Fast array thinning using global optimization methods
A simple and fast method to accelerate the global optimization approaches used in array thinning is described. This method tabulates the contribution of every array element to the far-field pattern in order to improve the numerical efficiency of the optimization algorithm employed. Experiments using our proposal alongside with a genetic algorithm reduce the search computation time about 90%.
Palabras clave: neuralcomputing, evolutionary algorithms
Publicación: Congreso
1624015006349
18 de junio de 2021
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A simple and fast method to accelerate the global optimization approaches used in array thinning is described. This method tabulates the contribution of every array element to the far-field pattern in order to improve the numerical efficiency of the optimization algorithm employed. Experiments using our proposal alongside with a genetic algorithm reduce the search computation time about 90%. - M. Fernández-Delgado, J. A. Rodríguez-González, R. Iglesias, S. Barro, F. Ares-Pena
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