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Zan Yang(杨赞)
Zan Yang(杨赞)
School of Mechanical Science and Engineering, Huazhong University of Science and Technology
在 hust.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
A general failure-pursuing sampling framework for surrogate-based reliability analysis
C Jiang, H Qiu, Z Yang, L Chen, L Gao, P Li
Reliability Engineering & System Safety 183, 47-59, 2019
1542019
Real-time estimation error-guided active learning Kriging method for time-dependent reliability analysis
C Jiang, H Qiu, L Gao, D Wang, Z Yang, L Chen
Applied Mathematical Modelling 77, 82-98, 2020
1252020
An active failure-pursuing Kriging modeling method for time-dependent reliability analysis
C Jiang, D Wang, H Qiu, L Gao, L Chen, Z Yang
Mechanical Systems and Signal Processing 129, 112-129, 2019
712019
Surrogate-assisted classification-collaboration differential evolution for expensive constrained optimization problems
Z Yang, H Qiu, L Gao, X Cai, C Jiang, L Chen
Information Sciences 508, 50-63, 2020
642020
A screening-based gradient-enhanced Kriging modeling method for high-dimensional problems
L Chen, H Qiu, L Gao, C Jiang, Z Yang
Applied Mathematical Modelling 69, 15-31, 2019
522019
Optimization of expensive black-box problems via Gradient-enhanced Kriging
L Chen, H Qiu, L Gao, C Jiang, Z Yang
Computer Methods in Applied Mechanics and Engineering 362, 112861, 2020
492020
EEK-SYS: system reliability analysis through estimation error-guided adaptive Kriging approximation of multiple limit state surfaces
C Jiang, H Qiu, L Gao, D Wang, Z Yang, L Chen
Reliability Engineering & System Safety 198, 106906, 2020
482020
A novel dual-stream self-attention neural network for remaining useful life estimation of mechanical systems
D Xu, H Qiu, L Gao, Z Yang, D Wang
Reliability Engineering & System Safety 222, 108444, 2022
412022
Two-layer adaptive surrogate-assisted evolutionary algorithm for high-dimensional computationally expensive problems
Z Yang, H Qiu, L Gao, C Jiang, J Zhang
Journal of Global Optimization 74, 327-359, 2019
412019
An improved two-stage framework of evidence-based design optimization
J Zhang, M Xiao, L Gao, H Qiu, Z Yang
Structural and Multidisciplinary Optimization 58, 1673-1693, 2018
412018
Surrogate-assisted MOEA/D for expensive constrained multi-objective optimization
Z Yang, H Qiu, L Gao, L Chen, J Liu
Information Sciences 639, 119016, 2023
312023
A surrogate-assisted particle swarm optimization algorithm based on efficient global optimization for expensive black-box problems
Z Yang, H Qiu, L Gao, X Cai, C Jiang, L Chen
Engineering Optimization 51 (4), 549-566, 2019
262019
Explicit topology optimization of novel polyline-based core sandwich structures using surrogate-assisted evolutionary algorithm
S Chu, Z Yang, M Xiao, H Qiu, K Gao, L Gao
Computer Methods in Applied Mechanics and Engineering 369, 113215, 2020
242020
A surrogate-assisted differential evolution for expensive constrained optimization problems involving mixed-integer variables
Y Liu, Z Yang, D Xu, H Qiu, L Gao
Information Sciences 622, 282-302, 2023
182023
A general framework of surrogate-assisted evolutionary algorithms for solving computationally expensive constrained optimization problems
Z Yang, H Qiu, L Gao, D Xu, Y Liu
Information Sciences 619, 491-508, 2023
152023
Exploiting active subspaces of hyperparameters for efficient high-dimensional Kriging modeling
L Chen, H Qiu, L Gao, Z Yang, D Xu
Mechanical Systems and Signal Processing 169, 108643, 2022
152022
Constraint boundary pursuing-based surrogate-assisted differential evolution for expensive optimization problems with mixed constraints
Z Yang, H Qiu, L Gao, L Chen, X Cai
Structural and Multidisciplinary Optimization 66 (2), 40, 2023
122023
A novel surrogate-assisted differential evolution for expensive optimization problems with both equality and inequality constraints
Z Yang, H Qiu, L Gao, C Jiang, L Chen, X Cai
2019 IEEE Congress on Evolutionary Computation (CEC), 1688-1695, 2019
122019
An efficient method for designing high-performance planetary roller screw mechanism with low contact stress
X Du, S Lu, R Tang, X Li, J Miao, L Wu, Z Yang, B Chen
Tribology International 187, 108709, 2023
102023
Incorporating gradient information into dimension perturbation mutation for high-dimensional expensive optimization
Z Yang, S Chu, J Liu, H Qiu, M Xiao, L Gao
Swarm and Evolutionary Computation 84, 101446, 2024
92024
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