Optimizing meandered spiral antennas for RFID tags using gbest-guided Artificial Bee Colony algorithm

Sotirios K. Goudos, Katherine Siakavara, John N. Sahalos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, new planar spiral antennas with meander lines and loads for passive RFID tag application at UHF band are designed and optimized using the gbest-guided Artificial Bee Colony (GABC) algorithm. The GABC is an improved ABC algorithm, which includes global best (gbest) solution information into the search equation to improve the exploitation. The optimization goals are antenna size minimization, gain maximization, and conjugate matching. The antenna dimensions were optimized and evaluated in conjunction with FEKO. The optimization results produced show that GABC is a powerful optimization algorithm that can be efficiently applied to tag antenna design problems.

Original languageEnglish
Title of host publication8th European Conference on Antennas and Propagation, EuCAP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2962-2965
Number of pages4
ISBN (Electronic)9788890701849
DOIs
Publication statusPublished - 2014
Event8th European Conference on Antennas and Propagation, EuCAP 2014 - The Hague, Netherlands
Duration: 6 Apr 201411 Apr 2014

Other

Other8th European Conference on Antennas and Propagation, EuCAP 2014
CountryNetherlands
CityThe Hague
Period6/04/1411/04/14

Keywords

  • Antenna
  • Measurement
  • Propagation

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    Goudos, S. K., Siakavara, K., & Sahalos, J. N. (2014). Optimizing meandered spiral antennas for RFID tags using gbest-guided Artificial Bee Colony algorithm. In 8th European Conference on Antennas and Propagation, EuCAP 2014 (pp. 2962-2965). [6902449] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EuCAP.2014.6902449