edu.udo.cs.yale.operator.features.weighting
Class EvolutionaryWeighting

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.weighting.EvolutionaryWeighting

All Implemented Interfaces:

ConfigurationListener

public class EvolutionaryWeighting
extends AbstractGeneticAlgorithm

This operator performs the weighting of features with an evolutionary strategies approach. The variance of the gaussian additive mutation can be adapted by a 1/5-rule.

Version:

$Id: EvolutionaryWeighting.java,v 1.27 2006/04/14 07:47:17 ingomierswa Exp $

Author:

Ingo Mierswa

Field Summary

private WeightingMutation

weighting

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

EvolutionaryWeighting(OperatorDescription description)

Method Summary

Population	createInitialPopulation(ExampleSet exampleSet) Create an initial population.
PopulationOperator	getCrossoverPopulationOperator(ExampleSet eSet) Returns an operator that performs crossover.
PopulationOperator	getMutationPopulationOperator(ExampleSet eSet) Returns an operator that performs the mutation.
java.util.List<ParameterType>	getParameterTypes() Returns a list of ParameterTypes describing the parameters of this operator.
protected java.util.List<PopulationOperator>	getPostProcessingPopulationOperators(ExampleSet eSet) Returns an empty list.

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

getPostEvaluationPopulationOperators, getPreEvaluationPopulationOperators, getPreProcessingPopulationOperators, 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

Field Detail

weighting

private WeightingMutation weighting

Constructor Detail

EvolutionaryWeighting

public EvolutionaryWeighting(OperatorDescription description)

Method Detail

getCrossoverPopulationOperator

public PopulationOperator getCrossoverPopulationOperator(ExampleSet eSet)
                                                  throws UndefinedParameterError

Description copied from class: AbstractGeneticAlgorithm

Returns an operator that performs crossover. Can be overridden by subclasses.

Specified by:

getCrossoverPopulationOperator in class AbstractGeneticAlgorithm

Throws:

UndefinedParameterError

getMutationPopulationOperator

public PopulationOperator getMutationPopulationOperator(ExampleSet eSet)
                                                 throws UndefinedParameterError

Description copied from class: AbstractGeneticAlgorithm

Returns an operator that performs the mutation. Can be overridden by subclasses.

Specified by:

getMutationPopulationOperator in class AbstractGeneticAlgorithm

Throws:

UndefinedParameterError

getPostProcessingPopulationOperators

protected java.util.List<PopulationOperator> getPostProcessingPopulationOperators(ExampleSet eSet)
                                                                           throws UndefinedParameterError

Description copied from class: AbstractGeneticAlgorithm

Returns an empty list.

Overrides:

getPostProcessingPopulationOperators in class AbstractGeneticAlgorithm

Throws:

UndefinedParameterError

createInitialPopulation

public Population createInitialPopulation(ExampleSet exampleSet)
                                   throws UndefinedParameterError

Description copied from class: FeatureOperator

Create an initial population. The example set will be cloned before the method is invoked. This method is invoked after the pre- and postevaluation population operators were collected.

Specified by:

createInitialPopulation in class FeatureOperator

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 AbstractGeneticAlgorithm