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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publication2018 Asia-Pacific Microwave Conference, APMC 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1283-1285
Number of pages3
ISBN (Electronic)9784902339451
DOIs
Publication statusPublished - 2019 Jan 16
Event30th Asia-Pacific Microwave Conference, APMC 2018 - Kyoto, Japan
Duration: 2018 Nov 62018 Nov 9

Publication series

NameAsia-Pacific Microwave Conference Proceedings, APMC
Volume2018-November

Conference

Conference30th Asia-Pacific Microwave Conference, APMC 2018
CountryJapan
CityKyoto
Period18/11/618/11/9

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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