A new algorithm for optimizing and its application in communication engineering

Nature-inspired algorithms such as Particle Swarm Optimization and GA Algorithm are among the most powerful algorithms for optimization. In this paper, we intend toformulate a new metaheuristic Firefly Algorithm. Numerical studies and results suggest that the proposed Firefly algorithm is superior to existing metaheuristic algorithms and in this approach we use of it for optimization of treatment smart circular array antenna. A design problem of circular antenna arrays for maximum reduction of both the side lobe level (SLL) and first null beam width (FNBW) is dealt with. This problem is modeled as a simple optimization problem. The method ofFirefly algorithm (FFA) is used to determine an optimal set of current excitation weights and antenna inter-element separations that provide radiation pattern with maximum SLL reduction and much improvement on FNBW as well. Circular arrayantenna laid on x-y plane is assumed. Various simulation results are presented and hence performances of side lobe and FNBW are analyzed. Experimental results show considerable reductions of both the SLL and FNBW with respect to those of the uniform case and some standard algorithms GA, PSO and SA applied to the same problem

Keywords:

Circular arrays , Optimization , FNBW , SLL , FFA