Multi-criteria design methodology of a dielectric resonator antenna with jumping genes evolutionary algorithm

A novel evolutionary computing algorithm, jumping genes evolutionary algorithm (JGEA) is used for designing a dielectric resonator antenna with multiple parasitic strips. This scheme provides an effective methodology for the antenna design, searching for the necessary parameters to achieve the optimal performance. The obtained non-dominated solutions for the antenna configurations have been used to select and determine the appropriate impedance bandwidth and radiation pattern. In the LP DRA optimization, the impedance bandwidth of 21% has been achieved. In the CP DRA optimization, the antenna can be designed to achieve the operation frequency ranged from 3 to 4.2 GHz. The results show enhancement of impedance bandwidth and the CP operation frequency range comparing with the original designs.