Multibeam Antennas Array Pattern Synthesis using Hybrid Particle Swarm Optimizer with Breeding and Subpopulations Algorithm
| Autor: | Fethi Tarik Bendimerad, S. M. Meriah, Hichem Chaker |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Mathematical optimization
education.field_of_study Natural selection Heuristic Computer science Particle swarm optimizer Computer Science::Neural and Evolutionary Computation Population MathematicsofComputing_NUMERICALANALYSIS Swarm intelligence Pattern synthesis Multi-swarm optimization education Algorithm |
| Zdroj: | International Journal of Computer Applications. 52:27-31 |
| ISSN: | 0975-8887 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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