Package unifeat.featureSelection.wrapper.GABasedMethods.HGAFS

Class Individual

java.lang.Object

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

unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Individual

public class Individual
extends BasicIndividual<Boolean>

This java class is used to represent an individual in simple genetic algorithm (Simple GA) method in which the type of gene vector is boolean.

Author:

Sina Tabakhi

See Also:

• BasicIndividual

Field Summary

Fields inherited from class unifeat.featureSelection.wrapper.GABasedMethods.BasicIndividual

genes

Constructor Summary

Constructors

Constructor	Description
Individual(int dimension)	Initializes the parameters

Method Summary

Modifier and Type	Method	Description
int	numSelectedFeatures()	This method returns the number of selected features by the individual based on its gene vector.
int[]	selectedFeaturesSubset()	This method returns the indices of selected features by the individual based on its gene vector.

Methods inherited from class unifeat.featureSelection.wrapper.GABasedMethods.BasicIndividual

getFitness, setFitness

Methods inherited from class java.lang.Object

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

Constructor Details

Individual

public Individual(int dimension)

Initializes the parameters

Parameters:

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

Method Details

numSelectedFeatures

public int numSelectedFeatures()

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

Specified by:

numSelectedFeatures in class BasicIndividual<Boolean>

Returns:

number of selected features by the individual

selectedFeaturesSubset

public int[] selectedFeaturesSubset()

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

Specified by:

selectedFeaturesSubset in class BasicIndividual<Boolean>

Returns:

the array of indices of the selected features by the individual