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 | |
| 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 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
Cite this
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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
TY - GEN
T1 - A new fitness function in binary particle swarm optimization for efficient design of frequency selective surfaces
AU - Yang, Dae Do
AU - Park, Chan Sun
AU - Yook, Jong Gwan
PY - 2019/1/16
Y1 - 2019/1/16
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.
UR - http://www.scopus.com/inward/record.url?scp=85061842190&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061842190&partnerID=8YFLogxK
U2 - 10.23919/APMC.2018.8617617
DO - 10.23919/APMC.2018.8617617
M3 - Conference contribution
AN - SCOPUS:85061842190
T3 - Asia-Pacific Microwave Conference Proceedings, APMC
SP - 1283
EP - 1285
BT - 2018 Asia-Pacific Microwave Conference, APMC 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -