Abstract

Particle Swarm Optimization (PSO) and Biogeography Based Optimization (BBO) are most popular swarm based optimization algorithms those have shown impressive performance over other Evolutionary Algorithms (EAs). Yagi-Uda is one of most widely antenna designs used at High Frequency (HF) and Ultra High Frequency (UHF) due its high gain, low cost and constructional ease. Designing a Yagi-Uda antenna involves determination of wire-element lengths and their spacings in between them those bear highly complex and non-linear relationships with antenna gain, impedance and Single Lobe Level (SLL) at a particular frequency of operation. In this paper, a comparative study between PSO and BBO is presented for faster optimization of antenna designs for maximum gain. The best antenna designs are tabulated and average of 10 monte-carlo simulations are plotted for BBO, PSO and their combinational iterative performances in the ending sections.

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