An active learning metamodeling approach by sequentially exploiting difference information from variable-fidelity models-Reference-Cited by-同舟云学术

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An active learning metamodeling approach by sequentially exploiting difference information from variable-fidelity models

Published:2016-08 Issue:3 Volume:30 Page:283-297
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Zhou Qi,Shao Xinyu,Jiang Ping,Gao Zhongmei,Wang Chaochao,Shu Leshi

Funder

National Natural Science Foundation of China

National Basic Research Program

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems

Reference40 articles.

1. Efficient space-filling and non-collapsing sequential design strategies for simulation-based modeling;Crombecq;Euro. J. Operat. Res.,2011

2. Optimization of laser brazing onto galvanized steel based on ensemble of metamodels;Zhou;J. Intell. Manuf.,2016

3. Cross-validation based single response adaptive design of experiments for Kriging metamodeling of deterministic computer simulations;Aute;Struct. Multidisc. Optim.,2013

4. An adaptive global variable fidelity metamodeling strategy using a support vector regression based scaling function;Zhou;Simul. Model. Pract. Theory,2015

5. A new methodology for multi-objective multidisciplinary design optimization problems based on game theory;Xiao;Expert Syst. Appl.,2015

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