We tackle the multi-objective, current-only optimization of metasurface antennas with a novel adaptive weighting technique. Different constraints are combined in a single objective function with variable weights. The classical, non-linear conjugate gradient optimization algorithm is enriched with an hyperplane adaptive weighting scheme to improve the convergence properties. The procedure has been applied to the design of broadside-radiating metasurface antenna working at 23 GHz, with clear improvements in the resulting design with respect to the fixed-weights scheme.
Current-only multi-objective optimization of Metasurface antennas / Zucchi, Marcello; Guida, Amedeo; Vecchi, Giuseppe. - ELETTRONICO. - (2024). ( 2024 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI) Firenze (Ita) 14-19 Luglio 2024).
Current-only multi-objective optimization of Metasurface antennas
Marcello Zucchi;Amedeo Guida;Giuseppe Vecchi
2024
Abstract
We tackle the multi-objective, current-only optimization of metasurface antennas with a novel adaptive weighting technique. Different constraints are combined in a single objective function with variable weights. The classical, non-linear conjugate gradient optimization algorithm is enriched with an hyperplane adaptive weighting scheme to improve the convergence properties. The procedure has been applied to the design of broadside-radiating metasurface antenna working at 23 GHz, with clear improvements in the resulting design with respect to the fixed-weights scheme.| File | Dimensione | Formato | |
|---|---|---|---|
|
2941.pdf
accesso aperto
Tipologia:
2. Post-print / Author's Accepted Manuscript
Licenza:
Pubblico - Tutti i diritti riservati
Dimensione
237.49 kB
Formato
Adobe PDF
|
237.49 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/3005933
