keel.Algorithms.Fuzzy_Rule_Learning.Genetic.IVTURS

Class Population

java.lang.Object

keel.Algorithms.Fuzzy_Rule_Learning.Genetic.IVTURS.Population

public class Population
extends java.lang.Object

Title: Population

Description: Class for the CHC algorithm

Copyright: KEEL Copyright (c) 2010

Company: KEEL

Since:

JDK1.6

Version:

1.2, 1.2

Author:

Written by Jesus Alcalá (University of Granada) 09/02/2011, Modified by Jose Antonio Sanz (University of Navarra) 19/12/2011, Modified by Alberto Fernandez (University of Jaen) 24/10/2013

Constructor Summary

Constructors

Constructor and Description
Population() Default constructor.
Population(myDataset train, DataBase dataBase, RuleBase ruleBase, int size, int BITS_GEN, int maxTrials, double alpha, int tipoAjuste) Builder

Method Summary

Modifier and Type	Method and Description
boolean	BETTER(double a, double b)
void	Generation() Run the CHC algorithm (Stage 3)
RuleBase	getBestRB() Return the best individual in the population
java.lang.String	getEvolution() Type of evolution

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,
                  RuleBase ruleBase,
                  int size,
                  int BITS_GEN,
                  int maxTrials,
                  double alpha,
                  int tipoAjuste)

Builder

Parameters:

train - Training dataset

dataBase - Data Base

ruleBase - Rule set

size - Population size

BITS_GEN - Bits per gen

maxTrials - Maximum number of evaluations

alpha - Parameter alpha

tipoAjuste - several types of tuning can be carried out, which are combinations between: lateral, amplitude and similarity

Method Detail

BETTER

public boolean BETTER(double a,
                      double b)

Generation

public void Generation()

Run the CHC algorithm (Stage 3)

getEvolution

public java.lang.String getEvolution()

Type of evolution

Returns:

type of evolution

getBestRB

public RuleBase getBestRB()

Return the best individual in the population

Returns:

Return the rule set of the best individual in the population