KNN-Based Maximization of Weighted Expected Prediction Error for Adaptive Kriging Modeling

The adaptive Kriging method is widely used in the engineering design for complex black-box problems, yet its accuracy is limited by imbalanced exploitation–exploration. This paper proposes a KNN-based maximization of the weighted expected prediction error (KMWEPE) method to address this challenge. F...

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Autori principali:	Jingfang Shen, Yu Xia, Yaohui Li, Wenwei Liu, Zebin Zhang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-12-01
Serie:	Applied Sciences
Soggetti:	adaptive Kriging method <i>K</i>-nearest neighbors bias–variance decomposition local exploitation global exploration
Accesso online:	https://www.mdpi.com/2076-3417/15/24/13149
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