Accurate Computation of Drude-Lorentz Model Coefficients of Single Negative Magnetic Metamaterials Using a Micro-Genetic Algorithm Approach
Capitolo di libro
Data di Pubblicazione:
2017
Abstract:
Metamaterials are artificial materials having uncommon physical properties. For a fast and careful design of these structures, the development of simple and faithful models able to reproduce their electromagnetic behavior is a key factor. Very recently a quick method for the extraction of Drude-Lorentz models for electromagnetic metamaterials has been presented [1]. In this work we improve that approach, introducing a novel procedure exploiting a micro-genetic algorithm (mu-GA). Numerical results obtained for the case
Tipologia CRIS:
2.1 Contributo in volume (Capitolo o Saggio)
Elenco autori:
Sgrò, A; De Carlo, D; Angiulli, Giovanni; Morabito, Francesco Carlo; Versaci, Mario
Link alla scheda completa:
Titolo del libro:
Multidisciplinary Approaches to Neural Computing