keel.Algorithms.Preprocess.Feature_Selection.evolutionary_algorithms.GA_Gen_BinCod.wrapper

Class GGABinaryLVO

java.lang.Object

keel.Algorithms.Preprocess.Feature_Selection.evolutionary_algorithms.GA_Gen_BinCod.wrapper.GGABinaryLVO

public class GGABinaryLVO
extends java.lang.Object

MAIN CLASS OF GENERATIONAL GENETIC ALGORITHM FOR FEATURES SELECTION USING LVO WRAPPER METHOD

Author:

Manuel Chica Serrano Implementation of Generational GA with binary representation for features selection LVO (WRAPPER) Outputs: nearest neighbours for K-NN, k value for k-Tournamentvalor, crossover probabilitye, mutation probability, seed, population size, number of evaluations, alfa value for fitness balancing Encoding: Binary Selection: k-Tournament Replacement: Descendants always replaces parents Crossover and mutation in one point Fitness: (1-alfa)*%hits + alfa*features_selected Stopping criteria: number of evaluations

Constructor Summary

Constructors

Constructor and Description
GGABinaryLVO(java.lang.String ficParametros) Creates a new instance of GGABinaryLVO

Method Summary

Modifier and Type	Method and Description
void	ejecutar() method inteface for CHC algorithm.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

GGABinaryLVO

public GGABinaryLVO(java.lang.String ficParametros)

Creates a new instance of GGABinaryLVO

Parameters:

ficParametros - Configuration file.

Method Detail

ejecutar

public void ejecutar()

method inteface for CHC algorithm.