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 |
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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 |
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Volume | 2018-November |
Conference
Conference | 30th Asia-Pacific Microwave Conference, APMC 2018 |
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Country | Japan |
City | Kyoto |
Period | 18/11/6 → 18/11/9 |
Bibliographical note
Publisher Copyright:© 2018 IEICE
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering