FSS are typically periodic media characterized by the capability to inhibit the electromagnetic wave propagation for each angle and each polarization in a specific frequency band. These complex structures present different degree of freedom, that can be used to optimize the performances of the application. On the other hand, the management of different degrees of freedom can result in the complexity increasing of the entire device-design procedure. The aim of this research is to analyse the optimization of FSS by means of MetaPSO, a novel implementation of Particle Swarm Optimization with the aim of a more efficient search over the solution space obtained with a negligible overhead in both complexity and speed.
Improved optimization algorithm for frequency selective surface
MUSSETTA, MARCO;GRIMACCIA, FRANCESCO;ZICH, RICCARDO;HO MANH, LINH
2012-01-01
Abstract
FSS are typically periodic media characterized by the capability to inhibit the electromagnetic wave propagation for each angle and each polarization in a specific frequency band. These complex structures present different degree of freedom, that can be used to optimize the performances of the application. On the other hand, the management of different degrees of freedom can result in the complexity increasing of the entire device-design procedure. The aim of this research is to analyse the optimization of FSS by means of MetaPSO, a novel implementation of Particle Swarm Optimization with the aim of a more efficient search over the solution space obtained with a negligible overhead in both complexity and speed.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
