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

DOI10.1016/j.cma.2023.116194OpenAlexW4383851885MaRDI QIDQ6171247

Shuai Zhang, Pengwei Liang, Yitang Wang, Xue Guan Song, Yong Pang, Xiaonan Lai

Publication date: 11 August 2023

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2023.116194

zbMATH Keywords

structural optimizationexpensive optimizationleave-one-out cross-validationkriging surrogate modeldecremental calculation

Mathematics Subject Classification ID

Operations research, mathematical programming (90-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)

Related Items

Optimum-pursuing method for constrained optimization and reliability-based design optimization problems using kriging model

Cites Work

• Unnamed Item
• A new surrogate modeling technique combining Kriging and polynomial chaos expansions - application to uncertainty analysis in computational dosimetry
• Efficient approximate leave-one-out cross-validation for kernel logistic regression
• Efficient global optimization of expensive black-box functions
• Nested kriging predictions for datasets with a large number of observations
• Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities
• Efficient local adaptive Kriging approximation method with single-loop strategy for reliability-based design optimization
• A novel surrogate-model based active learning method for structural reliability analysis
• Surrogate modeling of high-dimensional problems via data-driven polynomial chaos expansions and sparse partial least square
• Topology optimization using material-field series expansion and Kriging-based algorithm: an effective non-gradient method
• A novel nested stochastic Kriging model for response noise quantification and reliability analysis
• An estimation algorithm for fast Kriging surrogates of computer models with unstructured multiple outputs
• Optimization of expensive black-box problems via gradient-enhanced Kriging
• Efficient structural reliability analysis method based on advanced kriging model
• Global optimization of stochastic black-box systems via sequential kriging meta-models
• Latin hypercube designs based on strong orthogonal arrays and Kriging modelling to improve the payload distribution of trains