International Conference on Engineering in Medicine, Electrical, Computer Algorithms and Communication (ICEMECAC)

15 / 2017-11-07 10:30:37

REDUCTION OF SIDE LOBE LEVEL FOR ELLIPTICAL CYLINDRICAL ARRAY USING PARTICLE SWARM OPTIMIZATION AND DIFFERENTIAL EVOLUTION

elliptical cylindrical, side lobe level, thinned, PSO algorithm, DE algorithm

Two modern optimization methods including Particle Swarm Optimization and Differential Evolution are compared on elliptical cylindrical array for uniform excited isotropic antennas and non-uniform excited isotropic antennas. In evolutionary computation, differential evolution (DE) and Particle swarm optimisation (PSO) could be based on a computational technique that optimizes a problem by iteratively making an attempt to enhance solutions to a given problem. Simulation results show that Differential Evolution is better than Particle Swarm Optimization in terms of optimum side lobe level for thinned cylindrical elliptical antenna.