Recent advances and applications of surrogate models for finite element method computations: a review

J Kudela, R Matousek - Soft Computing, 2022 - Springer
The utilization of surrogate models to approximate complex systems has recently gained
increased popularity. Because of their capability to deal with black-box problems and lower …

Managing computational complexity using surrogate models: a critical review

R Alizadeh, JK Allen, F Mistree - Research in Engineering Design, 2020 - Springer
In simulation-based realization of complex systems, we are forced to address the issue of
computational complexity. One critical issue that must be addressed is the approximation of …

Design a J-type air-based battery thermal management system through surrogate-based optimization

Y Liu, J Zhang - Applied Energy, 2019 - Elsevier
Battery thermal management system is of great importance to the performance and safety of
electric vehicles. The conventional U-and Z-type air-based structures may fail to meet the …

A multi-fidelity surrogate model based on extreme support vector regression: Fusing different fidelity data for engineering design

ML Shi, L Lv, L Xu - Engineering Computations, 2023 - emerald.com
Purpose Extreme support vector regression (ESVR) has been widely used in the design,
analysis and optimization of engineering systems of its fast training speed and good …

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

Y Pang, Y Wang, X Lai, S Zhang, P Liang… - Computer Methods in …, 2023 - Elsevier
Leave-one-out cross-validation (LOOCV) is a widely used technique in model estimation
and selection of the Kriging surrogate model for engineering problems, such as structural …

Recent advances in surrogate modeling methods for uncertainty quantification and propagation

C Wang, X Qiang, M Xu, T Wu - Symmetry, 2022 - mdpi.com
Surrogate-model-assisted uncertainty treatment practices have been the subject of
increasing attention and investigations in recent decades for many symmetrical engineering …

Dynamic load prediction of tunnel boring machine (TBM) based on heterogeneous in-situ data

W Sun, M Shi, C Zhang, J Zhao, X Song - Automation in Construction, 2018 - Elsevier
Load prediction of tunnel boring machines (TBMs) is crucial for the design and safe
operation of these complex engineering systems. However, to date, studies have mostly …

[PDF][PDF] 基于代理模型的电机多学科优化关键技术综述

谢冰川, 张岳, 徐振耀, 张凤阁, 刘文慧 - 电工技术学报, 2022 - dgjsxb.ces-transaction.com
摘要随着电机应用领域的不断拓宽, 电机多学科优化技术已经成为电机优化技术的重要研究方向
. 该文概述了目前电机优化技术领域中囊括的多学科模型, 分析了代理模型的优势; …

A two-stage adaptive multi-fidelity surrogate model-assisted multi-objective genetic algorithm for computationally expensive problems

Q Zhou, J Wu, T Xue, P Jin - Engineering with computers, 2021 - Springer
Surrogate model-assisted multi-objective genetic algorithms (MOGA) show great potential in
solving engineering design problems since they can save computational cost by reducing …

Variable-fidelity probability of improvement method for efficient global optimization of expensive black-box problems

X Ruan, P Jiang, Q Zhou, J Hu, L Shu - Structural and Multidisciplinary …, 2020 - Springer
Variable-fidelity (VF) surrogate models have attracted significant attention recently in
simulation-based design because they can achieve a desirable accuracy at a reasonable …