Surrogate-Assisted PSO for Patch Antenna Designs

Kai Fu; Kwok Wa Leung

doi:10.1109/CAMA62287.2024.10986200

Surrogate-Assisted PSO for Patch Antenna Designs

Kai Fu
, Kwok Wa Leung^*

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

In this study, we employed a surrogate-assisted particle swarm optimization (ESPSO) method to efficiently design wideband patch antennas. The ESPSO algorithm significantly reduced the computational burden typically associated with antenna design, requiring approximately 2000 EM simulations to meet the design specifications. The optimized antenna achieved a 42.95% bandwidth, covering the frequency range from 1.81 GHz to 2.8 GHz, with broadside radiation patterns and a maximum realized gain of 9.74 dBi. The effectiveness of ESPSO was demostrated in achieving high-performance wideband antenna designs within a limited computational budget. © 2024 IEEE.

Original language	English
Title of host publication	2024 IEEE Conference on Antenna Measurements and Applications (CAMA)
Publisher	IEEE
Number of pages	3
ISBN (Electronic)	9798350386929
ISBN (Print)	9798350350746
DOIs	https://doi.org/10.1109/CAMA62287.2024.10986200
Publication status	Published - Oct 2024
Event	10th IEEE Conference on Antenna Measurements and Applications (CAMA 2024) - Pullman Resort Beach Hotel, Da Nang, Viet Nam Duration: 9 Oct 2024 → 11 Oct 2024 https://2024ieeecama.org/

Publication series

Name	IEEE Conference on Antenna Measurements and Applications, CAMA
ISSN (Print)	2474-1760
ISSN (Electronic)	2643-6795

Conference

Conference	10th IEEE Conference on Antenna Measurements and Applications (CAMA 2024)
Abbreviated title	2024 IEEE CAMA
Place	Viet Nam
City	Da Nang
Period	9/10/24 → 11/10/24
Internet address	https://2024ieeecama.org/

Funding

This work was supported by the Seed Grant of the College of Engineering, City University of Hong Kong (Project no. 9229132).

Research Keywords

Antenna optimization
surrogate assisted evolutionary algorithm
wideband patch antenna

RGC Funding Information

RGC-funded

Access Output

10.1109/CAMA62287.2024.10986200

Other Access Options

Check CityUHK Library

Permanent Link

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Cite this

@inproceedings{bcfe5684dc4c47fa9cd8bcb64ba9be19,

title = "Surrogate-Assisted PSO for Patch Antenna Designs",

abstract = "In this study, we employed a surrogate-assisted particle swarm optimization (ESPSO) method to efficiently design wideband patch antennas. The ESPSO algorithm significantly reduced the computational burden typically associated with antenna design, requiring approximately 2000 EM simulations to meet the design specifications. The optimized antenna achieved a 42.95\% bandwidth, covering the frequency range from 1.81 GHz to 2.8 GHz, with broadside radiation patterns and a maximum realized gain of 9.74 dBi. The effectiveness of ESPSO was demostrated in achieving high-performance wideband antenna designs within a limited computational budget. {\textcopyright} 2024 IEEE.",

keywords = "Antenna optimization, surrogate assisted evolutionary algorithm, wideband patch antenna",

author = "Kai Fu and Leung, \{Kwok Wa\}",

year = "2024",

month = oct,

doi = "10.1109/CAMA62287.2024.10986200",

language = "English",

isbn = "9798350350746",

series = "IEEE Conference on Antenna Measurements and Applications, CAMA",

publisher = "IEEE",

booktitle = "2024 IEEE Conference on Antenna Measurements and Applications (CAMA)",

address = "United States",

note = "10th IEEE Conference on Antenna Measurements and Applications (CAMA 2024), 2024 IEEE CAMA ; Conference date: 09-10-2024 Through 11-10-2024",

url = "https://2024ieeecama.org/",

}

Surrogate-Assisted PSO for Patch Antenna Designs. / Fu, Kai ; Leung, Kwok Wa.
2024 IEEE Conference on Antenna Measurements and Applications (CAMA). IEEE, 2024. (IEEE Conference on Antenna Measurements and Applications, CAMA).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Surrogate-Assisted PSO for Patch Antenna Designs

AU - Fu, Kai

AU - Leung, Kwok Wa

PY - 2024/10

Y1 - 2024/10

N2 - In this study, we employed a surrogate-assisted particle swarm optimization (ESPSO) method to efficiently design wideband patch antennas. The ESPSO algorithm significantly reduced the computational burden typically associated with antenna design, requiring approximately 2000 EM simulations to meet the design specifications. The optimized antenna achieved a 42.95% bandwidth, covering the frequency range from 1.81 GHz to 2.8 GHz, with broadside radiation patterns and a maximum realized gain of 9.74 dBi. The effectiveness of ESPSO was demostrated in achieving high-performance wideband antenna designs within a limited computational budget. © 2024 IEEE.

AB - In this study, we employed a surrogate-assisted particle swarm optimization (ESPSO) method to efficiently design wideband patch antennas. The ESPSO algorithm significantly reduced the computational burden typically associated with antenna design, requiring approximately 2000 EM simulations to meet the design specifications. The optimized antenna achieved a 42.95% bandwidth, covering the frequency range from 1.81 GHz to 2.8 GHz, with broadside radiation patterns and a maximum realized gain of 9.74 dBi. The effectiveness of ESPSO was demostrated in achieving high-performance wideband antenna designs within a limited computational budget. © 2024 IEEE.

KW - Antenna optimization

KW - surrogate assisted evolutionary algorithm

KW - wideband patch antenna

UR - https://www.scopus.com/pages/publications/105005829650

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-105005829650&origin=recordpage

U2 - 10.1109/CAMA62287.2024.10986200

DO - 10.1109/CAMA62287.2024.10986200

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9798350350746

T3 - IEEE Conference on Antenna Measurements and Applications, CAMA

BT - 2024 IEEE Conference on Antenna Measurements and Applications (CAMA)

PB - IEEE

T2 - 10th IEEE Conference on Antenna Measurements and Applications (CAMA 2024)

Y2 - 9 October 2024 through 11 October 2024

ER -

Surrogate-Assisted PSO for Patch Antenna Designs

Abstract

Publication series

Conference

Funding

Research Keywords

RGC Funding Information

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Other Access Options

Permanent Link

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Fingerprint

DON_RMG: A Machine Learning-Assisted Mixed-Integer Algorithm for Antenna Design Optimization - RMGS

Cite this

Surrogate-Assisted PSO for Patch Antenna Designs

Abstract

Publication series

Conference

Funding

Research Keywords

RGC Funding Information

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Projects

DON_RMG: A Machine Learning-Assisted Mixed-Integer Algorithm for Antenna Design Optimization - RMGS

Cite this