Sequential most probable point update combining Gaussian process and comprehensive learning PSO for structural reliability-based design optimization
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DOI: 10.1016/j.ress.2023.109164
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- Hong, Fangqi & Wei, Pengfei & Fu, Jiangfeng & Beer, Michael, 2024. "A sequential sampling-based Bayesian numerical method for reliability-based design optimization," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
- Zheng, Xiaohu & Yao, Wen & Zhang, Xiaoya & Qian, Weiqi & Zhang, Hairui, 2023. "Parameterized coefficient fine-tuning-based polynomial chaos expansion method for sphere-biconic reentry vehicle reliability analysis and design," Reliability Engineering and System Safety, Elsevier, vol. 240(C).
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- Song, Jingwen & Cui, Yifan & Wei, Pengfei & Valdebenito, Marcos A. & Zhang, Weihong, 2024. "Constrained Bayesian optimization algorithms for estimating design points in structural reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
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Keywords
Reliability-based design optimization; Most probable point; Gaussian process regression; Comprehensive learning particle swarm optimization; Expected feasibility function; Inverse MCS constraint boundary;All these keywords.
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