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

    Source: Journal of Mechanical Design:;2024:;volume( 146 ):;issue: 007:;page 71702-1
    Author(s): Lin, Quan; Hu, Jiexiang; Zhou, Qi; Shu, Leshi; Zhang, Anfu
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: 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 ...
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    A Sequential Sampling Approach for Multi-Fidelity Surrogate Modeling-Based Robust Design Optimization 

    Source: Journal of Mechanical Design:;2022:;volume( 144 ):;issue: 011:;page 111703
    Author(s): Lin, Quan;Zhou, Qi;Hu, Jiexiang;Cheng, Yuansheng;Hu, Zhen
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Multi-fidelity surrogate modeling has been extensively used in engineering design to achieve a balance between computational efficiency and prediction accuracy. Sequential sampling strategies have been investigated to ...
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    Model Validation Methods for Multiple Correlated Responses via Covariance-Overlap Based Distance 

    Source: Journal of Mechanical Design:;2020:;volume( 142 ):;issue: 004:;page 041401-1
    Author(s): Hu, Jiexiang; Jiang, Ping; Zhou, Qi; McKeand, Austin; Choi, Seung-Kyum
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Model validation methods have been widely used in engineering design to provide a quantified assessment of the agreement between simulation predictions and experimental observations. For the validation of simulation models ...
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