International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 52 - Number 6 |
Year of Publication: 2012 |
Authors: Hichem Chaker, S. M. Meriah, F. T. Bendimerad |
10.5120/8207-1615 |
Hichem Chaker, S. M. Meriah, F. T. Bendimerad . Multibeam Antennas Array Pattern Synthesis using Hybrid Particle Swarm Optimizer with Breeding and Subpopulations Algorithm. International Journal of Computer Applications. 52, 6 ( August 2012), 27-31. DOI=10.5120/8207-1615
In this paper a new effective optimization algorithm called hybrid particle swarm optimizer with breeding and subpopulation is presented. This algorithm is essentially, as PSO and GA, a population-based heuristic search technique, now in use for the optimization of electromagnetic structures, modeled on the concepts of natural selection and evolution (GA) but also based on cultural and social rules derived from the analysis of the swarm intelligence and from the interaction among particles (PSO). The optimized design of multibeam antennas arrays is reported with numerical results.