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Nested Kriging Surrogates for Rapid Multi-Objective Optimization of Compact Microwave Components

Abstract

A procedure for rapid EM-based multi-objective optimization of compact microwave components is presented. Our methodology employs a recently developed nested kriging modelling to identify the search space region containing the Pareto-optimal designs, and to construct a fast surrogate model. The latter permits determination of the initial Pareto set, further refined using a separate surrogate-assisted process. As an illustration, a three-section impedance transformer is designed for the best matching and minimum size. The set of trade-off designs is produced at the low computational cost of only a few hundred of high-fidelity EM simulations of the transformer circuit despite a large number of its geometry parameters.

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Category:
Articles
Type:
artykuły w czasopismach
Published in:
APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL no. 35, pages 1344 - 1345,
ISSN: 1054-4887
Language:
English
Publication year:
2020
Bibliographic description:
Pietrenko-Dąbrowska A., Kozieł S.: Nested Kriging Surrogates for Rapid Multi-Objective Optimization of Compact Microwave Components// APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL -Vol. 35,iss. 11 (2020), s.1344-1345
DOI:
Digital Object Identifier (open in new tab) 10.47037/2020.aces.j.351141
Verified by:
Gdańsk University of Technology

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