DSpace
 
  Repositório Institucional da Universidade de Aveiro > Departamento de Física > FIS - Artigos >
 Multi-objective genetic algorithm applied to spectroscopic ellipsometry of organic-inorganic hybrid planar waveguides
Please use this identifier to cite or link to this item http://hdl.handle.net/10773/5754

title: Multi-objective genetic algorithm applied to spectroscopic ellipsometry of organic-inorganic hybrid planar waveguides
authors: Fernandes, Vasco R.
Vicente, Carlos
Wada, Naoya
Andre, Paulo
Ferreira, Maria R.
keywords: Ellipsometry and polarimetry
Thin films
Optical
Waveguides
Planar
issue date: 2010
publisher: Optical Society of America
abstract: The applicably of multi-objective optimization to ellipsometric data analysis is presented and a method to handle complex ellipsometric problems such as multi sample or multi angle analysis using multi-objective optimization is described. The performance of a multi-objective genetic algorithm (MOGA) is tested against a single objective common genetic algorithm (CGA). The procedure is applied to the characterization (refractive index and thickness) of planar waveguides intended for the production of optical components prepared sol-gel derived organic-inorganic hybrids, so-called di-ureasils, modified with zirconium tetrapropoxide, Zr(OPr(n))(4) deposited on silica on silicon substrates. The results show that for the same initial conditions, MOGA performs better than the CGA, showing a higher success rate in the task of finding the best final solution. (C) 2010 Optical Society of America
URI: http://hdl.handle.net/10773/5754
ISSN: 1094-4087
source: Optics Express
appears in collectionsFIS - Artigos

files in this item

file description sizeformat
2010_oe.pdf2.55 MBAdobe PDFview/open
statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! RCAAP OpenAIRE DeGóis
ria-repositorio@ua.pt - Copyright ©   Universidade de Aveiro - RIA Statistics - Powered by MIT's DSpace software, Version 1.6.2