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
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/2933902
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
  • OpenAlex ND
social impact