A Multi-Fidelity Bayesian Optimization Approach for Constrained Multi-Objective Optimization Problems

In this paper, a multi-fidelity Bayesian optimization approach is presented to tackle computationally expensive constrained multiobjective optimization problems (MOPs). The proposed approach consists of a three-stage optimization framework designed to search for promising candidate points. In the fi...

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Veröffentlicht in:	Journal of mechanical design (1990) 2024-07, Vol.146 (7)
Hauptverfasser:	Lin, Quan, Hu, Jiexiang, Zhou, Qi, Shu, Leshi, Zhang, Anfu
Format:	Artikel
Sprache:	eng
Schlagworte:	Design for Manufacturing
Online-Zugang:	Volltext
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