Multibeam Antennas Array Pattern Synthesis using Hybrid Particle Swarm Optimiser with Breeding and Subpopulations Algorithm
نویسنده
چکیده
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. General Terms Hybrid model, global approach, genetic algorithm, particle swarm optimizer, multibeam pattern, antenna arrays.
منابع مشابه
Multibeam Antennas Array Pattern Synthesis using Hybrid Particle Swarm Optimizer with Breeding and Subpopulations Algorithm
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 r...
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