• 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