keel.Algorithms.Fuzzy_Rule_Learning.Genetic.Shared.Genotypes

Class GenotypeFuzzyGPRegSym

java.lang.Object

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

keel.Algorithms.Fuzzy_Rule_Learning.Genetic.Shared.Genotypes.GenotypeFuzzyGPRegSym

public class GenotypeFuzzyGPRegSym
extends Genotype

GenotypeFuzzyGPRegSym is the base clase to represent the genotype when a fuzzy model symbolic regression is to be learned with the genetic programming (GP). Both the constants and the tree node are learned. The Fuzzy model variables are characterized with FuzzyPartitions. The root node is a NodeExprHold.

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
GenotypeFuzzyGPRegSym(double kmin, double kmax, int pNInputs, int cteType, int vChainLength, int mh, Randomize r) Class constructor with the following parameters:
GenotypeFuzzyGPRegSym(GenotypeFuzzyGPRegSym p) The copy constructor.

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 p2, Genotype p3, Genotype p4, int crossoverID) The method for carrying out the crossover genetic operations.
void	debug() This method is intended for printing debug information.
double[]	getChainValue() This method returns the centre of weights of the vector fsChain.
int	getNumInputs() Returns the number of inputs
Node	getRootNode() This method returns the root node.
boolean[]	getUsedConstants() This method returns the list of used constants.
boolean	isRelated(Genotype g) This method determines if the given Genotype is of the same type thant the current object.
void	mutation(double AMPL, 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	rebuild(Genotype g) This method is intended to rebuild the current object if needed.
void	setChain(double[] x) This method sets the fsChain with the given array value
void	setTree(GenotypeFuzzyGPRegSym p) This method copies the given parameter into the current object.

Methods inherited from class java.lang.Object

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

Constructor Detail

GenotypeFuzzyGPRegSym

public GenotypeFuzzyGPRegSym(double kmin,
                             double kmax,
                             int pNInputs,
                             int cteType,
                             int vChainLength,
                             int mh,
                             Randomize r)

Class constructor with the following parameters:

Parameters:

kmin - the minimum double value for each constant

kmax - the maximum double value for each constant

pNInputs - the number of input variables

cteType - the type of value used: FuzzyRegressor.Crisp for crisp values, FuzzyRegressor.Interval for interval values and FuzzyRegressor.Fuzzy for fuzzy values

vChainLength - the length of the FuzzyAlphaCutarray

mh - the maximum valid tree height

r - the Randomize object

GenotypeFuzzyGPRegSym

public GenotypeFuzzyGPRegSym(GenotypeFuzzyGPRegSym p)

The copy constructor.

Parameters:

p - the GenotypeFuzzyGPRegSym to be copied

Method Detail

setTree

public void setTree(GenotypeFuzzyGPRegSym p)

This method copies the given parameter into the current object.

Parameters:

p - the GenotypeFuzzyGPRegSym to be copied

isRelated

public boolean isRelated(Genotype g)

This method determines if the given Genotype is of the same type thant the current object. The nodes are analyzed to be the same tree without considering the constants values.

Specified by:

isRelated in class Genotype

Parameters:

g - the Genotype to be compared

Returns:

true if both objects are related

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

rebuild

public void rebuild(Genotype g)

This method is intended to rebuild the current object if needed. In this case, nothing has to be done.

Parameters:

g - the Genotype to rebuild.

getNumInputs

public int getNumInputs()

Returns the number of inputs

Returns:

the number of inputs

mutation

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

Method for carrying out the mutation genetic operations.

Specified by:

mutation in class Genotype

Parameters:

AMPL - double value kept for compatibility, not used.

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

Throws:

invalidMutation - if mutationID is not valid

crossover

public void crossover(Genotype p2,
                      Genotype p3,
                      Genotype p4,
                      int crossoverID)
               throws invalidCrossover

The method for carrying out the crossover genetic operations.

Specified by:

crossover in class Genotype

Parameters:

p2 - the second parent in the crossover operation, it's an Genotype object

p3 - the Genotype object with the first offspring

p4 - the Genotype object with the second offspring

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

Throws:

invalidCrossover - if crossoverID is not valid

Random

public void Random()

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

Specified by:

Random in class Genotype

debug

public void debug()

This method is intended for printing debug information.

Specified by:

debug in class Genotype

getRootNode

public Node getRootNode()

This method returns the root node.

Returns:

the root Node

getChainValue

public double[] getChainValue()

This method returns the centre of weights of the vector fsChain.

Returns:

the double value array

getUsedConstants

public boolean[] getUsedConstants()

This method returns the list of used constants.

Returns:

a boolean array with tre/false for each constants

setChain

public void setChain(double[] x)

This method sets the fsChain with the given array value

Parameters:

x - the new double array for the fsChain