Package adams.opt.genetic.stopping
Class MaxIterationsWithoutImprovement
- java.lang.Object
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- adams.core.logging.LoggingObject
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- adams.core.logging.CustomLoggingLevelObject
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- adams.core.option.AbstractOptionHandler
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- adams.opt.genetic.stopping.AbstractStoppingCriterion
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- adams.opt.genetic.stopping.MaxIterationsWithoutImprovement
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- All Implemented Interfaces:
Destroyable,GlobalInfoSupporter,LoggingLevelHandler,LoggingSupporter,OptionHandler,SizeOfHandler,Serializable
public class MaxIterationsWithoutImprovement extends AbstractStoppingCriterion
Stops after the maximum number of seconds since last improvement has been reached.
-logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST> (property: loggingLevel) The logging level for outputting errors and debugging output. default: WARNING
-num-iter <int> (property: numIterations) The maximum number of iterations to perform without improvement. default: 10 minimum: 1
-min-improvement <double> (property: minimumImprovement) The minimum improvement in percent (0-1) to achieve in the alotted time. default: 0.0 minimum: 0.0 maximum: 1.0
- Version:
- $Revision$
- Author:
- FracPete (fracpete at waikato dot ac dot nz)
- See Also:
- Serialized Form
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Field Summary
Fields Modifier and Type Field Description protected Doublem_LastFitnessthe last fitness.protected doublem_MinimumImprovementthe minimum required improvement (percent: 0-1).protected intm_NoImprovementthe number of iterations without improvement.protected intm_NumIterationsnumber of iterations to perform.-
Fields inherited from class adams.core.option.AbstractOptionHandler
m_OptionManager
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Fields inherited from class adams.core.logging.LoggingObject
m_Logger, m_LoggingIsEnabled, m_LoggingLevel
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Constructor Summary
Constructors Constructor Description MaxIterationsWithoutImprovement()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description voiddefineOptions()Adds options to the internal list of options.protected booleandoCheckStopping(AbstractGeneticAlgorithm genetic)Performs the actual check of the stopping criterion.doublegetMinimumImprovement()Returns the minimum improvement in percent (0-1) to achieve in the alotted time.intgetNumIterations()Returns the number of iterations to perform.StringglobalInfo()Returns a string describing the object.StringminimumImprovementTipText()Returns the tip text for this property.StringnumIterationsTipText()Returns the tip text for this property.protected voidrecord(AbstractGeneticAlgorithm genetic)Records fitness, resets counter.protected voidreset()Resets the scheme.voidsetMinimumImprovement(double value)Sets the minimum improvement in percent (0-1) to achieve in the alotted time.voidsetNumIterations(int value)Sets the number of iterations to perform.voidstart()Gets called when the genetic algorithm starts.-
Methods inherited from class adams.opt.genetic.stopping.AbstractStoppingCriterion
check, checkStopping
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Methods inherited from class adams.core.option.AbstractOptionHandler
cleanUpOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, initialize, loggingLevelTipText, newOptionManager, setLoggingLevel, toCommandLine, toString
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Methods inherited from class adams.core.logging.LoggingObject
configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf
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Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Methods inherited from interface adams.core.logging.LoggingLevelHandler
getLoggingLevel
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Field Detail
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m_NumIterations
protected int m_NumIterations
number of iterations to perform.
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m_MinimumImprovement
protected double m_MinimumImprovement
the minimum required improvement (percent: 0-1).
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m_NoImprovement
protected int m_NoImprovement
the number of iterations without improvement.
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m_LastFitness
protected Double m_LastFitness
the last fitness.
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Method Detail
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globalInfo
public String globalInfo()
Returns a string describing the object.- Specified by:
globalInfoin interfaceGlobalInfoSupporter- Specified by:
globalInfoin classAbstractOptionHandler- Returns:
- a description suitable for displaying in the gui
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defineOptions
public void defineOptions()
Adds options to the internal list of options.- Specified by:
defineOptionsin interfaceOptionHandler- Overrides:
defineOptionsin classAbstractOptionHandler
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reset
protected void reset()
Resets the scheme.- Overrides:
resetin classAbstractOptionHandler
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setNumIterations
public void setNumIterations(int value)
Sets the number of iterations to perform.- Parameters:
value- the number
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getNumIterations
public int getNumIterations()
Returns the number of iterations to perform.- Returns:
- the number
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numIterationsTipText
public String numIterationsTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
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setMinimumImprovement
public void setMinimumImprovement(double value)
Sets the minimum improvement in percent (0-1) to achieve in the alotted time.- Parameters:
value- the minimum
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getMinimumImprovement
public double getMinimumImprovement()
Returns the minimum improvement in percent (0-1) to achieve in the alotted time.- Returns:
- the minimum
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minimumImprovementTipText
public String minimumImprovementTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
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start
public void start()
Gets called when the genetic algorithm starts.- Specified by:
startin classAbstractStoppingCriterion
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record
protected void record(AbstractGeneticAlgorithm genetic)
Records fitness, resets counter.- Parameters:
genetic- the algorithm
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doCheckStopping
protected boolean doCheckStopping(AbstractGeneticAlgorithm genetic)
Performs the actual check of the stopping criterion.- Specified by:
doCheckStoppingin classAbstractStoppingCriterion- Parameters:
genetic- the algorithm- Returns:
- true if to stop
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