Enhanced Kriging leave-one-out cross-validation in improving model estimation and optimization

Constraint boundary pursuing-based surrogate-assisted differential evolution for expensive optimization problems with mixed constraints

(2023) Zan Yang et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Efficient local adaptive Kriging approximation method with single-loop strategy for reliability-based design optimization

(2022) Meide Yang et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A novel surrogate-model based active learning method for structural reliability analysis

(2022) Linxiong Hong et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Multi-fidelity regression using artificial neural networks: Efficient approximation of parameter-dependent output quantities

(2021) Mengwu Guo et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A novel Nested Stochastic Kriging model for response noise quantification and reliability analysis

(2021) Peng Hao et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

OTL-PEM: An Optimization-Based Two-Layer Pointwise Ensemble of Surrogate Models

(2021) Yong Pang et al.   JOURNAL OF MECHANICAL DESIGN

Latin hypercube designs based on strong orthogonal arrays and Kriging modelling to improve the payload distribution of trains

(2020) Nedka Dechkova Nikiforova et al.   JOURNAL OF APPLIED STATISTICS

Spatio-temporal regression kriging model of mean daily temperature for Croatia

(2020) Aleksandar Sekulić et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Optimization of expensive black-box problems via Gradient-enhanced Kriging

(2020) Liming Chen et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Adaptive design of experiments for global Kriging metamodeling through cross-validation information

(2020) Aikaterini P. Kyprioti et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Topology optimization using material-field series expansion and Kriging-based algorithm: An effective non-gradient method

(2020) Yangjun Luo et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Surrogate modeling of high-dimensional problems via data-driven polynomial chaos expansions and sparse partial least square

(2020) Yicheng Zhou et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Using Kriging incorporated with wind direction to investigate ground-level PM2.5 concentration

(2020) Huang Zhang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Performance assessment of a cross-validation sampling strategy with active surrogate model selection

(2019) Andrea Garbo et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

An efficient Kriging-based subset simulation method for hybrid reliability analysis under random and interval variables with small failure probability

(2019) Mi Xiao et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Hydrodynamic shape optimization by high fidelity CFD solver and Gaussian process based response surface method

(2019) Antonio Coppedè et al.   APPLIED OCEAN RESEARCH

Spatio-temporal regression kriging for modelling urban NO2 concentrations

(2019) Vera van Zoest et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Kriging Modeling to Predict Viscosity Index of Base Oils

(2018) J. J. Da Costa et al.   ENERGY & FUELS

An Advanced and Robust Ensemble Surrogate Model: Extended Adaptive Hybrid Functions

(2018) Xueguan Song et al.   JOURNAL OF MECHANICAL DESIGN

Kriging methods with auxiliary nighttime lights data to detect potentially toxic metals concentrations in soil

(2018) Jinchun Zhen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Metamodel-based design optimization employing a novel sequential sampling strategy

(2017) Leshi Shu et al.   ENGINEERING COMPUTATIONS

An adaptive sampling method for variable-fidelity surrogate models using improved hierarchical kriging

(2017) Jiexiang Hu et al.   ENGINEERING OPTIMIZATION

Nested Kriging predictions for datasets with a large number of observations

(2017) Didier Rullière et al.   STATISTICS AND COMPUTING

Efficient reliability analysis of laminated composites using advanced Kriging surrogate model

(2016) Ali Haeri et al.   COMPOSITE STRUCTURES

Stream Kriging: Incremental and recursive ordinary Kriging over spatiotemporal data streams

(2016) Xu Zhong et al.   COMPUTERS & GEOSCIENCES

Meta-models in Computer Experiments: Kriging versus Artificial Neural Networks

(2016) Grazia Vicario et al.   QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL

Efficient structural reliability analysis method based on advanced Kriging model

(2015) Leigang Zhang et al.   APPLIED MATHEMATICAL MODELLING

A new surrogate modeling technique combining Kriging and polynomial chaos expansions – Application to uncertainty analysis in computational dosimetry

(2015) Pierric Kersaudy et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Using Cross-Validation to Design Trend Function in Kriging Surrogate Modeling

(2014) Haoquan Liang et al.   AIAA JOURNAL

A spatio-temporal hybrid neural network-Kriging model for groundwater level simulation

(2014) Evdokia Tapoglou et al.   JOURNAL OF HYDROLOGY

Error Metrics and the Sequential Refinement of Kriging Metamodels

(2014) David A. Romero et al.   JOURNAL OF MECHANICAL DESIGN

Using Cross Validation to Design Conservative Surrogates

(2010) Felipe A. C. Viana et al.   AIAA JOURNAL

Multiple surrogates: how cross-validation errors can help us to obtain the best predictor

(2009) Felipe A. C. Viana et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Choosing the Sample Size of a Computer Experiment: A Practical Guide

(2009) Jason L. Loeppky et al.   TECHNOMETRICS

Efficient approximate leave-one-out cross-validation for kernel logistic regression

(2008) Gavin C. Cawley et al.   MACHINE LEARNING

Comparing error estimation measures for polynomial and kriging approximation of noise-free functions

(2008) Tushar Goel et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Ensemble of metamodels with optimized weight factors

(2008) E. Acar et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION