Optimization of beam scanning Reflectarray using $M_{Q}C_{10}$-BBO and SNO Algorithms

In this paper, some numerical results about the optimization of a reflectarray with scanning capabilities are presented. Two different, innovative algorithms are compared, the MQC10-Biogeography Based Optimization ( MQC10-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°.