Multi-fidelity EM simulations and constrained surrogate modelling for low-cost multi-objective design optimisation of antennas - Publikacja - MOST Wiedzy

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Multi-fidelity EM simulations and constrained surrogate modelling for low-cost multi-objective design optimisation of antennas

Abstrakt

In this study, a technique for low-cost multi-objective design optimisation of antenna structures has been proposed. The proposed approach is an enhancement of a recently reported surrogate-assisted technique exploiting variable-fidelity electromagnetic (EM) simulations and auxiliary kriging interpolation surrogate, the latter utilised to produce the initial approximation of the Pareto set. A bottleneck of the procedure for higher-dimensional design spaces is a large number of training data samples necessary to construct the surrogate. Here, the authors propose a procedure that allows us to confine the model domain to the subset spanned by the reference points, including the extreme Pareto-optimal designs obtained by optimising the individual objectives as well as an additional design that determines the Pareto front curvature. Setting up the surrogate in the constrained domain leads to a dramatic reduction of the required number of data samples, which results in lowering the overall cost of the optimisation process. Furthermore, the model domain confinement is generic, i.e. applicable for any number of design goals considered. The proposed technique is demonstrated using an ultra-wideband monopole antenna optimised with respect to three objectives. Significant reduction of the design cost is obtained as compared to the reference surrogate-assisted algorithm.

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Kategoria:
Publikacja w czasopiśmie
Typ:
artykuł w czasopiśmie wyróżnionym w JCR
Opublikowano w:
IET Microwaves Antennas & Propagation nr 12, wydanie 13, strony 2025 - 2029,
ISSN: 1751-8725
Język:
angielski
Rok wydania:
2018
Opis bibliograficzny:
Kozieł S., Sigurdsson A.: Multi-fidelity EM simulations and constrained surrogate modelling for low-cost multi-objective design optimisation of antennas// IET Microwaves Antennas & Propagation. -Vol. 12, iss. 13 (2018), s.2025-2029
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1049/iet-map.2018.5184
Weryfikacja:
Politechnika Gdańska

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