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A computationally-efficient procedure for multi-objective design of antennas is presented. Our approach is general; however, in the particular case study considered here, the goal is to improve the antenna gain while ensuring that the matching requirements are satisfied. Our approach exploits the multi-objective evolutionary algorithm (MOEA) working with a fast surrogate model of the antenna obtained...
A computationally-efficient procedure for multi-objective design of antenna structures is presented. Our approach exploits the multi-objective evolutionary algorithm (MOEA) working with a fast antenna surrogate model obtained with kriging interpolation of coarse-discretization simulation data. Response correction techniques are subsequently applied to refine the designs obtained by MOEA. Our methodology...
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