Bandwidth optimization of the E-shaped microstrip antenna using the genetic algorithm based on fuzzy decision making

The bandwidth of an E-shaped microstrip antenna is optimized using the genetic algorithm (GA) based on fuzzy decision making. The method of moments is employed for the analysis of the microstrip antenna at the frequency band of 1.8 GHz to 2.6 GHz by the optimization parameters of supply locations and slot dimensions. The fuzzy inference system is used for the control of the parameters of the genetic algorithm. In the implemented fuzzy system, inputs are parameters like population, and outputs are parameters such as crossover and mutation rates. Simulation results show the genetic algorithm to optimize the bandwidth of the E-shaped microstrip patch by 33.3%. The numerical results of the optimized antenna are compatible with measurements. VSWR is also measured and compared with the numerical data.