Surrogate-based infill optimization applied to electromagnetic problems
Ivo Couckuyt, Frederick Declercq, Tom Dhaene, Hendrik Rogier, Luc F. Knockaert · International Journal of RF and Microwave Computer-Aided Engineering · 2010
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.