keel.Algorithms.ImbalancedClassification.ImbalancedAlgorithms.GP_COACH_H

Class CHC_Chromosome

java.lang.Object

keel.Algorithms.ImbalancedClassification.ImbalancedAlgorithms.GP_COACH_H.CHC_Chromosome

All Implemented Interfaces:

java.lang.Comparable

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

Title: CHC_RuleBase

Description: Chromosome that represents a modified data base and rule base used in the CHC algorithm

Company: KEEL

Since:

JDK1.5

Version:

1.5

Author:

Written by Victoria Lopez (University of Granada) 14/06/2011

Field Summary

Fields

Modifier and Type	Field and Description
static double	MAX_LATERAL_TUNING Maximum lateral tuning.
static double	MIN_LATERAL_TUNING Minimum lateral tuning.

Constructor Summary

Constructors

Constructor and Description
CHC_Chromosome() Default constructor
CHC_Chromosome(boolean[] data_rules, double[] data_tuning) Creates a CHC chromosome from a boolean array representing a chromosome
CHC_Chromosome(CHC_Chromosome orig) Creates a CHC chromosome from another chromosome (copies a chromosome)
CHC_Chromosome(int size_rules, boolean value_rules, int size_tuning, double value_tuning) Creates a CHC_Chromosome of specified size with all its elements set to the specified value
CHC_Chromosome(int size_rule, int size_tuning) Creates a random CHC_Chromosome of specified size

Method Summary

Modifier and Type	Method and Description
int	compareTo(java.lang.Object aThat) Compares this object with the specified object for order, according to the fitness measure
java.util.ArrayList<CHC_Chromosome>	createDescendants(CHC_Chromosome ch_b) Obtains a new pair of CHC_chromosome from this chromosome and another chromosome, swapping half the differing bits at random
void	evaluate(myDataset dataset, java.util.ArrayList<Rule> rule_population, GP_COACH_H gp_coach_obj, boolean has_low, boolean has_high, int labels_low, int labels_high, double alpha) Evaluates this chromosome, computing the fitness of the rule and the weight.
double	getFitness() Obtains the fitness associated to this CHC_Chromosome, its fitness measure
int	hammingDistance(CHC_Chromosome ch_b, int bitsgen) Obtains the Hamming distance between this and another chromosome
boolean	not_eval() Checks if the current chromosome has been evaluated or not.
double[]	obtainLateralTuning() Obtains the lateral tuning of the data base associated to the current chromosome
boolean[]	obtainSelectedRules() Obtains the selected rules of the rule base associated to the current chromosome

Methods inherited from class java.lang.Object

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

Field Detail

MIN_LATERAL_TUNING

public static final double MIN_LATERAL_TUNING

Minimum lateral tuning.

See Also:

Constant Field Values

MAX_LATERAL_TUNING

public static final double MAX_LATERAL_TUNING

Maximum lateral tuning.

See Also:

Constant Field Values

Constructor Detail

CHC_Chromosome

public CHC_Chromosome()

Default constructor

CHC_Chromosome

public CHC_Chromosome(CHC_Chromosome orig)

Creates a CHC chromosome from another chromosome (copies a chromosome)

Parameters:

orig - Original chromosome that is going to be copied

CHC_Chromosome

public CHC_Chromosome(int size_rule,
                      int size_tuning)

Creates a random CHC_Chromosome of specified size

Parameters:

size_rule - Size of the new chromosome considering the number of rules in the rule base

size_tuning - Size of the new chromosome considering the number fuzzy labels in the data base

CHC_Chromosome

public CHC_Chromosome(int size_rules,
                      boolean value_rules,
                      int size_tuning,
                      double value_tuning)

Creates a CHC_Chromosome of specified size with all its elements set to the specified value

Parameters:

size_rules - Size of the rule part of the new chromosome

value_rules - Value that all elements of the rule part of the chromosome are going to have

size_tuning - Size of the tuning part of the new chromosome

value_tuning - Value that all elements of the tuning part of the chromosome are going to have

CHC_Chromosome

public CHC_Chromosome(boolean[] data_rules,
                      double[] data_tuning)

Creates a CHC chromosome from a boolean array representing a chromosome

Parameters:

data_rules - boolean array representing the rule part of a chromosome

data_tuning - boolean array representing the tuning part of a chromosome

Method Detail

not_eval

public boolean not_eval()

Checks if the current chromosome has been evaluated or not.

Returns:

true, if this chromosome was evaluated previously; false, if it has never been evaluated

evaluate

public void evaluate(myDataset dataset,
                     java.util.ArrayList<Rule> rule_population,
                     GP_COACH_H gp_coach_obj,
                     boolean has_low,
                     boolean has_high,
                     int labels_low,
                     int labels_high,
                     double alpha)

Evaluates this chromosome, computing the fitness of the rule and the weight. It also initializes the token structure for the token competition computation

Parameters:

dataset - Training dataset used in this algorithm

rule_population - Rule population that is selected by the CHC chromosome

gp_coach_obj - GP-COACH-H object that we will use to train an element in the training set with our rules

has_low - true, if the associated rule base contains low granularity rules; false otherwise

has_high - true, if the associated rule base contains high granularity rules; false otherwise

labels_low - Number of fuzzy labels in low granularity rules

labels_high - Number of fuzzy labels in high granularity rules

alpha - Alpha of the raw_fitness evaluation function

getFitness

public double getFitness()

Obtains the fitness associated to this CHC_Chromosome, its fitness measure

Returns:

the fitness associated to this CHC_Chromosome

hammingDistance

public int hammingDistance(CHC_Chromosome ch_b,
                           int bitsgen)

Obtains the Hamming distance between this and another chromosome

Parameters:

ch_b - Other chromosome that we want to compute the Hamming distance to

bitsgen - Number of bits per gen in the gray codification

Returns:

the Hamming distance between this and another chromosome

createDescendants

public java.util.ArrayList<CHC_Chromosome> createDescendants(CHC_Chromosome ch_b)

Obtains a new pair of CHC_chromosome from this chromosome and another chromosome, swapping half the differing bits at random

Parameters:

ch_b - Other chromosome that we want to use to create another chromosome

Returns:

a new pair of CHC_chromosome from this chromosome and the given chromosome

obtainSelectedRules

public boolean[] obtainSelectedRules()

Obtains the selected rules of the rule base associated to the current chromosome

Returns:

boolean array codifying the selected rules of the rule base associated to the current chromosome

obtainLateralTuning

public double[] obtainLateralTuning()

Obtains the lateral tuning of the data base associated to the current chromosome

Returns:

real array codifying the lateral tuning of the data base associated to the current chromosome

compareTo

public int compareTo(java.lang.Object aThat)

Compares this object with the specified object for order, according to the fitness measure

Specified by:

compareTo in interface java.lang.Comparable

Parameters:

aThat - object to compare with.

Returns:

a negative integer, zero, or a positive integer as this object is less than, equal to, or greater than the specified object