A new fitness function in binary particle swarm optimization for efficient design of frequency selective surfaces

Dae Do Yang; Chan Sun Park; Jong Gwan Yook

doi:10.23919/APMC.2018.8617617

A new fitness function in binary particle swarm optimization for efficient design of frequency selective surfaces

Dae Do Yang, Chan Sun Park, Jong Gwan Yook

Department of Electrical and Electronic Engineering

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

Abstract

Several techniques have been used for FSS design for a long time, and Binary Particle Swarm Optimization (BPSO) is one of them as a proper and easily applicable technique to determine the periodic structure pattern of FSS. However, with fitness function used previously, it needs a lot of iterations to meet various requirement of FSS such as bandwidth or roll-off characteristics in BPSO. In this work, we achieved faster convergence of BPSO algorithm by using the improved transfer function in designing FSS. Representative results comparing the Fitness functions and values are included and discussed.

Original language	English
Title of host publication	2018 Asia-Pacific Microwave Conference, APMC 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1283-1285
Number of pages	3
ISBN (Electronic)	9784902339451
DOIs	https://doi.org/10.23919/APMC.2018.8617617
Publication status	Published - 2019 Jan 16
Event	30th Asia-Pacific Microwave Conference, APMC 2018 - Kyoto, Japan Duration: 2018 Nov 6 → 2018 Nov 9

Publication series

Name	Asia-Pacific Microwave Conference Proceedings, APMC
Volume	2018-November

Conference

Conference	30th Asia-Pacific Microwave Conference, APMC 2018
Country	Japan
City	Kyoto
Period	18/11/6 → 18/11/9

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.23919/APMC.2018.8617617

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Yang, D. D., Park, C. S., & Yook, J. G. (2019). A new fitness function in binary particle swarm optimization for efficient design of frequency selective surfaces. In 2018 Asia-Pacific Microwave Conference, APMC 2018 - Proceedings (pp. 1283-1285). [8617617] (Asia-Pacific Microwave Conference Proceedings, APMC; Vol. 2018-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/APMC.2018.8617617

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title = "A new fitness function in binary particle swarm optimization for efficient design of frequency selective surfaces",

abstract = "Several techniques have been used for FSS design for a long time, and Binary Particle Swarm Optimization (BPSO) is one of them as a proper and easily applicable technique to determine the periodic structure pattern of FSS. However, with fitness function used previously, it needs a lot of iterations to meet various requirement of FSS such as bandwidth or roll-off characteristics in BPSO. In this work, we achieved faster convergence of BPSO algorithm by using the improved transfer function in designing FSS. Representative results comparing the Fitness functions and values are included and discussed.",

author = "Yang, {Dae Do} and Park, {Chan Sun} and Yook, {Jong Gwan}",

year = "2019",

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doi = "10.23919/APMC.2018.8617617",

language = "English",

series = "Asia-Pacific Microwave Conference Proceedings, APMC",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1283--1285",

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note = "30th Asia-Pacific Microwave Conference, APMC 2018 ; Conference date: 06-11-2018 Through 09-11-2018",

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Yang, DD, Park, CS & Yook, JG 2019, A new fitness function in binary particle swarm optimization for efficient design of frequency selective surfaces. in 2018 Asia-Pacific Microwave Conference, APMC 2018 - Proceedings., 8617617, Asia-Pacific Microwave Conference Proceedings, APMC, vol. 2018-November, Institute of Electrical and Electronics Engineers Inc., pp. 1283-1285, 30th Asia-Pacific Microwave Conference, APMC 2018, Kyoto, Japan, 18/11/6. https://doi.org/10.23919/APMC.2018.8617617

A new fitness function in binary particle swarm optimization for efficient design of frequency selective surfaces. / Yang, Dae Do; Park, Chan Sun; Yook, Jong Gwan.

2018 Asia-Pacific Microwave Conference, APMC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1283-1285 8617617 (Asia-Pacific Microwave Conference Proceedings, APMC; Vol. 2018-November).

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

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N2 - Several techniques have been used for FSS design for a long time, and Binary Particle Swarm Optimization (BPSO) is one of them as a proper and easily applicable technique to determine the periodic structure pattern of FSS. However, with fitness function used previously, it needs a lot of iterations to meet various requirement of FSS such as bandwidth or roll-off characteristics in BPSO. In this work, we achieved faster convergence of BPSO algorithm by using the improved transfer function in designing FSS. Representative results comparing the Fitness functions and values are included and discussed.

AB - Several techniques have been used for FSS design for a long time, and Binary Particle Swarm Optimization (BPSO) is one of them as a proper and easily applicable technique to determine the periodic structure pattern of FSS. However, with fitness function used previously, it needs a lot of iterations to meet various requirement of FSS such as bandwidth or roll-off characteristics in BPSO. In this work, we achieved faster convergence of BPSO algorithm by using the improved transfer function in designing FSS. Representative results comparing the Fitness functions and values are included and discussed.

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Yang DD, Park CS, Yook JG. A new fitness function in binary particle swarm optimization for efficient design of frequency selective surfaces. In 2018 Asia-Pacific Microwave Conference, APMC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 1283-1285. 8617617. (Asia-Pacific Microwave Conference Proceedings, APMC). https://doi.org/10.23919/APMC.2018.8617617