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Progress In Electromagnetics Research
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DESIGN OPTIMIZATION OF A BOW-TIE ANTENNA FOR 2.45 GHz RFID READERS USING A HYBRID BSO-NM ALGORITHM

By K. R. Mahmoud

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Abstract:
Recently the Bacterial foraging optimization algorithm (BFA) has attracted a lot of attention as a high-performance optimizer. This paper presents a hybrid approach involving Bacterial Swarm Optimization (BSO) and Nelder-Mead (NM) algorithm. The proposed algorithm is used to design a bow-tie antenna for 2.45 GHz Radio Frequency Identification (RFID) readers. The antenna is analyzed completely using Method of Moments (MoM), then the MoM code is coupled with the BSO-NM algorithm to optimize the antenna. The simulated antenna and the optimization algorithm programs were implemented using MATLAB version 7.4. To verify the validity of numerical simulations, the results are compared with those obtained using Feko Software Suite 5.3.

Citation:
K. R. Mahmoud, "Design Optimization of a Bow-Tie Antenna for 2.45 GHz RFID Readers Using a Hybrid Bso-Nm Algorithm," Progress In Electromagnetics Research, Vol. 100, 105-117, 2010.
doi:10.2528/PIER09102903
http://www.jpier.org/PIER/pier.php?paper=09102903

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