NDLI: Fast multi-objective design optimization of compact UWB matching transformers using variable-fidelity EM simulations and design space reduction

Content Provider	IEEE Xplore Digital Library
Author	Bekasiewicz, Adrian Koziel, Slawomir Leifsson, Leifur
Copyright Year	2015
Description	Author affiliation: Faculty of Electronics, Telecomm, and Informatics, Gdansk University of Technology, 80-233 Gdansk, Poland (Bekasiewicz, Adrian; Koziel, Slawomir) \|\| Department of Aerospace Engineering, Iowa State University, Ames, IA 50011, USA (Leifsson, Leifur)
Abstract	Expedited multi-objective design optimization of compact microwave/RF circuits is presented. Our approach utilizes variable-fidelity electromagnetic simulations, response surface approximations (RSAs) and design space reduction. The optimization process is conducted by means of a multi-objective evolutionary algorithm applied to the fast RSA model of the structure at hand. Selected Pareto-optimal designs are refined using output space mapping methodology. For the sake of illustration, optimization of a compact transformer matching the 50 Ohm source to the 130 Ohm load is demonstrated. Significant solution space reduction and utilization of a fast kriging RSA surrogate allows us to obtain 10-point representation of a Pareto front at a cost corresponding to only 133 high-fidelity simulations of the transformer.
Starting Page	1
Ending Page	3
File Size	133998
Page Count	3
File Format	PDF
e-ISBN	9781479968114
DOI	10.1109/NEMO.2015.7415012
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-11
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Solid modeling Computational modeling Output space-mapping Computer-aided design (CAD) Variable-fidelity simulations Data models Multi-objective optimization Integrated circuit modeling Optimization Antennas Load modeling Matching transformer design
Content Type	Text
Resource Type	Article

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