2021
DOI: 10.17694/bajece.883468
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Design and Optimization of Directive Circular Patch Antenna with Asymmetric Pixels Using Genetic Algorithm

Abstract: In this study, a low-profile, high directive circular microstrip antenna was designed for 5.8 GHz ISM band applications. In the design, the GA / MoM approach based on the Method of Moments (MoM) integrated with the Genetic Algorithm (GA) optimization method was used. The simulations of the best first and second antennas obtained as a result of the optimization process were made using the ANSYS HFSS software program. According to the simulation results, it was determined that the input reflection coefficient of… Show more

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Cited by 2 publications
(1 citation statement)
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“…Genetic algorithms are an important tool in the design and optimization process of compact antennas. From the innovative design of a miniaturized evolved patch antenna whose radiation properties have been enhanced with a Split Ring Resonator (SRR) placed between the top and the ground plane [ 14 ] to antenna structures consisting of a tapered radiating element fed by a microstrip line [ 15 ], or microstrip patch antennas [ 16 , 17 , 18 ] with various shapes and configurations, the evolutionary computing algorithms based on the principles of genetics and natural selection are suitable for any problem. These are very general algorithms, so they work in any environment.…”
Section: Introductionmentioning
confidence: 99%
“…Genetic algorithms are an important tool in the design and optimization process of compact antennas. From the innovative design of a miniaturized evolved patch antenna whose radiation properties have been enhanced with a Split Ring Resonator (SRR) placed between the top and the ground plane [ 14 ] to antenna structures consisting of a tapered radiating element fed by a microstrip line [ 15 ], or microstrip patch antennas [ 16 , 17 , 18 ] with various shapes and configurations, the evolutionary computing algorithms based on the principles of genetics and natural selection are suitable for any problem. These are very general algorithms, so they work in any environment.…”
Section: Introductionmentioning
confidence: 99%