Supervised Reconstruction for High-Dimensional Expensive Multiobjective Optimization-Reference-Cited by-同舟云学术

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Supervised Reconstruction for High-Dimensional Expensive Multiobjective Optimization

Published:2024-04 Issue:2 Volume:8 Page:1814-1827
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Li Hongbin¹^ORCID,Lin Jianqing²^ORCID,Chen Qing¹^ORCID,He Cheng¹^ORCID,Pan Linqiang²^ORCID

Affiliation:

1. School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China

2. Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China, School of Artificial Intelligence Automation, Huazhong University of Science and Technology, Wuhan, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7433297/10480102/10428945.pdf?arnumber=10428945

Reference63 articles.

1. NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search

2. On design optimization for structural crashworthiness and its state of the art

3. Flow field prediction of supercritical airfoils via variational autoencoder based deep learning framework

4. Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection

5. Parameterization of criss-cross configurations for multiobjective crashworthiness optimization

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