Optimal Design of Antenna Array using Tuned Random Drift Particle Swarm Optimization Algorithm

Abstract

Conventional particle swarm optimization and random drift particle swarm optimization algorithms are applied to the optimal design of a collinear dipole antenna array. The random drift particle swam optimization algorithm is tuned for its best performance by properly choosing the control parameter and it showed a faster convergence rate compared to the conventional particle swarm optimization algorithm. The optimal array designed using the conventional particle swarm optimization algorithm has a beam width of 9 degrees between 1st nulls and maximum side lobe level of -24.17 dB whereas the array designed using the random drift particle swarm optimization algorithm has a beam width of 10 degrees between 1st nulls and maximum side lobe level of -27.46 dB.