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.