Title :
Optimizing meandered spiral antennas for RFID tags using gbest-guided Artificial Bee Colony algorithm
Author :
Goudos, Sotirios K. ; Siakavara, Katherine ; Sahalos, John N.
Author_Institution :
Dept. of Phys., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
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.
Keywords :
UHF antennas; optimisation; planar antennas; radiofrequency identification; spiral antennas; FEKO; GABC; UHF band; antenna design problems; antenna dimensions optimization; antenna size minimization; conjugate match; exploitation improvement; gbest-guided artificial bee colony algorithm; global best; meander lines; optimization goals; passive RFID tag application; planar spiral antennas; radiofrequency identification; Algorithm design and analysis; Antennas; Geometry; Optimization; Radiofrequency identification; Spirals; antenna; measurement; propagation;
Conference_Titel :
Antennas and Propagation (EuCAP), 2014 8th European Conference on
Conference_Location :
The Hague
DOI :
10.1109/EuCAP.2014.6902449
