フォロー
Wanxin He
タイトル
引用先
引用先
An improved maximum entropy method via fractional moments with Laplace transform for reliability analysis
G Li, W He, Y Zeng
Structural and Multidisciplinary Optimization 59, 1301-1320, 2019
652019
An adaptive polynomial chaos expansion for high-dimensional reliability analysis
W He, Y Zeng, G Li
Structural and Multidisciplinary Optimization 62, 2051-2067, 2020
462020
Opposition-based learning equilibrium optimizer with Levy flight and evolutionary population dynamics for high-dimensional global optimization problems
C Zhong, G Li, Z Meng, W He
Expert Systems with Applications 215, 119303, 2023
422023
A self-adaptive quantum equilibrium optimizer with artificial bee colony for feature selection
C Zhong, G Li, Z Meng, H Li, W He
Computers in Biology and Medicine 153, 106520, 2023
392023
A novel structural reliability analysis method via improved maximum entropy method based on nonlinear mapping and sparse grid numerical integration
W He, Y Zeng, G Li
Mechanical Systems and Signal Processing 133, 106247, 2019
392019
Maximum entropy method-based reliability analysis with correlated input variables via hybrid dimension-reduction method
W He, G Li, P Hao, Y Zeng
Journal of Mechanical Design 141 (10), 101405, 2019
262019
A novel approach for reliability analysis with correlated variables based on the concepts of entropy and polynomial chaos expansion
W He, P Hao, G Li
Mechanical Systems and Signal Processing 146, 106980, 2021
242021
A new maximum entropy method for estimation of multimodal probability density function
G Li, YX Wang, Y Zeng, WX He
Applied Mathematical Modelling 102, 137-152, 2022
222022
Multi-objective SHADE with manta ray foraging optimizer for structural design problems
C Zhong, G Li, Z Meng, H Li, W He
Applied Soft Computing 134, 110016, 2023
172023
A quantile-based SORA method using maximum entropy method with fractional moments
W He, H Yang, G Zhao, Y Zeng, G Li
Journal of Mechanical Design 143 (4), 041702, 2021
142021
New maximum entropy-based algorithm for structural design optimization
G Li, C Zhou, Y Zeng, W He, H Li, R Wang
Applied Mathematical Modelling 66, 26-40, 2019
142019
Analytical robust design optimization based on a hybrid surrogate model by combining polynomial chaos expansion and Gaussian kernel
Y Liu, G Zhao, G Li, W He, C Zhong
Structural and Multidisciplinary Optimization 65 (11), 335, 2022
112022
A novel maximum entropy method based on the B-spline theory and the low-discrepancy sequence for complex probability distribution reconstruction
W He, Y Wang, G Li, J Zhou
Reliability Engineering & System Safety 243, 109909, 2024
102024
An adaptive dimension-reduction method-based sparse polynomial chaos expansion via sparse Bayesian learning and Bayesian model averaging
W He, G Zhao, G Li, Y Liu
Structural Safety 97, 102223, 2022
102022
New bubble sampling method for reliability analysis
Z Meng, C Li, Y Pang, G Li, W He
Structural and Multidisciplinary Optimization 66 (8), 180, 2023
82023
A novel data-driven sparse polynomial chaos expansion for high-dimensional problems based on active subspace and sparse Bayesian learning
W He, G Li, C Zhong, Y Wang
Structural and Multidisciplinary Optimization 66 (1), 29, 2023
82023
An adaptive sparse polynomial dimensional decomposition based on Bayesian compressive sensing and cross-entropy
W He, G Li, Z Nie
Structural and Multidisciplinary Optimization 65 (1), 26, 2022
82022
AK-HMC-IS: A novel importance sampling method for efficient reliability analysis based on active Kriging and hybrid Monte Carlo algorithm
G Li, L Jiang, B Lu, W He
Journal of Mechanical Design 144 (11), 111705, 2022
62022
A novel polynomial dimension decomposition method based on sparse Bayesian learning and Bayesian model averaging
W He, G Li, Z Nie
Mechanical Systems and Signal Processing 169, 108613, 2022
52022
An adaptive data-driven subspace polynomial dimensional decomposition for high-dimensional uncertainty quantification based on maximum entropy method and sparse Bayesian learning
W He, G Li, Y Zeng, Y Wang, C Zhong
Structural Safety 108, 102450, 2024
32024
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