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Microstrip antenna optimization using evolutionary algorithms

Behera, Kalpa RanjanSalkuti, Surender Reddy
IAES International Journal of Artificial Intelligence (IJ-AI) (Sinta 1)Vol. 0 No. 01 September 2022
DOI10.11591/ijai.v11.i3.pp836-842

Abstrak

Different structures of microstrip antenna optimization using different algorithms are the important field of wireless communications. Rectangular microstrip antenna, inverted E-shaped antenna, tulip shaped antenna are some examples of microstrip antennas. The antenna dimensions are optimized by different algorithms. The operating frequencies for different antenna structures depend on antenna dimensions. The frequency of operation is 3-lS GHz for rectangular antenna, IMT-2000 for invelted E-shaped antenna, 8 to 12 GHz for tulip shaped antenna, 2.16 GHz for miniaturized antenna structure. The dimensions of microstrip antennas are modified to get minimum reflection coefficient maximum gain and bandwidth. The dimensions are modified using different algorithms such as evolutionary algorithm, particle swarm optimization (PSO), artificial neural network (ANN), and genetic algorithms (GA).

Kata Kunci

artificial neural networkdifferential evolutione-shape microstrip antennagenetic algorithmmicrostrip antennaparticle swarm optimizationtulip shape antenna

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Microstrip antenna optimization using evolutionary algorithms | IAES International Journal of Artificial Intelligence (IJ-AI) | Publiora