keel.Algorithms.Instance_Selection.GA_MSE_CC_FSM

Class Cromosoma

java.lang.Object

keel.Algorithms.Instance_Selection.GA_MSE_CC_FSM.Cromosoma

All Implemented Interfaces:

java.lang.Comparable

public class Cromosoma
extends java.lang.Object
implements java.lang.Comparable

Author:

sergio

Constructor Summary

Constructors

Constructor and Description
Cromosoma(int size)
Cromosoma(int size, int nClases, double[][] datosTrain, double[][] realTrain, int[][] nominalTrain, boolean[][] nulosTrain, int[] clasesTrain, int kNeigh, boolean distanceEu) Construct a random chromosome of specified size and evaluate it.

Method Summary

Modifier and Type	Method and Description
void	borrar() Marks a chromosome for deletion
int	compareTo(java.lang.Object o1)
int	differenceAtOne(Cromosoma a) Test if two chromosome differ in only one gene.
boolean	estaEvaluado() Tests if the chromosome is already evaluated
boolean	esValido()
void	evalua(int[] clases, int kNeigh, int nClases) Function that evaluates a chromosome
int	genesActivos()
double	getCalidad() Get the quality of a chromosome
boolean	getGen(int indice) Get the value of a gene
void	mutacion(int nClus, int[] clusters, int size, int nClases, double[][] datosTrain, double[][] realTrain, int[][] nominalTrain, boolean[][] nulosTrain, int[] clasesTrain, int kNeigh, boolean distanceEu) Function that does the mutation
void	prepare(int size, int nClases, double[][] datosTrain, double[][] realTrain, int[][] nominalTrain, boolean[][] nulosTrain, int[] clasesTrain, int kNeigh, boolean distanceEu) Construct a random chromosome of specified size and it is prepared to be evaluated.
void	setGen(int indice, boolean valor) Set the value of a gene
java.lang.String	toString()

Methods inherited from class java.lang.Object

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

Constructor Detail

Cromosoma

public Cromosoma(int size,
                 int nClases,
                 double[][] datosTrain,
                 double[][] realTrain,
                 int[][] nominalTrain,
                 boolean[][] nulosTrain,
                 int[] clasesTrain,
                 int kNeigh,
                 boolean distanceEu)

Construct a random chromosome of specified size and evaluate it.

Parameters:

size - Size of the chromosome

nClases - Number of classes of the problem

datosTrain - Reference to the training set

realTrain - Reference to the training set (real valued)

nominalTrain - Reference to the training set (nominal valued)

nulosTrain - Reference to the training set (null values)

clasesTrain - Output attribute of each instance

kNeigh - Number of neighbors for the KNN algorithm

distanceEu - True= Euclidean distance; False= HVDM

Cromosoma

public Cromosoma(int size)

Parameters:

size -

Method Detail

getGen

public boolean getGen(int indice)

Get the value of a gene

Parameters:

indice - Index of the gene

Returns:

Value of the especified gene

getCalidad

public double getCalidad()

Get the quality of a chromosome

Returns:

Quality of the chromosome

setGen

public void setGen(int indice,
                   boolean valor)

Set the value of a gene

Parameters:

indice - Index of the gene

valor - Value to set

prepare

public void prepare(int size,
                    int nClases,
                    double[][] datosTrain,
                    double[][] realTrain,
                    int[][] nominalTrain,
                    boolean[][] nulosTrain,
                    int[] clasesTrain,
                    int kNeigh,
                    boolean distanceEu)

Construct a random chromosome of specified size and it is prepared to be evaluated.

Parameters:

size - Size of the chromosome

nClases - Number of classes of the problem

datosTrain - Reference to the training set

realTrain - Reference to the training set (real valued)

nominalTrain - Reference to the training set (nominal valued)

nulosTrain - Reference to the training set (null values)

clasesTrain - Output attribute of each instance

kNeigh - Number of neighbors for the KNN algorithm

distanceEu - True= Euclidean distance; False= HVDM

evalua

public void evalua(int[] clases,
                   int kNeigh,
                   int nClases)

Function that evaluates a chromosome

Parameters:

clases - Output attribute of each instance

kNeigh - Number of neighbors for the KNN algorithm

nClases - Number of classes of the problem

mutacion

public void mutacion(int nClus,
                     int[] clusters,
                     int size,
                     int nClases,
                     double[][] datosTrain,
                     double[][] realTrain,
                     int[][] nominalTrain,
                     boolean[][] nulosTrain,
                     int[] clasesTrain,
                     int kNeigh,
                     boolean distanceEu)

Function that does the mutation

Parameters:

nClus - cluster considered to mutate.

clusters - clusters information.

size - number of clusters

nClases - Number of classes of the problem

datosTrain - Reference to the training set

realTrain - Reference to the training set (real valued)

nominalTrain - Reference to the training set (nominal valued)

nulosTrain - Reference to the training set (null values)

clasesTrain - Output attribute of each instance

kNeigh - Number of neighbors for the KNN algorithm

distanceEu - True= Euclidean distance; False= HVDM

estaEvaluado

public boolean estaEvaluado()

Tests if the chromosome is already evaluated

Returns:

True if the chromosome is already evaluated. False, if not.

genesActivos

public int genesActivos()

Returns:

esValido

public boolean esValido()

Returns:

borrar

public void borrar()

Marks a chromosome for deletion

compareTo

public int compareTo(java.lang.Object o1)

Specified by:

compareTo in interface java.lang.Comparable

Parameters:

o1 -

Returns:

differenceAtOne

public int differenceAtOne(Cromosoma a)

Test if two chromosome differ in only one gene. Function that inform about if a cromosome is different only in a bit, obtain the position of this bit. In case of have more differences, it returns -1

Parameters:

a - Chromosome to compare

Returns:

Position of the difference, if only one is found. Otherwise, -1

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

Returns: