Performance of GSO algorithm with ANN by using Matlab for RF MEMS Reconfigurable Antenna

摘要

This paper presenting the study and use of Gravitational Search Optimization (GSO) algorithm with Matlab for designing RF MEMS Switch. The RF-MEMS technology which is continuously growing and MEMS for reconfigurable antenna it is very interesting and most valuable issues for optimization designing. It is investigated relationship between different designing parameters and the device performance for designing a MEMS device. The structure of antenna is determined by selecting the optimal dimensions for example beam length and beam width of the antenna, Torsion arm length, Switch thickness, Holes and Gap are used. To optimize the dimensions, GSO algorithm is proposed with artificial neural network that will reduce the errors and produce optimal output at the end. The implementation of the proposed method will be done by Matlab 2013b and the performance will be analyzed with existing methodologies.