@article{
 title = {Application of Gbest-guided artificial bee colony algorithm to passive UHF RFID tag design},
 type = {article},
 year = {2016},
 keywords = {Antennas and propagation for wireless systems,RFID and sensors},
 pages = {537-545},
 volume = {8},
 id = {a52a0c9b-467b-31d0-8529-c7b7754a7ca5},
 created = {2020-02-29T16:57:44.305Z},
 file_attached = {false},
 profile_id = {c69aa657-d754-373c-91b7-64154b7d5d91},
 last_modified = {2023-02-11T18:54:02.713Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Goudos2016},
 private_publication = {false},
 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.},
 bibtype = {article},
 author = {Goudos, Sotirios K. and Siakavara, Katherine and Theopoulos, Argiris and Vafiadis, Elias E. and Sahalos, John N.},
 doi = {10.1017/S1759078715000902},
 journal = {International Journal of Microwave and Wireless Technologies},
 number = {3}
}

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