Low-Cost EM-Simulation-Driven Multi-Objective Optimization of Antennas - Publikacja - MOST Wiedzy

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Low-Cost EM-Simulation-Driven Multi-Objective Optimization of Antennas

Abstrakt

A surrogate-based method for efficient multi-objective antenna optimization is presented. Our technique exploits response surface approximation (RSA) model constructed from sampled low-fidelity antenna model (here, obtained through coarse-discretization EM simulation). The RSA model enables fast determination of the best available trade-offs between conflicting design goals. A low-cost RSA model construction is possible through initial reduction of the design space. Optimization of the RSA model has been carried out using a multi-objective evolutionary algorithm (MOEA). Additional response correction techniques have been subsequently applied to improve selected designs at the high-fidelity EM antenna model level. The refined designs constitute the final Pareto set representation. The proposed approach has been validated using an ultra-wideband (UWB) monocone and a planar Yagi-Uda antenna.

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Kategoria:
Aktywność konferencyjna
Typ:
materiały konferencyjne indeksowane w Web of Science
Opublikowano w:
Procedia Computer Science nr 29, strony 790 - 799,
ISSN: 1877-0509
Tytuł wydania:
2014 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE strony 790 - 799
Język:
angielski
Rok wydania:
2014
Opis bibliograficzny:
Bekasiewicz A., Kozieł S., Leifsson L..: Low-Cost EM-Simulation-Driven Multi-Objective Optimization of Antennas, W: 2014 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, 2014, Elsevier,.
Weryfikacja:
Politechnika Gdańska

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