Active learning-assisted multi-fidelity surrogate modeling based on geometric transformation-Reference-Cited by-同舟云学术

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Active learning-assisted multi-fidelity surrogate modeling based on geometric transformation

Published:2024-06 Issue: Volume:426 Page:116990
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Hai Chunlong^ORCID,Qian Weiqi,Wang Wenzheng,Mei Liquan^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference44 articles.

1. Multi-fidelity modeling in sequential design for stability identification in dynamic time-delay systems;Che;Chaos,2019

2. Improving variable-fidelity modelling by exploring global design space and radial basis function networks for aerofoil design;Tyan;Eng. Optim.,2015

3. Multi-fidelity co-kriging surrogate model for ship hull form optimization;Liu;Ocean Eng.,2022

4. Recent advances in surrogate-based optimization;Forrester;Prog. Aerosp. Sci.,2009

5. Surrogate-based analysis and optimization;Queipo;Prog. Aerosp. Sci.,2005

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