Concentric Circular Antenna Array design using hybrid differential evolution with Biogeography Based Optimization

This paper presents the synthesis of Concentric Circular Antenna Array (CCAA) with hybrid optimization technique combining Differential Evolution with Biogeography Based Optimization (DE/BBO). Biogeography Based Optimization (BBO) is a novel optimization technique based on distribution of organisms over space and time. BBO uses its migration operator to share information between solutions. Differential Evolution (DE) is a robust optimization technique which uses it mutation operator to explore search space for better solutions. DE/BBO combines the mutation operator of DE with migration operator of BBO to improve the quality of solutions and convergence performance. This paper presents the thinning of nine-ring CCAA with centre element using DE/BBO. The main objective of thinning process is to reduce the Side Lobe Level (SLL) while keeping the First Null Beam-Width (FNBW) fixed. Results obtained are compared with Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and BBO techniques. Results show the superior performance of DE/BBO as compared to other techniques, both in terms of SLL and convergence speed.