Several Approaches to Variable Selection by Means of Genetic Algorithms

Several Approaches to Variable Selection by Means of Genetic Algorithms

Marcos G. Pose (University of A Coruna, Spain), Alberto C. Carollo (University of A Coruna, Spain), José M.A. Garda (University of A Coruna, Spain) and Mari P. Gomez-Carracedo (University of A Coruna, Spain)
Copyright: © 2006 |Pages: 25
DOI: 10.4018/978-1-59140-902-1.ch007
OnDemand PDF Download:
$30.00
List Price: $37.50

Abstract

This chapter shows several approaches to determine how the most relevant subset of variables can perform a classification task. It will permit the improvement and efficiency of the classification model. A particular technique of evolutionary computation, the genetic algorithms, is applied which aim to obtain a general method of variable selection where only the fitness function will be dependent on the particular problem. The solution proposed is applied and tested on a practical case in the field of analytical chemistry to classify apple beverages.

Complete Chapter List

Search this Book:
Reset