Package unifeat.featureSelection.wrapper.GABasedMethods

Class BasicIndividual<GeneType>

java.lang.Object

unifeat.featureSelection.wrapper.GABasedMethods.BasicIndividual<GeneType>

Type Parameters:

GeneType - the type of genes of each individual

Direct Known Subclasses:

Individual, Individual

public abstract class BasicIndividual<GeneType>
extends Object

The abstract class contains the main methods and fields that are used in all GA-based feature selection methods. This class is used to represent a individual in GA algorithm.

Author:

Sina Tabakhi

Field Summary

Fields

Modifier and Type	Field	Description
GeneType[]	genes

Constructor Summary

Constructors

Constructor	Description
BasicIndividual(Class<GeneType> gene, Integer dimension)	Initializes the parameters

Method Summary

Modifier and Type	Method	Description
double	getFitness()	This method returns the fitness value of the individual.
abstract int	numSelectedFeatures()	This method returns the number of selected features by the individual based on its gene vector.
abstract int[]	selectedFeaturesSubset()	This method returns the indices of selected features by the individual based on its gene vector.
void	setFitness(double fitness)	This method sets the fitness value of the individual.

Methods inherited from class java.lang.Object

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

Field Details

genes

public GeneType[] genes

Constructor Details

BasicIndividual

public BasicIndividual(Class<GeneType> gene,
 Integer dimension)

Initializes the parameters

Parameters:

gene - the type of genes of each individual

dimension - the dimension of problem which equals to total number of features in the dataset

Method Details

numSelectedFeatures

public abstract int numSelectedFeatures()

This method returns the number of selected features by the individual based on its gene vector.

Returns:

number of selected features by the individual

selectedFeaturesSubset

public abstract int[] selectedFeaturesSubset()

This method returns the indices of selected features by the individual based on its gene vector.

Returns:

the array of indices of the selected features by the individual

getFitness

public double getFitness()

This method returns the fitness value of the individual.

Returns:

the fitness value of the individual

setFitness

public void setFitness(double fitness)

This method sets the fitness value of the individual.

Parameters:

fitness - the fitness value of the individual