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°.

Optimization of beam scanning Reflectarray using MQC10-BBO and SNO Algorithms / Niccolai, Alessandro; Beccaria, Michele; Massaccesi, Andrea; Zich, Riccardo E.; Pirinoli, Paola. - (2019), pp. 506-509. ((Intervento presentato al convegno IEEE 2019 International Conference on Electromagnetics in Advanced Applications (ICEAA 2019) tenutosi a Granada, Spain nel 9-13 September 2019 [10.1109/ICEAA.2019.8879132].

Optimization of beam scanning Reflectarray using MQC10-BBO and SNO Algorithms

Michele Beccaria;Andrea Massaccesi;Paola Pirinoli
2019

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 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°.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2737979