edu.udo.cs.yale.operator.features.construction
Class YAGGA

java.lang.Object
  edu.udo.cs.yale.operator.Operator
      edu.udo.cs.yale.operator.OperatorChain
          edu.udo.cs.yale.operator.features.FeatureOperator
              edu.udo.cs.yale.operator.features.selection.AbstractGeneticAlgorithm
                  edu.udo.cs.yale.operator.features.construction.AbstractGeneratingGeneticAlgorithm
                      edu.udo.cs.yale.operator.features.construction.YAGGA

All Implemented Interfaces:

ConfigurationListener

Direct Known Subclasses:

YAGGA2

public class YAGGA
extends AbstractGeneratingGeneticAlgorithm

YAGGA is an acronym for Yet Another Generating Genetic Algorithm. Its approach to generating new attributes differs from the original one. The (generating) mutation can do one of the following things with different probabilities:

• Probability p/4: Add a newly generated attribute to the feature vector
• Probability p/4: Add a randomly chosen original attribute to the feature vector
• Probability p/2: Remove a randomly chosen attribute from the feature vector

Thus it is guaranteed that the length of the feature vector can both grow and shrink. On average it will keep its original length, unless longer or shorter individuals prove to have a better fitness. Since this operator does not contain algorithms to extract features from value series, it is restricted to example sets with only single attributes. For (automatic) feature extraction from values series the value series plugin for Yale written by Ingo Mierswa should be used. It is available at http://yale.cs.uni-dortmund.de.

Version:

$Id: YAGGA.java,v 1.5 2006/09/02 12:14:10 ingomierswa Exp $

Author:

Ingo Mierswa, Simon Fischer

Field Summary

Fields inherited from class edu.udo.cs.yale.operator.features.selection.AbstractGeneticAlgorithm

BOLTZMANN_SELECTION, CUT_SELECTION, NON_DOMINATED_SORTING_SELECTION, RANK_SELECTION, ROULETTE_WHEEL, SELECTION_SCHEMES, STOCHASTIC_UNIVERSAL, TOURNAMENT_SELECTION, UNIFORM_SELECTION

Constructor Summary

YAGGA(OperatorDescription description)

Method Summary

Population	createInitialPopulation(ExampleSet es) Creates a initial population.
protected PopulationOperator	getGeneratingPopulationOperator(ExampleSet exampleSet) Since the mutation of YAGGA also creates new attributes this method returns null.
protected PopulationOperator	getMutationPopulationOperator(ExampleSet eSet) Returns the generating mutation PopulationOperator.
java.util.List<ParameterType>	getParameterTypes() Returns a list of ParameterTypes describing the parameters of this operator.

Methods inherited from class edu.udo.cs.yale.operator.features.construction.AbstractGeneratingGeneticAlgorithm

getCrossoverPopulationOperator, getGenerators, getPreProcessingPopulationOperators

Methods inherited from class edu.udo.cs.yale.operator.features.selection.AbstractGeneticAlgorithm

getPostEvaluationPopulationOperators, getPostProcessingPopulationOperators, getPreEvaluationPopulationOperators, solutionGoodEnough

Methods inherited from class edu.udo.cs.yale.operator.features.FeatureOperator

apply, evaluate, evaluate, getCheckForMaximum, getInnerOperatorCondition, getInputClasses, getMaxNumberOfInnerOperators, getMinNumberOfInnerOperators, getNumberOfSteps, getOutputClasses, getRandom, setCheckForMaximum

Methods inherited from class edu.udo.cs.yale.operator.OperatorChain

addAddListener, addOperator, addOperator, checkDeprecations, checkIO, checkNumberOfInnerOperators, checkProperties, clearErrorList, clearStepCounter, cloneOperator, countStep, createExperimentTree, delete, experimentFinished, experimentStarts, getAllInnerOperators, getCurrentStep, getIndexOfOperator, getInnerOperatorForName, getInnerOperatorsXML, getNumberOfAllOperators, getNumberOfChildrensSteps, getNumberOfOperators, getOperator, getOperatorFromAll, getOperators, isEnabled, performAdditionalChecks, removeAddListener, removeOperator, setEnabled, setExperiment, shouldReturnInnerOutput

Methods inherited from class edu.udo.cs.yale.operator.Operator

addError, addValue, addWarning, apply, createExperimentTree, createFromXML, createMarkedExperimentTree, getAddOnlyAdditionalOutput, getApplyCount, getDeliveredOutputClasses, getDeprecationInfo, getDesiredInputClasses, getErrorList, getExperiment, getInput, getInput, getInput, getInputDescription, getIOContainerForInApplyLoopBreakpoint, getName, getOperatorClassName, getOperatorDescription, getParameter, getParameterAsBoolean, getParameterAsColor, getParameterAsDouble, getParameterAsFile, getParameterAsInt, getParameterAsString, getParameterList, getParameters, getParameterType, getParent, getStartTime, getStatus, getUserDescription, getValue, getValues, getXML, hasBreakpoint, hasBreakpoint, hasInput, inApplyLoop, isParameterSet, logMessage, register, remove, rename, resume, setBreakpoint, setInput, setListParameter, setOperatorParameters, setParameter, setParameters, setParent, setUserDescription, toString, writeXML

Methods inherited from class java.lang.Object

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

Constructor Detail

YAGGA

public YAGGA(OperatorDescription description)

Method Detail

getGeneratingPopulationOperator

protected PopulationOperator getGeneratingPopulationOperator(ExampleSet exampleSet)

Since the mutation of YAGGA also creates new attributes this method returns null.

Specified by:

getGeneratingPopulationOperator in class AbstractGeneratingGeneticAlgorithm

getMutationPopulationOperator

protected PopulationOperator getMutationPopulationOperator(ExampleSet eSet)
                                                    throws OperatorException

Returns the generating mutation PopulationOperator.

Specified by:

getMutationPopulationOperator in class AbstractGeneticAlgorithm

Throws:

OperatorException

createInitialPopulation

public Population createInitialPopulation(ExampleSet es)
                                   throws UndefinedParameterError

Creates a initial population.

Overrides:

createInitialPopulation in class AbstractGeneratingGeneticAlgorithm

Throws:

UndefinedParameterError

getParameterTypes

public java.util.List<ParameterType> getParameterTypes()

Description copied from class: Operator

Returns a list of ParameterTypes describing the parameters of this operator. The default implementation returns an empty list if no input objects can be retained and special parameters for those input objects which can be prevented from being consumed.

Overrides:

getParameterTypes in class AbstractGeneratingGeneticAlgorithm