New evolutionary algorithm for EBG materials optimization

Alessandro Gandelli; Francesco Grimaccia; Marco Mussetta; Paola Pirinoli; Riccardo E. Zich

doi:10.1117/12.582369

16 February 2004 New evolutionary algorithm for EBG materials optimization

Alessandro Gandelli, Francesco Grimaccia, Marco Mussetta, Paola Pirinoli, Riccardo E. Zich

Proceedings Volume 5648, Smart Materials III; (2004) https://doi.org/10.1117/12.582369
Event: Smart Materials, Nano-, and Micro-Smart Systems, 2004, Sydney, Australia

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.

Citation Download Citation

Alessandro Gandelli, Francesco Grimaccia, Marco Mussetta, Paola Pirinoli, and Riccardo E. Zich "New evolutionary algorithm for EBG materials optimization", Proc. SPIE 5648, Smart Materials III, (16 February 2004); https://doi.org/10.1117/12.582369

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