Related references
Note: Only part of the references are listed.A two-stage adaptive multi-fidelity surrogate model-assisted multi-objective genetic algorithm for computationally expensive problems
Qi Zhou et al.
ENGINEERING WITH COMPUTERS (2021)
A sequential constraints updating approach for Kriging surrogate model-assisted engineering optimization design problem
Jiachang Qian et al.
ENGINEERING WITH COMPUTERS (2020)
AK-ARBIS: An improved AK-MCS based on the adaptive radial-based importance sampling for small failure probability
Wanying Yun et al.
STRUCTURAL SAFETY (2020)
Structural reliability analysis based on ensemble learning of surrogate models
Kai Cheng et al.
STRUCTURAL SAFETY (2020)
A generalized hierarchical co-Kriging model for multi-fidelity data fusion
Qi Zhou et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2020)
REAK: Reliability analysis through Error rate-based Adaptive Kriging
Zeyu Wang et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)
A system reliability analysis method combining active learning Kriging model with adaptive size of candidate points
Xufeng Yang et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2019)
REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis
Xufang Zhang et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)
A radial basis function-based multi-fidelity surrogate model: exploring correlation between high-fidelity and low-fidelity models
Xueguan Song et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2019)
A coupled subset simulation and active learning kriging reliability analysis method for rare failure events
Chunyan Ling et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2019)
ESC: an efficient error-based stopping criterion for kriging-based reliability analysis methods
Zeyu Wang et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2019)
Issues in Deciding Whether to Use Multifidelity Surrogates
M. Giselle Fernandez-Godino et al.
AIAA JOURNAL (2019)
A robust optimization approach based on multi-fidelity metamodel
Qi Zhou et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2018)
Hull form design optimization of twin-skeg fishing vessel for minimum resistance based on surrogate model
Lin Yan et al.
ADVANCES IN ENGINEERING SOFTWARE (2018)
Efficient reliability analysis based on adaptive sequential sampling design and cross-validation
Ning-Cong Xiao et al.
APPLIED MATHEMATICAL MODELLING (2018)
Cope with diverse data structures in multi-fidelity modeling: A Gaussian process method
Haitao Liu et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2018)
Kriging-based multi-fidelity optimization via information fusion with uncertainty
Chengshan Li et al.
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY (2018)
Sequential optimization using multi-level cokriging and extended expected improvement criterion
Yixin Liu et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2018)
LIF: A new Kriging based learning function and its application to structural reliability analysis
Zhili Sun et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2017)
An adaptive hybrid single-loop method for reliability-based design optimization using iterative control strategy
Chen Jiang et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2017)
A hybrid relaxed first-order reliability method for efficient structural reliability analysis
Behrooz Keshtegar et al.
STRUCTURAL SAFETY (2017)
Design of computer experiments: A review
Sushant S. Garud et al.
COMPUTERS & CHEMICAL ENGINEERING (2017)
Reliability analysis of bleed air anti-icing system based on subset simulation method
Feng Zhang et al.
APPLIED THERMAL ENGINEERING (2017)
Global sensitivity analysis-enhanced surrogate (GSAS) modeling for reliability analysis
Zhen Hu et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2016)
Hybrid Framework for Reliability-Based Design Optimization of Imperfect Stiffened Shells
Peng Hao et al.
AIAA JOURNAL (2015)
Efficient structural reliability analysis method based on advanced Kriging model
Leigang Zhang et al.
APPLIED MATHEMATICAL MODELLING (2015)
A new learning function for Kriging and its applications to solve reliability problems in engineering
Zhaoyan Lv et al.
COMPUTERS & MATHEMATICS WITH APPLICATIONS (2015)
First order reliability method for time-variant problems using series expansions
Zhen Hu et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2015)
Some considerations regarding the use of multi-fidelity Kriging in the construction of surrogate models
David J. J. Toal
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2015)
Particle swarm with radial basis function surrogates for expensive black-box optimization
Rommel G. Regis
JOURNAL OF COMPUTATIONAL SCIENCE (2014)
Hierarchical Kriging Model for Variable-Fidelity Surrogate Modeling
Zhong-Hua Han et al.
AIAA JOURNAL (2012)
First Order Reliability Method With Truncated Random Variables
Xiaoping Du et al.
JOURNAL OF MECHANICAL DESIGN (2012)
AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation
B. Echard et al.
STRUCTURAL SAFETY (2011)
Kriging hyperparameter tuning strategies
David J. J. Toal et al.
AIAA JOURNAL (2008)
Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions
B. J. Bichon et al.
AIAA JOURNAL (2008)
Multi-fidelity optimization via surrogate modelling
Alexander I. J. Forrester et al.
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2007)
Application of line sampling simulation method to reliability benchmark problems
H. J. Pradlwarter et al.
STRUCTURAL SAFETY (2007)
Reliability-based design optimization for crashworthiness of vehicle side impact
BD Youn et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2004)
Improved response surface method and its application to stiffened plate reliability analysis
Y Zheng et al.
ENGINEERING STRUCTURES (2000)
Predicting the output from a complex computer code when fast approximations are available
MC Kennedy et al.
BIOMETRIKA (2000)