Pattern Synthesis for Linear Antenna Array Using Characteristics Evolution Optimization

Abstract

Linear antenna array design is one of the most important electromagnetic optimization problems of current research interests. In this paper a new method of optimization, Characteristics Evolution Optimization, has been introduced. The method is based on the binary digit system. Since the algorithm works on binary digits and in a parallel fashion, the method can perform well in parallel processing environment. For the purpose of illustration, a 16element array has been considered. The performance of the introduced technique has been compared with some of the existing techniques, IWO (Invasive Weed Optimization), DE (Differential Evolution), and PSO (Particle Swarm Optimization). Various variants of Invasive Weed Optimization have also been considered. It has been observed that the proposed method (Characteristics Evolution optimization) performs satisfactorily comparing with other existing methods. It has been observed that the introduced method, in certain instances, outperforms other optimization techniques.