Surrogate-based infill optimization applied to electromagnetic problems

Authors:
I. Couckuyt;F. Declercq;T. Dhaene;H. Rogier;L. Knockaert
Affiliations:
Department of Information Technology (INTEC), Ghent University - IBBT, Gaston Crommenlaan 8, 9050 Ghent, Belgium;Department of Information Technology (INTEC), Ghent University, Sint Pietersnieuwstraat 41, 9000 Ghent, Belgium;Department of Information Technology (INTEC), Ghent University - IBBT, Gaston Crommenlaan 8, 9050 Ghent, Belgium;Department of Information Technology (INTEC), Ghent University, Sint Pietersnieuwstraat 41, 9000 Ghent, Belgium;Department of Information Technology (INTEC), Ghent University, Sint Pietersnieuwstraat 41, 9000 Ghent, Belgium
Venue:
International Journal of RF and Microwave Computer-Aided Engineering - Advances in Design Optimization of Microwave-RF Circuits and Systems
Year:
2010

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Abstract

The increasing use of expensive computer simulations in engineering places a serious computational burden on associated optimization problems. Surrogate-based optimization becomes standard practice in analyzing such expensive black-box problems. This article discusses several approaches that use surrogate models for optimization and highlights one sequential design approach in particular, namely, expected improvement. The expected improvement approach is demonstrated on two electromagnetic problems, namely, a microwave filter and a textile antenna. © 2010 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2010.