keel.Algorithms.Associative_Classification.ClassifierFuzzyFARCHD

Class Individual

java.lang.Object

keel.Algorithms.Associative_Classification.ClassifierFuzzyFARCHD.Individual

All Implemented Interfaces:

java.lang.Comparable

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

Title: Individual

Description: This class contains the representation of the individuals of the population (CHC Algorithm)

Copyright: Copyright KEEL (c) 2007

Company: KEEL

Since:

JDK1.6

Version:

1.0

Author:

Written by Jesus Alcalá (University of Granada) 09/02/2011

Constructor Summary

Constructors

Constructor and Description
Individual() Default constructor.
Individual(RuleBase ruleBase, DataBase dataBase, double w1) Builder

Method Summary

Modifier and Type	Method and Description
Individual	clone() Clone
int	compareTo(java.lang.Object a)
int	distHamming(Individual ind, int BITS_GEN) Computes the Hamming distance with the Individual given as a argument.
void	evaluate() Evaluate this individual (fitness function)
RuleBase	generateRB() Generates the Rule Base with adjusted to the optimization done.
double	getAccuracy() Function to return the accuracy of the individual
double	getFitness() Function to return the fitness of the individual
int	getnSelected() Returns the number of genes selected.
void	Hux(Individual indiv) Crosses the individuals using the HUX operator.
boolean	isNew() Function to return if this individual is new in the population
void	offNew() Modifies the new flag to false.
void	onNew() Modifies the new flag to true.
void	randomValues() Initialization of the individual with random values.
void	reset() Resets the gene with the same value.
void	setw1(double value) Sets the value of w1 with the given argument.
int	size() It returns the number of rules in the rule base
void	xPC_BLX(Individual indiv, double d) Crosses the individuals using the BLX operator.

Methods inherited from class java.lang.Object

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

Constructor Detail

Individual

public Individual()

Default constructor. None attribute will be initialized.

Individual

public Individual(RuleBase ruleBase,
                  DataBase dataBase,
                  double w1)

Builder

Parameters:

ruleBase - Rule set

dataBase - Database

w1 - Weight for the fitness function

Method Detail

clone

public Individual clone()

Clone

Overrides:

clone in class java.lang.Object

Returns:

A copy of the individual

reset

public void reset()

Resets the gene with the same value.

randomValues

public void randomValues()

Initialization of the individual with random values.

size

public int size()

It returns the number of rules in the rule base

Returns:

int Rule base's size

getnSelected

public int getnSelected()

Returns the number of genes selected.

Returns:

the number of genes selected.

isNew

public boolean isNew()

Function to return if this individual is new in the population

Returns:

boolean true = it is-, false = it isn't

onNew

public void onNew()

Modifies the new flag to true.

offNew

public void offNew()

Modifies the new flag to false.

setw1

public void setw1(double value)

Sets the value of w1 with the given argument.

Parameters:

value - value given to set w1.

getAccuracy

public double getAccuracy()

Function to return the accuracy of the individual

Returns:

double The accuracy of the individual

getFitness

public double getFitness()

Function to return the fitness of the individual

Returns:

double The fitness of the individual

distHamming

public int distHamming(Individual ind,
                       int BITS_GEN)

Computes the Hamming distance with the Individual given as a argument. In case a transformation from float representation to string is needed, the argument BITS_GEN will guide the process.

Parameters:

ind - Individual given to compute the distance.

BITS_GEN - Number of bits to guide the transformation of representation.

Returns:

Hamming distance with the Individual given.

Hux

public void Hux(Individual indiv)

Crosses the individuals using the HUX operator. Exactly half of the different bits are flipped. The results are stored in each Individual object, the method caller and the argument.

Parameters:

indiv - Individual to cross with.

xPC_BLX

public void xPC_BLX(Individual indiv,
                    double d)

Crosses the individuals using the BLX operator. The results are stored in each Individual object, the method caller and the argument.

Parameters:

indiv - Individual to cross with.

d - proportion of the diference of each gene that BLX will allow to exceed.

generateRB

public RuleBase generateRB()

Generates the Rule Base with adjusted to the optimization done.

Returns:

RuleBase The whole FARCHD rule set

evaluate

public void evaluate()

Evaluate this individual (fitness function)

compareTo

public int compareTo(java.lang.Object a)

Specified by:

compareTo in interface java.lang.Comparable