keel.Algorithms.Fuzzy_Rule_Learning.Genetic.Shared.Genotypes

Class GenotypePitts

java.lang.Object

keel.Algorithms.Fuzzy_Rule_Learning.Genetic.Shared.Genotypes.Genotype

keel.Algorithms.Fuzzy_Rule_Learning.Genetic.Shared.Genotypes.GenotypePitts

public class GenotypePitts
extends Genotype

GenotypePitts is the base clase to represent the genotype when a fuzzy model is to be learned with the genetic algorithm and the Pittsburg approach.

Since:

JDK1.4

Version:

1.0

Author:

Written by Luciano Sanchez (University of Oviedo) 20/01/2004, Modified by J.R. Villar (University of Oviedo) 18/12/2008

Field Summary

Fields inherited from class keel.Algorithms.Fuzzy_Rule_Learning.Genetic.Shared.Genotypes.Genotype

rand

Constructor Summary

Constructors

Constructor and Description
GenotypePitts(GenotypePitts p) The copy constructor.
GenotypePitts(int n, int nlabels, Randomize r) Class constructor with the following parameters:

Method Summary

Modifier and Type	Method and Description
Genotype	clone() This method is intended for generating a perfect copy of the current Genotype.
void	crossover(Genotype padre2, Genotype offspng1, Genotype offspng2, int crossoverID) The method for carrying out the crossover genetic operations.
void	debug() This method is intended for printing debug information.
int	getInvolvedRule(int n) This method returns a rule in the rule base.
double	getRuleWeight(int n) This method returns the weight of a rule
boolean	isRelated(Genotype p) This method determines if the given Genotype is of the same type thant the current object.
void	mutation(double alpha, int mutationID) Method for carrying out the mutation genetic operations.
void	Random() The method intended to randomly initialize a Genotype and then the corresponding individual.
void	set(GenotypePitts p) This method copies the given parameter into the current object.
void	setInvolvedRule(int n, int v) This method updates the rule base.
void	setRuleWeight(int n, double v) This method updates the weight of a rule.
int	size() This method returns the number of rules of the FRBS

Methods inherited from class java.lang.Object

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

Constructor Detail

GenotypePitts

public GenotypePitts(int n,
                     int nlabels,
                     Randomize r)

Class constructor with the following parameters:

Parameters:

n - the number of alleles

nlabels - the number of output available labels

r - the Randomize object

GenotypePitts

public GenotypePitts(GenotypePitts p)

The copy constructor.

Parameters:

p - the GenotypePitts to be copied

Method Detail

set

public void set(GenotypePitts p)

This method copies the given parameter into the current object.

Parameters:

p - the GenotypePitts to be copied

clone

public Genotype clone()

This method is intended for generating a perfect copy of the current Genotype.

Specified by:

clone in class Genotype

Returns:

the newly created Genotype which is a perfect copy of current individual

isRelated

public boolean isRelated(Genotype p)

This method determines if the given Genotype is of the same type thant the current object.

Specified by:

isRelated in class Genotype

Parameters:

p - the Genotype to be compared

Returns:

true if both objects are related

Random

public void Random()

The method intended to randomly initialize a Genotype and then the corresponding individual.

Specified by:

Random in class Genotype

crossover

public void crossover(Genotype padre2,
                      Genotype offspng1,
                      Genotype offspng2,
                      int crossoverID)
               throws invalidCrossover

The method for carrying out the crossover genetic operations.

Specified by:

crossover in class Genotype

Parameters:

padre2 - the second parent in the crossover operation, it's an Genotype object

offspng1 - the Genotype object with the first offspring

offspng2 - the Genotype object with the second offspring

crossoverID - an int with the crossover operation to be carried out: OperatorIdent.CRUCEGENERICO for genetic algorithm crossover

Throws:

invalidCrossover - if crossoverID is not valid

mutation

public void mutation(double alpha,
                     int mutationID)
              throws invalidMutation

Method for carrying out the mutation genetic operations.

Specified by:

mutation in class Genotype

Parameters:

alpha - double value kept for compatibility, not used.

mutationID - an int with the crossover operation to be carried out: OperatorIdent.MUTACIONGENERICA for the genetic algorithm mutation

Throws:

invalidMutation - if mutationID is not valid

debug

public void debug()

This method is intended for printing debug information.

Specified by:

debug in class Genotype

getInvolvedRule

public int getInvolvedRule(int n)

This method returns a rule in the rule base.

Parameters:

n - index of the desired rule

Returns:

the int value indexin the used rule in the rule base

setInvolvedRule

public void setInvolvedRule(int n,
                            int v)

This method updates the rule base.

Parameters:

n - the index of the rule in the FRBS to update

v - the new rule, an int value

getRuleWeight

public double getRuleWeight(int n)

This method returns the weight of a rule

Parameters:

n - the index of the rule which weight is desired

Returns:

the dobule value with the corresponding weigth

setRuleWeight

public void setRuleWeight(int n,
                          double v)

This method updates the weight of a rule.

Parameters:

n - the index of the rule to update

v - the double value to fix in the corresponding weight

size

public int size()

This method returns the number of rules of the FRBS

Returns:

the int with the size of the rule base