A Novel Variable-Fidelity Kriging Surrogate Model Based on Global Optimization for Black-Box Problems

Variable-fidelity (VF) surrogate models have received increasing attention in engineering design optimization as they can approximate expensive high-fidelity (HF) simulations with reduced computational power. A key challenge ... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computer Modeling in Engineering & Sciences
Published
2025-01-01
DOI
https://doi.org/10.32604/cmes.2025.069515
Citations
1
Primary Topic
Metaheuristic Optimization Algorithms Research
Type
article
Field-Weighted Citation Impact
2.48

Funders

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article

A Novel Variable-Fidelity Kriging Surrogate Model Based on Global Optimization for Black-Box Problems

Yi Guan, Zhonglai Wang, Pengpeng Zhi
1 citations
Computer Modeling in Engineering & Sciences
Metaheuristic Optimization Algorithms Research
2.48
article

A Novel Variable-Fidelity Kriging Surrogate Model Based on Global Optimization for Black-Box Problems

Yi Guan, Zhonglai Wang, Pengpeng Zhi
article en
1 citations

Abstract

Variable-fidelity (VF) surrogate models have received increasing attention in engineering design optimization as they can approximate expensive high-fidelity (HF) simulations with reduced computational power. A key challenge ... | Find, read and cite all the research you need on Tech Science Press

Computer Modeling in Engineering & SciencesVol. 144(3)
National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 8%
Metaheuristic Optimization Algorithms Research
2.48
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