The design of a shaped beam reflectarray is a challenging issues. The problem can be hardly addressed by deterministic techniques or standard optimization due to the elevated number of design variables and its non-convex nature while can be much easily solved adopting Evolutionary Optimization Algorithms. In particular, in this paper a recently introduced evolutionary approach, named Social Network Optimization (SNO) has been applied to the design of a reduced size shaped beam reflectarray: the obtained numerical results are promising and prove the effectiveness of the adopted method.

SNO Based Optimization for Shaped Beam Reflectarray Antennas / Niccolai, Alessandro; Zich, RIccardo; Beccaria, Michele; Pirinoli, Paola. - ELETTRONICO. - (2019), pp. 1-4. ((Intervento presentato al convegno EuCAP 2019 tenutosi a Cracovia nel 31 Marzo - 5 Aprile.

SNO Based Optimization for Shaped Beam Reflectarray Antennas

Michele Beccaria;Paola Pirinoli
2019

Abstract

The design of a shaped beam reflectarray is a challenging issues. The problem can be hardly addressed by deterministic techniques or standard optimization due to the elevated number of design variables and its non-convex nature while can be much easily solved adopting Evolutionary Optimization Algorithms. In particular, in this paper a recently introduced evolutionary approach, named Social Network Optimization (SNO) has been applied to the design of a reduced size shaped beam reflectarray: the obtained numerical results are promising and prove the effectiveness of the adopted method.
978-1-5386-8127-5
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2738196