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

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 proceeding › Conference proceeding contribution › peer-review

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 language	English
Title of host publication	2015 International Symposium on Antennas and Propagation, ISAP 2015
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-4
Number of pages	4
ISBN (Electronic)	9784885523038
Publication status	Published - 2015
Event	International Symposium on Antennas and Propagation, ISAP 2015 - Hobart, Australia Duration: 9 Nov 2015 → 12 Nov 2015

Conference

Conference	International Symposium on Antennas and Propagation, ISAP 2015
Country/Territory	Australia
City	Hobart
Period	9/11/15 → 12/11/15

Cite this

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

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.",

author = "Ali Lalbakhsh and Afzal, {Muhammad U.} and Esselle, {Karu P.} and Zeb, {Basit A.}",

year = "2015",

language = "English",

pages = "1--4",

booktitle = "2015 International Symposium on Antennas and Propagation, ISAP 2015",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "International Symposium on Antennas and Propagation, ISAP 2015 ; Conference date: 09-11-2015 Through 12-11-2015",

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Lalbakhsh, A, Afzal, MU, Esselle, KP & Zeb, BA 2015, Multi-objective particle swarm optimization for the realization of a low profile bandpass frequency selective surface. in 2015 International Symposium on Antennas and Propagation, ISAP 2015., 7447507, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1-4, International Symposium on Antennas and Propagation, ISAP 2015, Hobart, Australia, 9/11/15.

Multi-objective particle swarm optimization for the realization of a low profile bandpass frequency selective surface. / Lalbakhsh, Ali; Afzal, Muhammad U.; Esselle, Karu P.; Zeb, Basit A.

2015 International Symposium on Antennas and Propagation, ISAP 2015. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2015. p. 1-4 7447507.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AU - Esselle, Karu P.

AU - Zeb, Basit A.

PY - 2015

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N2 - 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.

AB - 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.

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M3 - Conference proceeding contribution

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EP - 4

BT - 2015 International Symposium on Antennas and Propagation, ISAP 2015

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - International Symposium on Antennas and Propagation, ISAP 2015

Y2 - 9 November 2015 through 12 November 2015

ER -

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

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