CoevolutionAlgorithm

java.lang.Object
- keel.Algorithms.Coevolution.CoevolutionAlgorithm

Direct Known Subclasses:

CIW_NN, IFS_COCO
```
public abstract class CoevolutionAlgorithm
extends java.lang.Object
```
File: CoevolutionAlgorithm.java A general framework for Coevolutionary Algorithms. This class contains all common operations in the development of a Coevolutionary algorithm. Any Coevolutionary can extend this class and, by implementing the abstract "evaluate" and "readParameters" method, getting most of its work already done.

Since:

JDK1.5

Version:

1.1

Author:

Written by Joaquín Derrac (University of Granada) 13/1/2010

Field Summary

Fields
Modifier and Type	Field and Description
`protected long`	`initialTime` Initial time.
`protected int`	`inputAtt` Number of input attributes
`protected Attribute[]`	`inputs` Inputs attributes
`protected double`	`modelTime` Generation model time.
`protected java.lang.String`	`name` Naming.
`protected int`	`nClasses` Number of classes.
`protected int[]`	`nInstances` Number of instances of each classes.
`protected boolean[]`	`nulls` Missing values of a instance
`protected java.lang.String[]`	`outFile` Output files names
`protected Attribute`	`output` Output attribute
`protected InstanceSet`	`reference` Reference dataset
`protected double[][]`	`referenceData` Reference input data.
`protected java.lang.String`	`referenceFile` Reference file name
`protected int[]`	`referenceOutput` Reference output data.
`protected java.lang.String`	`relation` Relation string.
`protected long`	`seed` Random seed.
`protected Instance`	`temp` Temporal instance.
`protected InstanceSet`	`test` Test dataset
`protected double[][]`	`testData` Test input data.
`protected java.lang.String`	`testFile` Test file name
`protected int[]`	`testOutput` Test output data.
`protected double`	`testTime` Test prediction time.
`protected InstanceSet`	`train` Training dataset
`protected double[][]`	`trainData` Training input data.
`protected java.lang.String`	`trainFile` Train file name
`protected double`	`trainingTime` Training prediction time.
`protected int[]`	`trainOutput` Training output data.

Constructor Summary

Constructors
Constructor and Description

CoevolutionAlgorithm()

Constructors
Constructor and Description
`CoevolutionAlgorithm()`

Method Summary

All Methods Static Methods Instance Methods Abstract Methods Concrete Methods
Modifier and Type	Method and Description
`protected double`	`euclideanDistance(double[] instance1, double[] instance2)` Calculates the Euclidean distance between two instances
`protected void`	`normalizeReference()` This function builds the data matrix for reference data and normalizes inputs values
`protected void`	`normalizeTest()` This function builds the data matrix for test data and normalizes inputs values
`protected void`	`normalizeTrain()` This function builds the data matrix for training data and normalizes inputs values
`static java.lang.String`	`printInstance(int[] instance)` Generates a string with the contents of the instance
`protected void`	`readConfiguracion(java.lang.String script)` Reads configuration script, and extracts its contents.
`protected void`	`readDataFiles(java.lang.String script)` Read the configuration and data files, and process it.
`protected abstract void`	`readParameters(java.lang.String script)` Reads the parameters of the algorithm.
`protected boolean`	`same(double[] a, double[] b)` Checks if two instances are the same
`protected void`	`setInitialTime()` Sets the time counter

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - outFile
```
protected java.lang.String[] outFile
```
    Output files names
  - testFile
```
protected java.lang.String testFile
```
    Test file name
  - trainFile
```
protected java.lang.String trainFile
```
    Train file name
  - referenceFile
```
protected java.lang.String referenceFile
```
    Reference file name
  - train
```
protected InstanceSet train
```
    Training dataset
  - test
```
protected InstanceSet test
```
    Test dataset
  - reference
```
protected InstanceSet reference
```
    Reference dataset
  - temp
```
protected Instance temp
```
    Temporal instance.
  - inputAtt
```
protected int inputAtt
```
    Number of input attributes
  - inputs
```
protected Attribute[] inputs
```
    Inputs attributes
  - output
```
protected Attribute output
```
    Output attribute
  - nulls
```
protected boolean[] nulls
```
    Missing values of a instance
  - trainData
```
protected double[][] trainData
```
    Training input data.
  - trainOutput
```
protected int[] trainOutput
```
    Training output data.
  - testData
```
protected double[][] testData
```
    Test input data.
  - testOutput
```
protected int[] testOutput
```
    Test output data.
  - referenceData
```
protected double[][] referenceData
```
    Reference input data.
  - referenceOutput
```
protected int[] referenceOutput
```
    Reference output data.
  - relation
```
protected java.lang.String relation
```
    Relation string.
  - nClasses
```
protected int nClasses
```
    Number of classes.
  - nInstances
```
protected int[] nInstances
```
    Number of instances of each classes.
  - initialTime
```
protected long initialTime
```
    Initial time.
  - modelTime
```
protected double modelTime
```
    Generation model time.
  - trainingTime
```
protected double trainingTime
```
    Training prediction time.
  - testTime
```
protected double testTime
```
    Test prediction time.
  - name
```
protected java.lang.String name
```
    Naming.
  - seed
```
protected long seed
```
    Random seed.
- Constructor Detail
  - CoevolutionAlgorithm
```
public CoevolutionAlgorithm()
```
- Method Detail
  - readDataFiles
```
protected void readDataFiles(java.lang.String script)
```
    Read the configuration and data files, and process it.
    
    Parameters:
    
    script - Name of the configuration script
  - readConfiguracion
```
protected void readConfiguracion(java.lang.String script)
```
    Reads configuration script, and extracts its contents.
    
    Parameters:
    
    script - Name of the configuration script
  - readParameters
```
protected abstract void readParameters(java.lang.String script)
```
    Reads the parameters of the algorithm. Must be implemented in the subclass.
    
    Parameters:
    
    script - Configuration script
  - normalizeTrain
```
protected void normalizeTrain()
                       throws keel.Algorithms.Coevolution.CoevolutionAlgorithm.CheckException
```
    This function builds the data matrix for training data and normalizes inputs values
    
    Throws:
    
    keel.Algorithms.Coevolution.CoevolutionAlgorithm.CheckException - (if the dataset is not a classification problem)
  - normalizeTest
```
protected void normalizeTest()
                      throws keel.Algorithms.Coevolution.CoevolutionAlgorithm.CheckException
```
    This function builds the data matrix for test data and normalizes inputs values
    
    Throws:
    
    keel.Algorithms.Coevolution.CoevolutionAlgorithm.CheckException - (if the dataset is not a classification problem)
  - normalizeReference
```
protected void normalizeReference()
                           throws keel.Algorithms.Coevolution.CoevolutionAlgorithm.CheckException
```
    This function builds the data matrix for reference data and normalizes inputs values
    
    Throws:
    
    keel.Algorithms.Coevolution.CoevolutionAlgorithm.CheckException - (if the dataset is not a classification problem)
  - euclideanDistance
```
protected double euclideanDistance(double[] instance1,
                                   double[] instance2)
```
    Calculates the Euclidean distance between two instances
    
    Parameters:
    
    instance1 - First instance
    
    instance2 - Second instance
    
    Returns:
    
    The Euclidean distance
  - same
```
protected boolean same(double[] a,
                       double[] b)
```
    Checks if two instances are the same
    
    Parameters:
    
    a - First instance
    
    b - Second instance
    
    Returns:
    
    True if both instances are equal.
  - printInstance
```
public static java.lang.String printInstance(int[] instance)
```
    Generates a string with the contents of the instance
    
    Parameters:
    
    instance - Instance to print
    
    Returns:
    
    A string, with the values of the instance
  - setInitialTime
```
protected void setInitialTime()
```
    Sets the time counter

Class CoevolutionAlgorithm

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

outFile

testFile

trainFile

referenceFile

train

test

reference

temp

inputAtt

inputs

output

nulls

trainData

trainOutput

testData

testOutput

referenceData

referenceOutput

relation

nClasses

nInstances

initialTime

modelTime

trainingTime

testTime

name

seed

Constructor Detail

CoevolutionAlgorithm

Method Detail

readDataFiles

readConfiguracion

readParameters

normalizeTrain

normalizeTest

normalizeReference

euclideanDistance

same

printInstance

setInitialTime