Simulation-driven particle swarm optimization of spatial phase shifters

A. Lalbakhsh; M. U. Afzal; K. Esselle

doi:10.1109/ICEAA.2016.7731418

Simulation-driven particle swarm optimization of spatial phase shifters

A. Lalbakhsh, M. U. Afzal, K. Esselle

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

38 Citations (Scopus)

Abstract

This paper presents a technique to design electromagnetic devices by a combination of evolutionary algorithm and electromagnetic (EM) simulation. This technique, named simulation-driven particle swarm optimization (SDPSO), exploits particle swarm optimization (PSO) to design a microwave component matched to user's requirements. To justify the need for such SDPSO, a performance comparison is made between the presented method and built-in PSO in CST Microwave Studio by designing three spatial phase shifters (45°, 90° and 135°) at 9 GHz. Optimization results show that the SDPSO outperforms the available built-in PSO.

Original language	English
Title of host publication	Proceedings of the 2016 18th International Conference on Electromagnetics in Advanced Applications, ICEAA 2016
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	428-430
Number of pages	3
ISBN (Electronic)	9781467398114
DOIs	https://doi.org/10.1109/ICEAA.2016.7731418
Publication status	Published - 2 Nov 2016
Event	18th International Conference on Electromagnetics in Advanced Applications, ICEAA 2016 - Cairns, Australia Duration: 19 Sept 2016 → 23 Sept 2016

Other

Other	18th International Conference on Electromagnetics in Advanced Applications, ICEAA 2016
Country/Territory	Australia
City	Cairns
Period	19/09/16 → 23/09/16

Access to Document

10.1109/ICEAA.2016.7731418

Cite this

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title = "Simulation-driven particle swarm optimization of spatial phase shifters",

abstract = "This paper presents a technique to design electromagnetic devices by a combination of evolutionary algorithm and electromagnetic (EM) simulation. This technique, named simulation-driven particle swarm optimization (SDPSO), exploits particle swarm optimization (PSO) to design a microwave component matched to user's requirements. To justify the need for such SDPSO, a performance comparison is made between the presented method and built-in PSO in CST Microwave Studio by designing three spatial phase shifters (45°, 90° and 135°) at 9 GHz. Optimization results show that the SDPSO outperforms the available built-in PSO.",

author = "A. Lalbakhsh and Afzal, \{M. U.\} and K. Esselle",

year = "2016",

month = nov,

day = "2",

doi = "10.1109/ICEAA.2016.7731418",

language = "English",

pages = "428--430",

booktitle = "Proceedings of the 2016 18th International Conference on Electromagnetics in Advanced Applications, ICEAA 2016",

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

address = "United States",

note = "18th International Conference on Electromagnetics in Advanced Applications, ICEAA 2016 ; Conference date: 19-09-2016 Through 23-09-2016",

}

Lalbakhsh, A, Afzal, MU & Esselle, K 2016, Simulation-driven particle swarm optimization of spatial phase shifters. in Proceedings of the 2016 18th International Conference on Electromagnetics in Advanced Applications, ICEAA 2016., 7731418, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 428-430, 18th International Conference on Electromagnetics in Advanced Applications, ICEAA 2016, Cairns, Australia, 19/09/16. https://doi.org/10.1109/ICEAA.2016.7731418

Simulation-driven particle swarm optimization of spatial phase shifters. / Lalbakhsh, A.; Afzal, M. U.; Esselle, K.
Proceedings of the 2016 18th International Conference on Electromagnetics in Advanced Applications, ICEAA 2016. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2016. p. 428-430 7731418.

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

TY - GEN

T1 - Simulation-driven particle swarm optimization of spatial phase shifters

AU - Lalbakhsh, A.

AU - Afzal, M. U.

AU - Esselle, K.

PY - 2016/11/2

Y1 - 2016/11/2

N2 - This paper presents a technique to design electromagnetic devices by a combination of evolutionary algorithm and electromagnetic (EM) simulation. This technique, named simulation-driven particle swarm optimization (SDPSO), exploits particle swarm optimization (PSO) to design a microwave component matched to user's requirements. To justify the need for such SDPSO, a performance comparison is made between the presented method and built-in PSO in CST Microwave Studio by designing three spatial phase shifters (45°, 90° and 135°) at 9 GHz. Optimization results show that the SDPSO outperforms the available built-in PSO.

AB - This paper presents a technique to design electromagnetic devices by a combination of evolutionary algorithm and electromagnetic (EM) simulation. This technique, named simulation-driven particle swarm optimization (SDPSO), exploits particle swarm optimization (PSO) to design a microwave component matched to user's requirements. To justify the need for such SDPSO, a performance comparison is made between the presented method and built-in PSO in CST Microwave Studio by designing three spatial phase shifters (45°, 90° and 135°) at 9 GHz. Optimization results show that the SDPSO outperforms the available built-in PSO.

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U2 - 10.1109/ICEAA.2016.7731418

DO - 10.1109/ICEAA.2016.7731418

M3 - Conference proceeding contribution

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SP - 428

EP - 430

BT - Proceedings of the 2016 18th International Conference on Electromagnetics in Advanced Applications, ICEAA 2016

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 18th International Conference on Electromagnetics in Advanced Applications, ICEAA 2016

Y2 - 19 September 2016 through 23 September 2016

ER -

Simulation-driven particle swarm optimization of spatial phase shifters

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2016 ICEAA - IEEE APWC Cash Prize ($2,000)

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Simulation-driven particle swarm optimization of spatial phase shifters

Abstract

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Prizes

2016 ICEAA - IEEE APWC Cash Prize ($2,000)

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