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RISsMF-BO-2CoGP: A Sequential Multi-Fidelity Constrained Bayesian Optimization Framework for Design Applications
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Bayesian optimization (BO) is an efiective surrogate-based method that has been widely used to optimize simulation-based applications. While the traditional Bayesian optimization approach only applies to single-fidelity ...
Erratum: “sMF-BO-2CoGP: A Sequential Multi-Fidelity Constrained Bayesian Optimization Framework for Design Applications” [ASME J. Comput. Inf. Sci. Eng., 20(3), p. 0031007; DOI: 10.1115/1.4046691]
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This article was intended to be published as part of the October 2020 Special Issue on Highlights of 2020 CIE Conference.
Optimal Experimental Design Using a Consistent Bayesian Approach
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: We consider the utilization of a computational model to guide the optimal acquisition of experimental data to inform the stochastic description of model input parameters. Our formulation is based on the recently developed ...