Abstract
The Yagi-Uda antenna is being widely used for VHF/UHF applications. Depending on the particular application, there are different design goals to be met. Several techniques, such as gradient-based method, genetic algorithms, and particle swarm optimization, have been used for optimization of the Yagi-Uda antenna for different design objectives. Simulated annealing (SA) is a stochastic global optimization technique, which has been used successfully for the optimization of antenna arrays. In this article, the use of SA for optimization of gain, impedance, and sidelobe level of the pattern of the Yagi-Uda antenna has been presented. To evaluate the performance of the designs, a method of moments code NEC2 has been used. The results obtained show superiority of SA over other methods.
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