Application of Gbest-guided artificial bee colony algorithm to passive UHF RFID tag design

Sotirios K. Goudos; Katherine Siakavara; Argiris Theopoulos; Elias E. Vafiadis; John N. Sahalos

doi:10.1017/S1759078715000902

Application of Gbest-guided artificial bee colony algorithm to passive UHF RFID tag design

Sotirios K. Goudos, Katherine Siakavara, Argiris Theopoulos, Elias E. Vafiadis, John N. Sahalos

Department of Engineering

Aristotle University of Thessaloniki

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, new planar spiral antennas with meander lines and loads for passive Radiofrequency identification tag application at ultra-high-frequency band are designed and optimized using the global best (gbest)-guided Artificial Bee Colony (GABC) algorithm. The GABC is an improved Artificial Bee Colony algorithm, which includes 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 commercial software FEKO. GABC is compared with other popular algorithms. The optimization results produced show that GABC is a powerful optimization algorithm that can be efficiently applied to tag antenna design problems.

Original language	English
Pages (from-to)	537-545
Number of pages	9
Journal	International Journal of Microwave and Wireless Technologies
Volume	8
Issue number	3
DOIs	https://doi.org/10.1017/S1759078715000902
Publication status	Published - 1 May 2016

Keywords

Antennas and propagation for wireless systems
RFID and sensors

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10.1017/S1759078715000902

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abstract = "In this paper, new planar spiral antennas with meander lines and loads for passive Radiofrequency identification tag application at ultra-high-frequency band are designed and optimized using the global best (gbest)-guided Artificial Bee Colony (GABC) algorithm. The GABC is an improved Artificial Bee Colony algorithm, which includes 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 commercial software FEKO. GABC is compared with other popular algorithms. The optimization results produced show that GABC is a powerful optimization algorithm that can be efficiently applied to tag antenna design problems.",

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AU - Sahalos, John N.

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Application of Gbest-guided artificial bee colony algorithm to passive UHF RFID tag design

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