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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.
srMO-BO-3GP: A Sequential Regularized Multi-Objective Bayesian Optimization for Constrained Design Applications Using an Uncertain Pareto Classifier
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Bayesian optimization (BO) is an efficient and flexible global optimization framework that is applicable to a very wide range of engineering applications. To leverage the capability of the classical BO, many extensions, ...
Determination of Energy Release Rate Through Sequential Crack Extension
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A method to determine the critical energy release rate of a peel tested sample using an energy-based approach within a finite element framework is developed. The method uses a single finite element model, in which the ...