Multi-objective particle swarm optimization for the realization of a low profile bandpass frequency selective surface

Ali Lalbakhsh, Muhammad U. Afzal, Karu P. Esselle, Basit A. Zeb

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

16 Citations (Scopus)

Abstract

This paper presents a new application of evolutionary optimization algorithm to design an extremely low profile bandpass frequency selective surface (FSS). A particle swarm optimization algorithm is interfaced with a commercial time-domain solver to design and optimize a second-order bandpass FSS at 10 GHz with 20% fractional bandwidth. Four structure variables are defined in the algorithm to be optimized for realization of a grid of capacitive patches and inductive strips, which constitute the bandpass FSS. Optimization led to a FSS with a total thickness of λo/65.

Original languageEnglish
Title of host publication2015 International Symposium on Antennas and Propagation, ISAP 2015
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-4
Number of pages4
ISBN (Electronic)9784885523038
Publication statusPublished - 2015
EventInternational Symposium on Antennas and Propagation, ISAP 2015 - Hobart, Australia
Duration: 9 Nov 201512 Nov 2015

Conference

ConferenceInternational Symposium on Antennas and Propagation, ISAP 2015
CountryAustralia
CityHobart
Period9/11/1512/11/15

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