Several Approaches to Variable Selection by Means of Genetic Algorithms

Several Approaches to Variable Selection by Means of Genetic Algorithms

Marcos Gestal Pose (University of A Coruna, Spain), Alberto Cancela Carollo (University of A Coruna, Spain), José Manuel Andrade Garda (University of A Coruna, Spain) and Mari Paz Gomez-Carracedo (University of A Coruna, Spain)
DOI: 10.4018/978-1-59904-941-0.ch013
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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.

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