DocumentCode :
2662924
Title :
Bandwidth optimization of EBG surfaces using genetic programming
Author :
Deias, L. ; Mazzarella, G. ; Sirena, N.
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Cagliari, Cagliari, Italy
fYear :
2009
fDate :
16-17 Nov. 2009
Firstpage :
593
Lastpage :
596
Abstract :
In this paper genetic programming is applied to the synthesis of planar periodic EBG. We constrained our design to the unit cell geometry and used a full-wave MoM to evaluate all individuals. The evolutionary strategy is then employed in order to find a geometry with a larger bandwidth.
Keywords :
bandwidth allocation; genetic algorithms; method of moments; periodic structures; photonic band gap; surface electromagnetic waves; bandwidth optimization; evolutionary strategy; full-wave MoM; genetic programming; planar periodic EBG surface; unit cell geometry; Antennas and propagation; Bandwidth; Electromagnetic scattering; Frequency selective surfaces; Genetic algorithms; Genetic programming; Geometry; Iterative algorithms; Metamaterials; Periodic structures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas & Propagation Conference, 2009. LAPC 2009. Loughborough
Conference_Location :
Loughborough
Print_ISBN :
978-1-4244-2720-8
Electronic_ISBN :
978-1-4244-2721-5
Type :
conf
DOI :
10.1109/LAPC.2009.5352381
Filename :
5352381
Link To Document :
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