Yagi-Uda Antenna Design Optimization for Maximum Gain using different BBO Migration Variants

Abstract

Biogeography is the study of distribution of biological species, over space and time, among random habitats. Recently developed Biogeography-Based Optimization (BBO) is a technique, where solutions of the problem under consideration are named as habi- tats; similar to chromosome in Genetic Algorithms (GAs) and particles in Particle Swarm Optimization (PSO). Feature sharing among various habitats, i.e., exploitation, is made to occur due to migration operator wheras exploration of new SIV values, simi- lar to that of GAs, is accomplished with mutation operator. In this paper, various migration variants of BBO algorithm, reported till date, are investigated to optimize the lengths and spacings forYagi- Uda antenna elements for maximum gain. The results obtained with these migration variants are compared and the best results are pre- sented in the ending sections of the paper