Multi-objective genetic algorithm applied to spectroscopic ellipsometry of organic-inorganic hybrid planar waveguides

resumo

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(OPrn)(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

palavras-chave

OPTIMIZATION

categoria

Optics

autores

Fernandes, VR; Vicente, CMS; Wada, N; Andre, PS; Ferreira, RAS

nossos autores

agradecimentos

Funding was provided by Fundacao para a Ciencia e a Tecnologia, FEDER (PTDC/CTM/72093/2006, SFRH/BD/41943/2007) and COST Action MP0702. The authors also thank E. Pecoraro from Instituto de Telecomunicacoes, University of Aveiro, for help in the hybrids' synthesis.

Partilhe este projeto

Publicações similares

Usamos cookies para atividades de marketing e para lhe oferecer uma melhor experiência de navegação. Ao clicar em “Aceitar Cookies” você concorda com nossa política de cookies. Leia sobre como usamos cookies clicando em "Política de Privacidade e Cookies".