International Journal of Systems Science, 41(4), 365–379.
   Web of Science ®Google Scholar
• Liu, Y., Liu, Q., Xie, C. and Wei, F. (2019) Reliability assessment for multi-state systems with state transition dependency. Reliability Engineering & System Safety, 188, 276–288.
   Web of Science ®Google Scholar
• Radwan, T., Alrawashdeh, M. and Ghanem, S. (2019) An efficient formula for generalized multi-state k-out-of-n: G system reliability. IEEE Access, 7, 44823–44830.
   Web of Science ®Google Scholar
• Su, P., Wang, G. and Duan, F. (2020) Reliability evaluation of a k-out-of-n(G)-subsystem based multi-state system with common bus performance sharing. Reliabilty Engineering System Safety, 198, 106884. doi:https://doi.org/10.1016/j.ress.2020.106884.
   Google Scholar
• Tian, M., Feng, T. and Dong, B. (2020) Ordinal optimization-based performance model estimation method for HDFS. IEEE Access, 8, 889–899.
   Web of Science ®Google Scholar
• Vaez, S., Mehanpour, H. and Fathali, M. (2020) Reliability assessment of truss structures with natural frequency constraints using metaheuristic algorithms, Journal of Building Engineering, 28, 101065. doi:https://doi.org/10.1016/j.jobe.2019.101065.
   Google Scholar
• Wang, W., Lin, M., Fu, Y. and Luo, X. (2020) Multi-objective optimization of reliability-redundancy allocation problem for multi-type production systems considering redundancy strategies. Reliabilty Engineering & System Safety, 193, 106681. doi:https://doi.org/10.1016/j.ress.2019.106681.
   Google Scholar
• Yeh, C., Fiondella, L. and Chang, P. (2018) Cost-oriented component redundancy allocation for a communication system subject to correlated failures and a transmission reliability threshold. Proceedings IMechE, Part O: Journal of Risk and Reliability, 232(2), 248–261.
   Google Scholar
• Zhu, S., Keshtegar, B., Chakraborty, S. and Thoi, N. (2020) Novel probabilistic model for searching most probable point in structural reliability analysis. Computer Methods in Applied Mechanical Engineering, 366, 113027. doi:https://doi.org/10.1016/j.cma.2020.113027.
   Google Scholar