Abstract
In this study, H-type and E-type microstrip antenna arrays with high efficiency and management are designed using Surrogate Model Assisted Differential Evolution Algorithm (SADEA) for antenna synthesis. In order to meet the increasing wireless communication requirements of the internet of things (IoT) technology it has become very important to design new antenna designs with artificial intelligence techniques to transmit electromagnetic waves between antenna elements in the most efficient way. With a view to operate in the 2.5 GHz band, which is widely used in wireless communication technologies. H-type and E-type microstrip antennas with a 2x2 structure are analyzed and finally compared. By using the SADEA method, the amplitude and the distance between the array elements are optimized. The total amplitude of the 4-element E-type and H-type microstrip antenna array is minimized to 2.45885 V and 2.14929 V, respectively, after optimization, while it is 4V for both before optimization.
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