Saeed Ayat, Mohammad Reza Mohammadi Khoroushani
Journal Paper The Journal of Mathematics and Computer Science (JMCS), Volume 13, Issue 2, 2014, Pages 130-135
Publication year: 2014


Selecting the most suitable features among a collection of features to achieve accuracy, sensitivity and efficiency is considered as a big challenge in pattern recognition systems. In this study, the two binary genetic and the binary shuffled frog leaping evolutionary algorithms are evaluated with respect to efficient feature selection in a medical detecting system. The results point to the effectiveness of selection of the most suitable features through memetic Meta heuristic binary frog leaping in increasing the accuracy, sensitivity in detection and time saving in the Classification process against the genetic algorithm.


Feature Selection, Genetic, Meta heuristic, Shuffled Frog Leaping Algorithm, Skin Lesions

دیدگاهتان را بنویسید

نشانی ایمیل شما منتشر نخواهد شد. بخش‌های موردنیاز علامت‌گذاری شده‌اند *