@inproceedings{d756bcb08bf44a56b1b7d10c1e0dcde2,
title = "Constrained Surrogates and Dimensionality Reduction for Low-Cost Multi-Objective Optimization of Compact Microwave Components",
abstract = "This paper addresses the problem of expedited surrogate-assisted multi-objective optimization of compact microwave passives. Our methodology adopts the concept of constrained modeling, enhanced by a reduction of the parameter space dimensionality. The latter is realized through the spectral analysis of the supplementary reference design set used to estimate the geometry of the Pareto front. As demonstrated using a 15-parameter impedance transformer, the combination of these mechanisms permits identification of the Pareto set at the cost of just a few hundred of EM circuit simulations. Benchmarking reveals considerable efficiency improvements achieved over the state-of-the-art surrogate-based MO algorithms.",
keywords = "compact components, dimensionality reduction, microwave design, multi-objective optimization, surrogate modeling",
author = "Slawomir Koziel and Anna Pietrenko-Dabrowska and Bandler, \{John W.\}",
note = "Funding Information: ACKNOWLEDGMENT The authors would like to thank Dassault Systemes, France, for making CST Microwave Studio available. This work was supported in part the Icelandic Centre for Research (RANNIS) Grant 217771051 and by National Science Centre of Poland Grant 2018/31/B/ST7/02369, and by Bandler Corporation. Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE MTT-S International Microwave Symposium, IMS 2021 ; Conference date: 07-06-2021 Through 25-06-2021",
year = "2021",
month = jun,
day = "7",
doi = "10.1109/IMS19712.2021.9574978",
language = "English",
series = "IEEE MTT-S International Microwave Symposium Digest",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "237--240",
booktitle = "2021 IEEE MTT-S International Microwave Symposium, IMS 2021",
address = "United States",
}