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 Double
m_LastFitness
the last fitness.protected double
m_MinimumImprovement
the minimum required improvement (percent: 0-1).protected int
m_NoImprovement
the number of iterations without improvement.protected int
m_NumIterations
number 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 void
defineOptions()
Adds options to the internal list of options.protected boolean
doCheckStopping(AbstractGeneticAlgorithm genetic)
Performs the actual check of the stopping criterion.double
getMinimumImprovement()
Returns the minimum improvement in percent (0-1) to achieve in the alotted time.int
getNumIterations()
Returns the number of iterations to perform.String
globalInfo()
Returns a string describing the object.String
minimumImprovementTipText()
Returns the tip text for this property.String
numIterationsTipText()
Returns the tip text for this property.protected void
record(AbstractGeneticAlgorithm genetic)
Records fitness, resets counter.protected void
reset()
Resets the scheme.void
setMinimumImprovement(double value)
Sets the minimum improvement in percent (0-1) to achieve in the alotted time.void
setNumIterations(int value)
Sets the number of iterations to perform.void
start()
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:
globalInfo
in interfaceGlobalInfoSupporter
- Specified by:
globalInfo
in 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:
defineOptions
in interfaceOptionHandler
- Overrides:
defineOptions
in classAbstractOptionHandler
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reset
protected void reset()
Resets the scheme.- Overrides:
reset
in 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:
start
in 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:
doCheckStopping
in classAbstractStoppingCriterion
- Parameters:
genetic
- the algorithm- Returns:
- true if to stop
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