Abstract
In this paper, some numerical results about the optimization of a reflectarray with scanning capabilities are presented. Two different, innovative algorithms are compared, the $M_{Q}C_{10}$ -Biogeography Based Optimization ( $M_{Q}C_{10}$ -BBO) and the Social Network Optimization (SNO): both are applied to the design of a planar Reflectarray with scanning capabilities, and the obtained results, validated by a full-wave analysis, prove that the two methods allow to have good features over a scanning angle of ±40°.
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