An Application of Algorithm Based on Abstract Data Types to the Keratoconus Diagnosis

摘要：

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(R). 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.

关键词： genetic algorithm metricsclassification keratoconus parameters

作者: Valter Wellington Ramos Junior Joao Marcelo Lyra Guilherme Ribeiro Roberta Vilhena Vieira Lopes Renato Ambrosio Jr. Ant(o)nio Fernando de S. Bezerra Luis Claudius Coradine

作者单位: Institute de computa(c)(a)o Universidade Federal de Alagoas - UFAL Maceio, Brasil Faculdade de Medicina Universidade de Ciencias da Sa(u)de de Alagoas Maceio, Brasil Faculdade de Medicina Universidade de Ciencias da Saude de Alagoas Maceio, Brasil Instituto de computa(c)(a)o Universidade Federal de Alagoas - UFAL Maceio, Brasil Pontificia Universidade Catolica Rio de Janeiro, Brasil Faculdade de Medicina Universidade Federal de Alagoas - UFAL Maceio, Brasil Instituto de Computa(c)(a)o Universidade Federal de Alagoas - UFAL.Maceió, Brasil

会议类型: 国际会议

会议名称: The 13th IEEE Joint International Computer Science and Information Technology Conference(2011年第13届IEEE联合国际计算机科学与信息技术会议 JICSIT 2011)

会议地点: 重庆

会议语种:英文

页码: 187-191

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）