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    Adaptive Design of Experiments for Automotive Engine Applications Using Concurrent Bayesian Optimization 

    Source: ASME Letters in Dynamic Systems and Control:;2022:;volume( 002 ):;issue: 003:;page 31005
    Author(s): Zhu, Ling;Wang, Yan;Pal, Anuj;Zhu, Guoming G.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Most practical automotive problems require the design of experiments (DoEs) over a number of different operating conditions to deliver optimal calibration parameters. DoE is especially crucial for automotive engine calibration ...
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    Multi-Objective Surrogate-Assisted Stochastic Optimization for Engine Calibration 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2021:;volume( 143 ):;issue: 010:;page 0101004-1
    Author(s): Pal, Anuj; Wang, Yan; Zhu, Ling; Zhu, Guoming G.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A surrogate-assisted optimization approach is an attractive way to reduce the total computational budget for obtaining optimal solutions. This makes it special for its application to practical optimization problems requiring ...
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