Enhanced variable-fidelity surrogate-based optimization framework by Gaussian process regression and fuzzy clustering

Research article (Computer Methods in Applied Mechanics and Engineering, 2020) · cited 36× · AI/ML
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Enhanced variable-fidelity surrogate-based optimization framework by Gaussian process regression and fuzzy clustering

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Enhanced variable-fidelity surrogate-based optimization framework by Gaussian process regression and fuzzy clustering is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Enhanced variable-fidelity surrogate-based optimization framework by Gaussian process regression and fuzzy clustering. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhanced-variable-fidelity-surrogate-based-optimization-framework-by-gaussian-process-regression-and-fuzzy-clustering
MLA “Enhanced variable-fidelity surrogate-based optimization framework by Gaussian process regression and fuzzy clustering.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhanced-variable-fidelity-surrogate-based-optimization-framework-by-gaussian-process-regression-and-fuzzy-clustering.
BibTeX @misc{4ortxyz_enhanced-variable-fidelity-surrogate-based-optimization-framework-by-gaussian-process-regression-and-fuzzy-clustering_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhanced variable-fidelity surrogate-based optimization framework by Gaussian process regression and fuzzy clustering}}, year = {2026}, url = {https://4ort.xyz/entity/enhanced-variable-fidelity-surrogate-based-optimization-framework-by-gaussian-process-regression-and-fuzzy-clustering}, note = {Accessed: 2026-05-24}}
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