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Proceedings Paper

New evolutionary algorithm for EBG materials optimization
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Paper Abstract

EBG structures are typically two or three dimensional 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 degrees 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 increasing of the complexity in the entire device-design procedure. The aim of this research is to analyse the optimization of EBG materials by means of a new technique: the Genetical Swarm Optimization (GSO). This approach consists of a co-operation of GA and PSO. The GSO results in a fast method for optimization of complex nonlinear objective functions and its wider potential makes it suitable for every electromagnetic applications. These optimized synthetic materials can represent an opportunity for the development and design of innovative electromagnetic devices.

Paper Details

Date Published: 16 February 2004
PDF: 7 pages
Proc. SPIE 5648, Smart Materials III, (16 February 2004); doi: 10.1117/12.582369
Show Author Affiliations
Alessandro Gandelli, Politecnico di Milano (Italy)
Francesco Grimaccia, Politecnico di Milano (Italy)
Marco Mussetta, Politecnico di Milano (Italy)
Paola Pirinoli, Politecnico di Torino (Italy)
Riccardo E. Zich, Politecnico di Milano (Italy)

Published in SPIE Proceedings Vol. 5648:
Smart Materials III
Alan R. Wilson, Editor(s)

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