Design of Reconfigurable Antenna Array using Improved Multiagent Genetic Algorithms
نویسندگان
چکیده
This paper presents a new method of optimizing a reconfigurable dual-beam antenna array using improved multiagent genetic algorithm(IMAGA). The reconfigurable design problem is to find element excitations that will result in a sector pattern main beam with low side lobes with additional requirement that the same excitation amplitudes applied to the array with zero-phase should result in a high directivity, low side lobe pencil shaped main beam. Experiment results clearly indicate the better performance of IMAGA algorithm over MAGA, G3 model genetic algorithm and particle swarm optimization (PSO) in terms of solution quality, and consistency. Because of its improved consistency and less number of function evaluations, IMAGA is useful for real-time design of reconfigurable antenna array.
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