A dynamic aggregation strategy enhanced efficient global optimization algorithm for solving high-dimensional turbomachinery design problems

To address challenges effectively in turbomachinery design optimization involving high-dimensional $ (d\geq 30) $ ( d ≥ 30 ) expensive black-box problems, a dedicated Efficient Global Optimization (EGO) algorithm is proposed with dynamic aggregation. This specialized approach efficiently navigates o...

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Vydané v:	Engineering optimization Ročník 57; číslo 2; s. 514 - 542
Hlavní autori:	Wang, Qineng, Guo, Zhendong, Chen, Yun, Ma, Guangjian, Song, Liming, Li, Jun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Taylor & Francis 01.02.2025
Predmet:	High-dimensional black-box problem knowledge mining surrogate-based optimization
ISSN:	0305-215X, 1029-0273
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