DocumentCode
1804066
Title
An application of algorithm based on abstract data types to the keratoconus diagnosis
Author
Valter Wellington Ramos Junior ; Lopes, Roberta Vilhena Vieira ; Lyra, Joao Marcelo ; Ribeiro, Guilherme ; Ambrosio, Renato ; Bezerra, Antonio Fernando de S. ; Coradine, Luis Claudius
Author_Institution
Instituto de computação, Universidade Federal de Alagoas - UFAL, Maceió, Brasil
fYear
2013
fDate
1-8 Jan. 2013
Firstpage
1
Lastpage
5
Abstract
In this paper, it is proposed a new genetic algorithm based on abstract data types approach for determination of coefficients can be adjusted by evolutionary process considering some metrics classification for keratoconus patients parameters from the ORA®. It is intended to show the efficiency of genetic algorithm based on abstract data types in the characterization of a combined solution for complex optimization problems, like the classifier.
Keywords
Atmospheric measurements; Biological cells; Biomechanics; Particle measurements; Sociology; Statistics; genetic algorithm; keratoconus parameters; metrics classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Conference Anthology, IEEE
Conference_Location
China
Type
conf
DOI
10.1109/ANTHOLOGY.2013.6784907
Filename
6784907
Link To Document