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    Asynchronous Multi-Information Source Bayesian Optimization 

    Source: Journal of Mechanical Design:;2024:;volume( 146 ):;issue: 010:;page 101708-1
    Author(s): Khatamsaz, Danial; Arroyave, Raymundo; Allaire, Douglas L.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Resource management in engineering design seeks to optimally allocate while maximizing the performance metrics of the final design. Bayesian optimization (BO) is an efficient design framework that judiciously allocates ...
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    Variance-Based Sensitivity Analysis to Support Simulation-Based Design Under Uncertainty 

    Source: Journal of Mechanical Design:;2016:;volume( 138 ):;issue: 011:;page 111410
    Author(s): Opgenoord, Max M. J.; Allaire, Douglas L.; Willcox, Karen E.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Sensitivity analysis plays a critical role in quantifying uncertainty in the design of engineering systems. A variance-based global sensitivity analysis is often used to rank the importance of input factors, based on their ...
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    Adaptive Dimensionality Reduction for Fast Sequential Optimization With Gaussian Processes 

    Source: Journal of Mechanical Design:;2019:;volume( 141 ):;issue: 007:;page 71404
    Author(s): Ghoreishi, Seyede Fatemeh; Friedman, Samuel; Allaire, Douglas L.
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: Available computational models for many engineering design applications are both expensive and and of a black-box nature. This renders traditional optimization techniques difficult to apply, including gradient-based ...
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