Hybrid Differential Evolution with Biogeography Based Optimization for Yagi-Uda antenna design

This paper presents a hybrid optimization technique combining Differential Evolution with Biogeography Based Optimization (DE/BBO) to design Yagi-Uda antenna. Differential Evolution (DE) is an optimization technique which has been used successfully as a tool for solving global optimization problems. DE uses its mutation operator to explore the search space for better solutions. Biogeography Based Optimization (BBO) is a recently introduced technique which is based on nature's way of distributing organisms over space and time. In BBO, candidate solutions share features with migration operator for exploitation of search space. DE/BBO technique employs hybrid migration operator which combines the advantages of both DE and BBO to improve the quality of solutions. Yagi-Uda antenna is a widely used yet extremely hard to optimize antenna design. This can be attributed to non-linear and multimodal nature of gain function of Yagi-Uda antenna. In this paper, DE/BBO algorithm is applied to optimize six element Yagi-Uda antenna for gain, impedance and Front to Back Ratio (FBR). Results show the effectiveness of DE/BBO technique in designing Yagi-Uda antenna.