keel.Algorithms.Fuzzy_Rule_Learning.Genetic.Fuzzy_Ish_Hybrid

Class Population

java.lang.Object

keel.Algorithms.Fuzzy_Rule_Learning.Genetic.Fuzzy_Ish_Hybrid.Population

public class Population
extends java.lang.Object

Title: Populatoin

Description: This class contains the population for the genetic algorithm

Copyright: KEEL Copyright (c) 2008

Company: KEEL

Since:

JDK1.5

Version:

1.2

Author:

Written by Alberto Fernández (University of Granada) 29/10/2007, Modified by Alberto Fernández (University of Granada) 18/12/2008

Constructor Summary

Constructors

Constructor and Description
Population() Default Constructor
Population(myDataset train, DataBase dataBase, int size, int nRules, double crossProb, int ruleWeight, int compType, int infType, double p_DC, double michProb) Constructor with parameters

Method Summary

Modifier and Type	Method and Description
RuleBase	bestRB() It returns the best RB found so far
boolean	BETTER(int a, int b) Maximization
void	Generation(int n_generations) Main procedure of the GA
void	writeFile(java.lang.String filename) Writes the best population / RB into file

Methods inherited from class java.lang.Object

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

Constructor Detail

Population

public Population()

Default Constructor

Population

public Population(myDataset train,
                  DataBase dataBase,
                  int size,
                  int nRules,
                  double crossProb,
                  int ruleWeight,
                  int compType,
                  int infType,
                  double p_DC,
                  double michProb)

Constructor with parameters

Parameters:

train - myDataset training set

dataBase - DataBase dataBase

size - int population size

nRules - int number of rules

crossProb - double crossover probability

ruleWeight - int rule weight id

compType - int compatibility degree id

infType - int inference type id

p_DC - double don't care probability

michProb - double probability of performing a michigan iteration

Method Detail

BETTER

public boolean BETTER(int a,
                      int b)

Maximization

Parameters:

a - int first number

b - int second number

Returns:

boolean true if a is better than b

Generation

public void Generation(int n_generations)

Main procedure of the GA

Parameters:

n_generations - int number of generations

writeFile

public void writeFile(java.lang.String filename)

Writes the best population / RB into file

Parameters:

filename - String the name of the file

bestRB

public RuleBase bestRB()

It returns the best RB found so far

Returns:

RuleBase the best RB found so far