org.jscience.architecture.traffic.algorithms.tlc
Class GenNeuralTLC.GenNeuralPopulation

java.lang.Object
  org.jscience.architecture.traffic.algorithms.tlc.GenNeuralTLC.GenNeuralPopulation

All Implemented Interfaces:

TwoStageLoader, XMLSerializable

Enclosing class:

GenNeuralTLC

protected class GenNeuralTLC.GenNeuralPopulation
extends java.lang.Object
implements XMLSerializable, TwoStageLoader

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Field Summary

protected GenNeuralTLC.GenNeuralIndividual[][]	inds DOCUMENT ME!
protected int	this_gen DOCUMENT ME!
protected int	this_grp DOCUMENT ME!

Constructor Summary

protected	GenNeuralTLC.GenNeuralPopulation() Creates a new GenNeuralPopulation object.
protected	GenNeuralTLC.GenNeuralPopulation(Infrastructure infra) Creates a new population of groups of GenNeural Individuals

Method Summary

protected void	evolve() Evolves the current generation of GenNeuralIndividuals in the GenNeuralPopulation into a new one.
protected int	getCurrentGenerationNum() DOCUMENT ME!
protected GenNeuralTLC.GenNeuralIndividual[]	getIndividuals() DOCUMENT ME!
protected GenNeuralTLC.GenNeuralIndividual	getNext(GenNeuralTLC.GenNeuralIndividual[] group, float totalFit) DOCUMENT ME!
protected GenNeuralTLC.GenNeuralIndividual[]	getNextIndividuals() DOCUMENT ME!
java.lang.String	getXMLName() DOCUMENT ME!
void	load(XMLElement myElement, XMLLoader loader) DOCUMENT ME!
void	loadSecondStage(java.util.Dictionary dictionaries) DOCUMENT ME!
protected GenNeuralTLC.GenNeuralIndividual[]	mate(GenNeuralTLC.GenNeuralIndividual ma, GenNeuralTLC.GenNeuralIndividual pa) Mates two GenNeuralIndividuals creating two new GenNeuralIndividuals
protected GenNeuralTLC.GenNeuralIndividual[]	mateGroup(GenNeuralTLC.GenNeuralIndividual[] group, float totalFit) DOCUMENT ME!
void	saveChilds(XMLSaver saver) DOCUMENT ME!
XMLElement	saveSelf() DOCUMENT ME!
void	setParentName(java.lang.String parentName_) DOCUMENT ME!
protected GenNeuralTLC.GenNeuralIndividual[]	sortIndsArr(GenNeuralTLC.GenNeuralIndividual[] ar) BubbleSorts an array of GenNeuralIndividuals on the parameter of performance

Methods inherited from class java.lang.Object

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

Field Detail

this_grp

protected int this_grp

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this_gen

protected int this_gen

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inds

protected GenNeuralTLC.GenNeuralIndividual[][] inds

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Constructor Detail

GenNeuralTLC.GenNeuralPopulation

protected GenNeuralTLC.GenNeuralPopulation(Infrastructure infra)

Creates a new population of groups of GenNeural Individuals

Parameters:

infra - The Infrastructure the population will run on

GenNeuralTLC.GenNeuralPopulation

protected GenNeuralTLC.GenNeuralPopulation()

Creates a new GenNeuralPopulation object.

Method Detail

getCurrentGenerationNum

protected int getCurrentGenerationNum()

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Returns:

the number of the current generation of individuals

getIndividuals

protected GenNeuralTLC.GenNeuralIndividual[] getIndividuals()

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Returns:

the current individual

getNextIndividuals

protected GenNeuralTLC.GenNeuralIndividual[] getNextIndividuals()

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Returns:

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sortIndsArr

protected GenNeuralTLC.GenNeuralIndividual[] sortIndsArr(GenNeuralTLC.GenNeuralIndividual[] ar)

BubbleSorts an array of GenNeuralIndividuals on the parameter of performance

Parameters:

ar - the array to be sorted

Returns:

the sorted array

mate

protected GenNeuralTLC.GenNeuralIndividual[] mate(GenNeuralTLC.GenNeuralIndividual ma,
                                                  GenNeuralTLC.GenNeuralIndividual pa)

Mates two GenNeuralIndividuals creating two new GenNeuralIndividuals

Parameters:

ma - The mamma-GenNeuralIndividual

pa - The pappa-GenNeuralIndividual

Returns:

an array of length 2 of two newborn GenNeuralIndividuals

mateGroup

protected GenNeuralTLC.GenNeuralIndividual[] mateGroup(GenNeuralTLC.GenNeuralIndividual[] group,
                                                       float totalFit)

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Parameters:

group - DOCUMENT ME!

totalFit - DOCUMENT ME!

Returns:

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getNext

protected GenNeuralTLC.GenNeuralIndividual getNext(GenNeuralTLC.GenNeuralIndividual[] group,
                                                   float totalFit)

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Parameters:

group - DOCUMENT ME!

totalFit - DOCUMENT ME!

Returns:

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evolve

protected void evolve()

Evolves the current generation of GenNeuralIndividuals in the GenNeuralPopulation into a new one.

load

public void load(XMLElement myElement,
                 XMLLoader loader)
          throws XMLTreeException,
                 java.io.IOException,
                 XMLInvalidInputException

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Specified by:

load in interface XMLSerializable

Parameters:

myElement - DOCUMENT ME!

loader - DOCUMENT ME!

Throws:

XMLTreeException - DOCUMENT ME!

java.io.IOException - DOCUMENT ME!

XMLInvalidInputException - DOCUMENT ME!

saveSelf

public XMLElement saveSelf()
                    throws XMLCannotSaveException

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Specified by:

saveSelf in interface XMLSerializable

Returns:

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Throws:

XMLCannotSaveException - DOCUMENT ME!

saveChilds

public void saveChilds(XMLSaver saver)
                throws XMLTreeException,
                       java.io.IOException,
                       XMLCannotSaveException

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Specified by:

saveChilds in interface XMLSerializable

Parameters:

saver - DOCUMENT ME!

Throws:

XMLTreeException - DOCUMENT ME!

java.io.IOException - DOCUMENT ME!

XMLCannotSaveException - DOCUMENT ME!

getXMLName

public java.lang.String getXMLName()

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Specified by:

getXMLName in interface XMLSerializable

Returns:

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setParentName

public void setParentName(java.lang.String parentName_)
                   throws XMLTreeException

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Specified by:

setParentName in interface XMLSerializable

Parameters:

parentName_ - DOCUMENT ME!

Throws:

XMLTreeException - DOCUMENT ME!

loadSecondStage

public void loadSecondStage(java.util.Dictionary dictionaries)
                     throws XMLTreeException,
                            XMLInvalidInputException

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Specified by:

loadSecondStage in interface TwoStageLoader

Parameters:

dictionaries - DOCUMENT ME!

Throws:

XMLTreeException - DOCUMENT ME!

XMLInvalidInputException - DOCUMENT ME!