Particle Swarm Optimization (PSO) is a new, high performance evolutionary technique, which has recently been used for optimization problems in antennas and electromagnetics. It has been used for optimization of linear array of isotropic radiators, and found to give better results than other companion algorithms. A half wave dipole is a practical radiator, which closely resembles the behavior of an isotropic radiator and is most common array element. In this paper, a linear array of half wavelength parallel dipoles has been optimized for minimum side lobe level and null control using Particle Swarm Optimization. The results obtained show superiority of PSO over conventional method. 132 Rattan, Patterh, and Sohi
No takes yet. Share an insight, caveat, or question.
Rattan et al. (2008) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: