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°.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
