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Accurate Computation of Drude-Lorentz Model Coefficients of Single Negative Magnetic Metamaterials Using a Micro-Genetic Algorithm Approach

Chapter
Publication Date:
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
Iris type:
2.1 Contributo in volume (Capitolo o Saggio)
List of contributors:
Sgrò, A; De Carlo, D; Angiulli, Giovanni; Morabito, Francesco Carlo; Versaci, Mario
Authors of the University:
ANGIULLI Giovanni
MORABITO Francesco Carlo
VERSACI Mario
Handle:
https://iris.unirc.it/handle/20.500.12318/11303
Book title:
Multidisciplinary Approaches to Neural Computing
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URL

https://link.springer.com/book/10.1007/978-981-13-8950-4
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