0 M.Fernández-Delgado J.A.Rodríguez-González R.Iglesias S.Barro F.Ares-Pena 2010 Journal of Electromagnetic Waves and Applications Brill 24 16 13 neuralcomputing evolutionaryalgorithms M.Fernández-Delgado R.Iglesias S.Barro 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-ï¬�eld 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%. Simulation results for both linear and planar arrays are shown. http://www.ingentaconnect.com/content/vsp/jew/2010/00000024/00000016/art00011?crawler=true