keel.Algorithms.Genetic_Rule_Learning.Hider

Class Evolucion

java.lang.Object

keel.Algorithms.Genetic_Rule_Learning.Hider.Evolucion

public class Evolucion
extends java.lang.Object

Author:

Sebas

Constructor Summary

Constructors

Constructor and Description
Evolucion(java.util.Vector basec, double probMut, java.lang.String filename) Constructor

Method Summary

Modifier and Type	Method and Description
java.util.Vector	algoritEvol(int nIndPobIni, int nGenerac, double crossPerc, java.util.Vector cortes, java.util.Vector rangos, double fp) Implements Evolutionary Learning
double	cobertura(java.util.Vector regla, java.util.Vector rangos, java.util.Vector cortes)
static int[]	cruza(int n, int m, int k) Continuous cross
static java.util.Vector[]	cruza(java.util.Vector padre, java.util.Vector madre, java.util.Vector cortes)
static int	de(int n, int k) Right
static int	de(int n, int k, int m) Right
void	evaluacion(java.util.Vector rangos, java.util.Vector cortes, double fp)
java.util.Vector	getBc()
double	getCep()
java.util.Vector	getErroresClase()
Entero[]	getErroresClase(int i)
java.lang.String	getFuncionEvaluacionXmlFileName()
double	getProbMutacion()
double	getProbMutExtremo()
static void	imprime(java.util.Vector v, java.lang.String titulo)
static int	in(int n, int k) Down
static int	in(int n, int k, int m) Down
static java.util.Vector	inicializaPoblacion(int individuosIniciales, java.util.Vector baseCodificada, java.util.Vector cortes)
static int	iz(int n, int k) Left
static int	iz(int n, int k, int m) Left
static int	lde(int n, int k) Right limit
static int	lin(int n, int k) Lower limit
static int	liz(int n, int k) Left limit
static int	lsu(int n, int k) Upper limit
void	reemplazo(java.util.Vector cortes, double por100Cruces, int numIndSigGen) Build the next generation
void	setBc(java.util.Vector bc)
void	setCep(double cep)
void	setErroresClase(java.util.Vector erroresClase)
void	setFuncionEvaluacionXmlFileName(java.lang.String funcionEvaluacionXmlFileName)
void	setProbMutacion(double probMutacion)
void	setProbMutExtremo(double probMutExtremo)
static int	su(int n, int k) Up
static int	su(int n, int k, int m) Up

Methods inherited from class java.lang.Object

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

Constructor Detail

Evolucion

public Evolucion(java.util.Vector basec,
                 double probMut,
                 java.lang.String filename)

Constructor

Parameters:

basec -

probMut -

filename -

Method Detail

liz

public static int liz(int n,
                      int k)

Left limit

Parameters:

n -

k -

Returns:

The left limit

lde

public static int lde(int n,
                      int k)

Right limit

Parameters:

n -

k -

Returns:

The right limit

lsu

public static int lsu(int n,
                      int k)

Upper limit

Parameters:

n -

k -

Returns:

The up limit

lin

public static int lin(int n,
                      int k)

Lower limit

Parameters:

n -

k -

Returns:

The down limit

iz

public static int iz(int n,
                     int k)

Left

Parameters:

n -

k -

Returns:

The number at the left

de

public static int de(int n,
                     int k)

Right

Parameters:

n -

k -

Returns:

The number at the right

su

public static int su(int n,
                     int k)

Up

Parameters:

n -

k -

Returns:

The number upper

in

public static int in(int n,
                     int k)

Down

Parameters:

n -

k -

Returns:

The number below

iz

public static int iz(int n,
                     int k,
                     int m)

Left

Parameters:

n -

k -

m -

Returns:

The number 'm' positions at the left

de

public static int de(int n,
                     int k,
                     int m)

Right

Parameters:

n -

k -

m -

Returns:

The number 'm' positions at the right

su

public static int su(int n,
                     int k,
                     int m)

Up

Parameters:

n -

k -

m -

Returns:

The number 'm' positions upper

in

public static int in(int n,
                     int k,
                     int m)

Down

Parameters:

n -

k -

m -

Returns:

The number below 'm' positions

cruza

public static java.util.Vector[] cruza(java.util.Vector padre,
                                       java.util.Vector madre,
                                       java.util.Vector cortes)

Parameters:

padre -

madre -

cortes -

Returns:

Crossed children

cruza

public static int[] cruza(int n,
                          int m,
                          int k)

Continuous cross

Parameters:

n -

m -

k -

Returns:

Children gens

inicializaPoblacion

public static java.util.Vector inicializaPoblacion(int individuosIniciales,
                                                   java.util.Vector baseCodificada,
                                                   java.util.Vector cortes)

Parameters:

individuosIniciales -

baseCodificada -

cortes -

Returns:

poblacionInicial

algoritEvol

public java.util.Vector algoritEvol(int nIndPobIni,
                                    int nGenerac,
                                    double crossPerc,
                                    java.util.Vector cortes,
                                    java.util.Vector rangos,
                                    double fp)
                             throws java.lang.Exception

Implements Evolutionary Learning

Parameters:

nIndPobIni -

nGenerac -

crossPerc -

cortes -

rangos -

fp -

Returns:

Best rule

Throws:

java.lang.Exception

evaluacion

public void evaluacion(java.util.Vector rangos,
                       java.util.Vector cortes,
                       double fp)
                throws java.lang.Exception

Parameters:

rangos -

cortes -

fp -

Throws:

java.lang.Exception

reemplazo

public void reemplazo(java.util.Vector cortes,
                      double por100Cruces,
                      int numIndSigGen)

Build the next generation

Parameters:

cortes -

por100Cruces -

numIndSigGen -

imprime

public static void imprime(java.util.Vector v,
                           java.lang.String titulo)

Parameters:

v -

titulo -

cobertura

public double cobertura(java.util.Vector regla,
                        java.util.Vector rangos,
                        java.util.Vector cortes)

Parameters:

regla -

rangos -

cortes -

Returns:

Cover coefficient

getBc

public java.util.Vector getBc()

Returns:

Returns the bc.

setBc

public void setBc(java.util.Vector bc)

Parameters:

bc - The bc to set.

getProbMutacion

public double getProbMutacion()

Returns:

Returns the probMutacion.

setProbMutacion

public void setProbMutacion(double probMutacion)

Parameters:

probMutacion - The probMutacion to set.

getProbMutExtremo

public double getProbMutExtremo()

Returns:

Returns the probMutExtremo.

setProbMutExtremo

public void setProbMutExtremo(double probMutExtremo)

Parameters:

probMutExtremo - The probMutExtremo to set.

getErroresClase

public java.util.Vector getErroresClase()

Returns:

Returns the erroresClase.

setErroresClase

public void setErroresClase(java.util.Vector erroresClase)

Parameters:

erroresClase - The erroresClase to set.

getErroresClase

public Entero[] getErroresClase(int i)

Parameters:

i -

Returns:

Returns the erroresClase.

getCep

public double getCep()

Returns:

Returns the cep.

setCep

public void setCep(double cep)

Parameters:

cep - The cep to set.

getFuncionEvaluacionXmlFileName

public java.lang.String getFuncionEvaluacionXmlFileName()

Returns:

Returns the funcionEvaluacionXmlFileName.

setFuncionEvaluacionXmlFileName

public void setFuncionEvaluacionXmlFileName(java.lang.String funcionEvaluacionXmlFileName)

Parameters:

funcionEvaluacionXmlFileName - The funcionEvaluacionXmlFileName to set.