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%.
keywords: neuralcomputing, evolutionary algorithms
Publication: Congress
1624015006349
June 18, 2021
/research/publications/fast-array-thinning-using-global-optimization-methods2
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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