This paper presents a recently developed algorithm based on the emulation of decision making process in social network environments, called Social Network Optimization (SNO). The design of a sparse array is here addressed in order to assess SNO's performance on a benchmark EM optimization problem. Reported results show its effectiveness in dealing with EM problems.

Sparse array design by means of Social Network Optimization / Niccolai, A.; Gonano, C. A.; Grimaccia, F.; Mussetta, M.; Zich, R. E.; Pirinoli, Paola. - ELETTRONICO. - (2015), pp. 1336-1337. (Intervento presentato al convegno IEEE Antennas and Propagation Society Symposium tenutosi a Vancouver, Canada nel July, 19-24 2015) [10.1109/APS.2015.7305057].

Sparse array design by means of Social Network Optimization

PIRINOLI, Paola
2015

Abstract

This paper presents a recently developed algorithm based on the emulation of decision making process in social network environments, called Social Network Optimization (SNO). The design of a sparse array is here addressed in order to assess SNO's performance on a benchmark EM optimization problem. Reported results show its effectiveness in dealing with EM problems.
2015
978-1-4799-7815-1
978-1-4799-7815-1
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2650385
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo