The aim of this paper is to compare the optimization capability of two algorithm. The first one is a traditional algorithm, the Particle Swarm Optimization (PSO) and the other one is a recently developed algorithm, Social Network Optimization. To make a comparison between the two algorithms, the optimization of a planar reflectarray is here used as a complex, non-linear electromagnetic benchmark problem.

Reflectarray optimization by means of SNO and PSO

NICCOLAI, ALESSANDRO;GRIMACCIA, FRANCESCO;MUSSETTA, MARCO;ZICH, RICCARDO
2016-01-01

Abstract

The aim of this paper is to compare the optimization capability of two algorithm. The first one is a traditional algorithm, the Particle Swarm Optimization (PSO) and the other one is a recently developed algorithm, Social Network Optimization. To make a comparison between the two algorithms, the optimization of a planar reflectarray is here used as a complex, non-linear electromagnetic benchmark problem.
2016 IEEE Antennas and Propagation Society International Symposium, APSURSI 2016 - Proceedings
9781509028863
Instrumentation; Radiation; Computer Networks and Communications
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1022597
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