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Robust variable‐fidelity optimization of microwave filters using co‐Kriging and trust regions
Author(s) -
Koziel Slawomir,
Leifsson Leifur,
Couckuyt Ivo,
Dhaene Tom
Publication year - 2013
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.27447
Subject(s) - kriging , fidelity , interpolation (computer graphics) , trust region , microwave , embedding , convergence (economics) , variable (mathematics) , filter (signal processing) , surrogate model , computer science , mathematical optimization , electronic engineering , algorithm , engineering , mathematics , telecommunications , machine learning , artificial intelligence , mathematical analysis , computer security , economics , radius , computer vision , economic growth , frame (networking)
This work introduces a variable‐fidelity optimization methodology for simulation‐driven design optimization of filters. Our approach is based on electromagnetic (EM) simulations of different accuracy controlled by the mesh density. A Kriging interpolation model (the surrogate) is created using sampled low‐fidelity EM data and optimized to approximately locate the optimum of the high‐fidelity EM model of the filter. This initial surrogate is subsequently improved by blending in the high‐fidelity data accumulated during the optimization process using the co‐Kriging technique. The algorithm convergence is ensured by embedding it into the trust region framework. The operation and performance of our method is demonstrated using three filter design cases. © 2012 Wiley Periodicals, Inc. Microwave Opt Technol Lett 55:765–769, 2013; View this article online at wileyonlinelibrary.com. DOI: 10.1002/mop.27447