Microstrip Antenna Optimization using Evolutionary Algorithms

Kalpa Ranjan Behera, Surender Reddy Salkuti


Different structures of microstrip antenna optimization using different algorithms are the important field of wireless communications. Rectangular microstrip antenna, in­ ve1ted E-shaped antenna, tullip 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 inve1ted E-shaped antenna, (8-12) GHz for tullip 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, artificial neural network, and genetic algorithms.


Particle swarm optimization; Genetic algorithm; Artificial neural networks; Multistrip antenna

DOI: http://doi.org/10.11591/ijai.v11.i3.pp%25p


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