Local response surface approximations and variable-fidelity electromagnetic simulations for computationally efficient microwave design optimisation

Sławomir Kozieł; Stanislav Ogurtsov; Stanisław Szczepański

doi:10.1049/iet-map.2011.0293

Local response surface approximations and variable-fidelity electromagnetic simulations for computationally efficient microwave design optimisation

Abstract

In this study, the authors propose a robust and computationally efficient algorithm for simulation-driven design optimisation of microwave structures. Our technique exploits variable-fidelity electromagnetic models of the structure under consideration. The low-fidelity model is optimised using its local response surface approximation surrogates. The high-fidelity model is refined by space mapping with polynomial interpolation of the low-fidelity model data used as an underlying coarse model. Our algorithm is carefully developed to minimise the number of evaluations of both the low- and high-fidelity model in the optimisation process. The operation and efficiency of the approach is demonstrated through design of a microstrip filter, a double-ring antenna and an ultra-wideband monopole antenna. A comparison with other design approaches, including the direct high-fidelity model optimisation, is also presented.

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Authors (3)

Sławomir Kozieł prof. dr inż.
Stanislav Ogurtsov
Stanisław Szczepański prof. dr hab. inż.

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Category:: Articles
Type:: artykuł w czasopiśmie wyróżnionym w JCR
Published in:: IET Microwaves Antennas & Propagation no. 6, pages 1056 - 1062,
ISSN: 1751-8725
Language:: English
Publication year:: 2012
Bibliographic description:: Kozieł S., Ogurtsov S., Szczepański S.: Local response surface approximations and variable-fidelity electromagnetic simulations for computationally efficient microwave design optimisation // IET Microwaves Antennas & Propagation. -Vol. 6, nr. iss. 9 (2012), s.1056-1062
DOI:: Digital Object Identifier (open in new tab) 10.1049/iet-map.2011.0293
Verified by:: Gdańsk University of Technology