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Surrogate‐based infill optimization applied to electromagnetic problems
Author(s) -
Couckuyt I.,
Declercq F.,
Dhaene T.,
Rogier H.,
Knockaert L.
Publication year - 2010
Publication title -
international journal of rf and microwave computer‐aided engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 39
eISSN - 1099-047X
pISSN - 1096-4290
DOI - 10.1002/mmce.20455
Subject(s) - surrogate model , infill , microwave , computer science , engineering optimization , filter (signal processing) , multi objective optimization , mathematical optimization , optimization problem , industrial engineering , engineering , mathematics , telecommunications , algorithm , structural engineering , computer vision
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.