Efficient Global Optimization (EGO) is an optimization strategy based on approximating functions, namely Gaussian process models. We show the application of this technique to a model calibration problem referred to a geomechanical application. By means of the approximating function an objective relevance ranking among the problem parameters canbe produced, offering valuable and reusable information on the physical problem.

Model calibration of a geomechanical problem with efficient global optimization

LOVISON, ALBERTO;TEATINI, PIETRO;JANNA, CARLO;FERRONATO, MASSIMILIANO;PUTTI, MARIO;GAMBOLATI, GIUSEPPE
2013

Abstract

Efficient Global Optimization (EGO) is an optimization strategy based on approximating functions, namely Gaussian process models. We show the application of this technique to a model calibration problem referred to a geomechanical application. By means of the approximating function an objective relevance ranking among the problem parameters canbe produced, offering valuable and reusable information on the physical problem.
2013
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/2933902
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