New evolutionary algorithm for EBG materials optimization

被引:2
|
作者
Gandelli, A [1 ]
Grimaccia, F [1 ]
Mussetta, M [1 ]
Pirinoli, P [1 ]
Zich, RE [1 ]
机构
[1] Politecn Milan, Dipartimento Elettr, I-20133 Milan, Italy
来源
SMART MATERIALS III | 2005年 / 5648卷
关键词
D O I
10.1117/12.582369
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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 degree of freedom, that can be used to optimized 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 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.
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页码:269 / 275
页数:7
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