keel.Algorithms.Preprocess.Instance_Selection.IGA

Class IGA

java.lang.Object

keel.Algorithms.Preprocess.Basic.Metodo

keel.Algorithms.Preprocess.Instance_Selection.IGA.IGA

public class IGA
extends Metodo

File: IGA.java The IGA Instance Selection algorithm.

Since:

JDK1.5

Version:

0.1

Author:

Written by Salvador García (University of Granada) 20/07/2004

Field Summary

Fields inherited from class keel.Algorithms.Preprocess.Basic.Metodo

clasesTest, clasesTrain, datosTest, datosTrain, distanceEu, entradas, ficheroSalida, ficheroTest, ficheroTraining, ficheroValidation, nEntradas, nominalDistance, nominalTrain, nulosTrain, realTest, realTrain, relation, salida, stdDev, test, training

Constructor Summary

Constructors

Constructor and Description
IGA(java.lang.String ficheroScript) Default constructor.

Method Summary

Modifier and Type	Method and Description
int	cruceOrtogonal(Cromosoma[] poblacion, Cromosoma[] newPob, int sel1, int sel2, int pos, int nEv, int nEval, int nClases) Function that implements the uniform crossover between two selected cromosomes
void	ejecutar() Executes the algorithm
void	leerConfiguracion(java.lang.String ficheroScript) Reads the parameters of the algorithm.

Methods inherited from class keel.Algorithms.Preprocess.Basic.Metodo

normalizar

Methods inherited from class java.lang.Object

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

Constructor Detail

IGA

public IGA(java.lang.String ficheroScript)

Default constructor. Construct the algoritm by using the superclass builder.

Parameters:

ficheroScript - Configuration script

Method Detail

ejecutar

public void ejecutar()

Executes the algorithm

cruceOrtogonal

public int cruceOrtogonal(Cromosoma[] poblacion,
                          Cromosoma[] newPob,
                          int sel1,
                          int sel2,
                          int pos,
                          int nEv,
                          int nEval,
                          int nClases)

Function that implements the uniform crossover between two selected cromosomes

Parameters:

poblacion - Population of chromosomes

newPob - New population

sel1 - First parent

sel2 - Second parent

pos - Position of the chromosomes in the new population

nEv - actual number of evaluations

nEval - limited number of evalutations

nClases - number of classes

Returns:

number of evaluations done during the execution of the function.

leerConfiguracion

public void leerConfiguracion(java.lang.String ficheroScript)

Description copied from class: Metodo

Reads the parameters of the algorithm. Must be implemented in the subclass.

Overrides:

leerConfiguracion in class Metodo

Parameters:

ficheroScript - Configuration script