#include <itkOnePlusOneEvolutionaryOptimizerv4.h>

Inheritance diagram for itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >:

Collaboration diagram for itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >:

Public Types
using	ConstPointer = SmartPointer< const Self >

using	CostFunctionPointer = CostFunctionType::Pointer

using	CostFunctionType = SingleValuedCostFunctionv4

using	MeasureType = typename Superclass::MeasureType

using	NormalVariateGeneratorType = Statistics::RandomVariateGeneratorBase

using	ParametersType = typename Superclass::ParametersType

using	Pointer = SmartPointer< Self >

using	ScalesType = typename Superclass::ScalesType

using	Self = OnePlusOneEvolutionaryOptimizerv4

using	Superclass = ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >

Public Types inherited from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
using	ConstPointer = SmartPointer< const Self >

using	DerivativeType = typename MetricType::DerivativeType

using	MeasureType = typename MetricType::MeasureType

using	MetricType = ObjectToObjectMetricBaseTemplate< TInternalComputationValueType >

using	MetricTypePointer = typename MetricType::Pointer

using	NumberOfParametersType = typename MetricType::NumberOfParametersType

using	ParametersType = OptimizerParameters< TInternalComputationValueType >

using	Pointer = SmartPointer< Self >

using	ScalesEstimatorType = OptimizerParameterScalesEstimatorTemplate< TInternalComputationValueType >

using	ScalesType = OptimizerParameters< TInternalComputationValueType >

using	Self = ObjectToObjectOptimizerBaseTemplate

using	StopConditionDescriptionType = std::ostringstream

using	StopConditionReturnStringType = std::string

using	Superclass = Object

Public Types inherited from itk::Object
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = Object

using	Superclass = LightObject

Public Types inherited from itk::LightObject
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = LightObject

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother () const

virtual const char *	GetNameOfClass () const

Public Member Functions inherited from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
virtual void	SetMetric (MetricType *_arg)

virtual MetricType *	GetModifiableMetric ()

virtual const MetricType *	GetMetric () const

virtual const MeasureType &	GetCurrentMetricValue () const

virtual void	SetScales (const ScalesType &scales)

virtual const ScalesType &	GetScales () const

virtual const bool &	GetScalesAreIdentity () const

virtual void	SetWeights (ScalesType _arg)

virtual const ScalesType &	GetWeights () const

virtual const bool &	GetWeightsAreIdentity () const

bool	GetScalesInitialized () const

virtual void	SetScalesEstimator (ScalesEstimatorType *_arg)

virtual void	SetDoEstimateScales (bool _arg)

virtual const bool &	GetDoEstimateScales () const

virtual void	DoEstimateScalesOn ()

virtual void	DoEstimateScalesOff ()

virtual void	SetNumberOfWorkUnits (ThreadIdType number)

virtual const ThreadIdType &	GetNumberOfWorkUnits () const

virtual SizeValueType	GetCurrentIteration () const

virtual void	SetNumberOfIterations (SizeValueType _arg)

virtual SizeValueType	GetNumberOfIterations () const

virtual const ParametersType &	GetCurrentPosition () const

Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *)

unsigned long	AddObserver (const EventObject &event, Command *) const

unsigned long	AddObserver (const EventObject &event, std::function< void(const EventObject &)> function) const

virtual void	DebugOff () const

virtual void	DebugOn () const

Command *	GetCommand (unsigned long tag)

bool	GetDebug () const

MetaDataDictionary &	GetMetaDataDictionary ()

const MetaDataDictionary &	GetMetaDataDictionary () const

virtual ModifiedTimeType	GetMTime () const

virtual const TimeStamp &	GetTimeStamp () const

bool	HasObserver (const EventObject &event) const

void	InvokeEvent (const EventObject &)

void	InvokeEvent (const EventObject &) const

virtual void	Modified () const

void	Register () const override

void	RemoveAllObservers ()

void	RemoveObserver (unsigned long tag)

void	SetDebug (bool debugFlag) const

void	SetReferenceCount (int) override

void	UnRegister () const noexcept override

void	SetMetaDataDictionary (const MetaDataDictionary &rhs)

void	SetMetaDataDictionary (MetaDataDictionary &&rrhs)

virtual void	SetObjectName (std::string _arg)

virtual const std::string &	GetObjectName () const

Public Member Functions inherited from itk::LightObject
Pointer	Clone () const

virtual void	Delete ()

virtual int	GetReferenceCount () const

void	Print (std::ostream &os, Indent indent=0) const

Static Public Member Functions
static Pointer	New ()

Static Public Member Functions inherited from itk::Object
static bool	GetGlobalWarningDisplay ()

static void	GlobalWarningDisplayOff ()

static void	GlobalWarningDisplayOn ()

static Pointer	New ()

static void	SetGlobalWarningDisplay (bool val)

Static Public Member Functions inherited from itk::LightObject
static void	BreakOnError ()

static Pointer	New ()

NormalVariateGeneratorType::Pointer	m_RandomGenerator

unsigned int	m_MaximumIteration

bool	m_CatchGetValueException

double	m_MetricWorstPossibleValue

double	m_Epsilon

double	m_InitialRadius

double	m_GrowthFactor

double	m_ShrinkFactor

bool	m_Initialized

MeasureType	m_CurrentCost

bool	m_Stop

std::ostringstream	m_StopConditionDescription

double	m_FrobeniusNorm

virtual void	SetMaximumIteration (unsigned int _arg)

virtual const unsigned int &	GetMaximumIteration () const

virtual void	SetGrowthFactor (double _arg)

virtual const double &	GetGrowthFactor () const

virtual void	SetShrinkFactor (double _arg)

virtual const double &	GetShrinkFactor () const

virtual void	SetInitialRadius (double _arg)

virtual const double &	GetInitialRadius () const

virtual void	SetEpsilon (double _arg)

virtual const double &	GetEpsilon () const

virtual const double &	GetFrobeniusNorm () const

void	SetNormalVariateGenerator (NormalVariateGeneratorType *generator)

void	Initialize (double initialRadius, double grow=-1, double shrink=-1)

virtual const MeasureType &	GetCurrentCost () const

const MeasureType &	GetValue () const override

virtual const bool &	GetInitialized () const

void	StartOptimization (bool doOnlyInitialization=false) override

void	StopOptimization ()

virtual const bool &	GetCatchGetValueException () const

virtual void	SetCatchGetValueException (bool _arg)

virtual const double &	GetMetricWorstPossibleValue () const

virtual void	SetMetricWorstPossibleValue (double _arg)

const std::string	GetStopConditionDescription () const override

	OnePlusOneEvolutionaryOptimizerv4 ()

	OnePlusOneEvolutionaryOptimizerv4 (const OnePlusOneEvolutionaryOptimizerv4 &)

	~OnePlusOneEvolutionaryOptimizerv4 () override=default

void	PrintSelf (std::ostream &os, Indent indent) const override

Additional Inherited Members
Protected Member Functions inherited from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
	ObjectToObjectOptimizerBaseTemplate ()

	~ObjectToObjectOptimizerBaseTemplate () override

Protected Member Functions inherited from itk::Object
	Object ()

	~Object () override

bool	PrintObservers (std::ostream &os, Indent indent) const

virtual void	SetTimeStamp (const TimeStamp &timeStamp)

Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer	InternalClone () const

	LightObject ()

virtual void	PrintHeader (std::ostream &os, Indent indent) const

virtual void	PrintTrailer (std::ostream &os, Indent indent) const

virtual	~LightObject ()

Protected Attributes inherited from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
MetricTypePointer	m_Metric

ThreadIdType	m_NumberOfWorkUnits

SizeValueType	m_CurrentIteration

SizeValueType	m_NumberOfIterations

MeasureType	m_CurrentMetricValue

ScalesType	m_Scales

ScalesType	m_Weights

bool	m_ScalesAreIdentity

ScalesEstimatorType::Pointer	m_ScalesEstimator

bool	m_WeightsAreIdentity

bool	m_DoEstimateScales

Protected Attributes inherited from itk::LightObject
std::atomic< int >	m_ReferenceCount

Detailed Description

template<typename TInternalComputationValueType>
class itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >

1+1 evolutionary strategy optimizer

This optimizer searches for the optimal parameters. It changes its search radius and position using the grow factor ,shrink factor, and isotropic probability function (which is a random unit normal variate generator).

This optimizer needs a cost function and a random unit normal variate generator. The cost function should return cost with new position in parameter space which will be generated by 1+1 evolutionary strategy. Users should plug-in the random unit normal variate generator using SetNormalVariateGenerator method.

The SetEpsilon method is the minimum value for the frobenius_norm of the covariance matrix. If the fnorm is smaller than this value, the optimization process will stop even before it hits the maximum iteration.

Another way to stop the optimization process is calling the StopOptimization method. At next iteration after calling it, the optimization process will stop.

This optimizing scheme was initially developed and implemented by Martin Styner, Univ. of North Carolina at Chapel Hill, and his colleagues.

For more details. refer to the following articles. "Parametric estimate of intensity inhomogeneities applied to MRI" Martin Styner, G. Gerig, Christian Brechbuehler, Gabor Szekely, IEEE TRANSACTIONS ON MEDICAL IMAGING; 19(3), pp. 153-165, 2000, (http://www.cs.unc.edu/~styner/docs/tmi00.pdf)

"Evaluation of 2D/3D bias correction with 1+1ES-optimization" Martin Styner, Prof. Dr. G. Gerig (IKT, BIWI, ETH Zuerich), TR-197 (http://www.cs.unc.edu/~styner/docs/StynerTR97.pdf)

See also: NormalVariateGenerator

Examples: Examples/RegistrationITKv4/ImageRegistration11.cxx.

Definition at line 70 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

Member Typedef Documentation

◆ ConstPointer

template<typename TInternalComputationValueType >

using itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::ConstPointer = SmartPointer<const Self>

Definition at line 78 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ CostFunctionPointer

template<typename TInternalComputationValueType >

using itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::CostFunctionPointer = CostFunctionType::Pointer

Definition at line 88 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ CostFunctionType

template<typename TInternalComputationValueType >

using itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::CostFunctionType = SingleValuedCostFunctionv4

Type of the Cost Function

Definition at line 87 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ MeasureType

template<typename TInternalComputationValueType >

using itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::MeasureType = typename Superclass::MeasureType

Measure type

Definition at line 94 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ NormalVariateGeneratorType

template<typename TInternalComputationValueType >

using itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::NormalVariateGeneratorType = Statistics::RandomVariateGeneratorBase

Normal random variate generator type.

Definition at line 91 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ ParametersType

template<typename TInternalComputationValueType >

using itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::ParametersType = typename Superclass::ParametersType

Parameters type

Definition at line 97 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ Pointer

template<typename TInternalComputationValueType >

using itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::Pointer = SmartPointer<Self>

Definition at line 77 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ ScalesType

template<typename TInternalComputationValueType >

using itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::ScalesType = typename Superclass::ScalesType

Scales type

Definition at line 100 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ Self

template<typename TInternalComputationValueType >

using itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::Self = OnePlusOneEvolutionaryOptimizerv4

Standard "Self" type alias.

Definition at line 75 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ Superclass

template<typename TInternalComputationValueType >

using itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::Superclass = ObjectToObjectOptimizerBaseTemplate<TInternalComputationValueType>

Definition at line 76 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

Constructor & Destructor Documentation

◆ OnePlusOneEvolutionaryOptimizerv4() [1/2]

template<typename TInternalComputationValueType >

itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::OnePlusOneEvolutionaryOptimizerv4 ( )

protected

Smart pointer to the normal random variate generator.

◆ OnePlusOneEvolutionaryOptimizerv4() [2/2]

template<typename TInternalComputationValueType >

itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::OnePlusOneEvolutionaryOptimizerv4 ( const OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType > & )

protected

Smart pointer to the normal random variate generator.

◆ ~OnePlusOneEvolutionaryOptimizerv4()

template<typename TInternalComputationValueType >

itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::~OnePlusOneEvolutionaryOptimizerv4 ( )

overrideprotecteddefault

Smart pointer to the normal random variate generator.

Member Function Documentation

◆ CreateAnother()

template<typename TInternalComputationValueType >

virtual::itk::LightObject::Pointer itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::CreateAnother ( ) const

virtual

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::Object.

◆ GetCatchGetValueException()

template<typename TInternalComputationValueType >

virtual const bool& itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetCatchGetValueException ( ) const

virtual

Smart pointer to the normal random variate generator.

◆ GetCurrentCost()

template<typename TInternalComputationValueType >

virtual const MeasureType& itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetCurrentCost ( ) const

virtual

Return Current Value

◆ GetEpsilon()

template<typename TInternalComputationValueType >

virtual const double& itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetEpsilon ( ) const

virtual

Smart pointer to the normal random variate generator.

◆ GetFrobeniusNorm()

template<typename TInternalComputationValueType >

virtual const double& itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetFrobeniusNorm ( ) const

virtual

Get the current Frobenius norm of covariance matrix

◆ GetGrowthFactor()

template<typename TInternalComputationValueType >

virtual const double& itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetGrowthFactor ( ) const

virtual

Smart pointer to the normal random variate generator.

◆ GetInitialized()

template<typename TInternalComputationValueType >

virtual const bool& itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetInitialized ( ) const

virtual

Return if optimizer has been initialized

◆ GetInitialRadius()

template<typename TInternalComputationValueType >

virtual const double& itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetInitialRadius ( ) const

virtual

Smart pointer to the normal random variate generator.

◆ GetMaximumIteration()

template<typename TInternalComputationValueType >

virtual const unsigned int& itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetMaximumIteration ( ) const

virtual

Smart pointer to the normal random variate generator.

◆ GetMetricWorstPossibleValue()

template<typename TInternalComputationValueType >

virtual const double& itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetMetricWorstPossibleValue ( ) const

virtual

Smart pointer to the normal random variate generator.

◆ GetNameOfClass()

template<typename TInternalComputationValueType >

virtual const char* itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

Reimplemented from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >.

◆ GetShrinkFactor()

template<typename TInternalComputationValueType >

virtual const double& itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetShrinkFactor ( ) const

virtual

Smart pointer to the normal random variate generator.

◆ GetStopConditionDescription()

template<typename TInternalComputationValueType >

const std::string itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetStopConditionDescription ( ) const

overridevirtual

Smart pointer to the normal random variate generator.

Implements itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >.

◆ GetValue()

template<typename TInternalComputationValueType >

const MeasureType& itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::GetValue ( ) const

overridevirtual

Smart pointer to the normal random variate generator.

Reimplemented from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >.

◆ Initialize()

template<typename TInternalComputationValueType >

void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::Initialize	(	double	initialRadius,
		double	grow = `-1`,
		double	shrink = `-1`
	)

Initializes the optimizer. Before running this optimizer, this function should have been called.

initialRadius: search radius in parameter space grow: search radius grow factor shrink: searhc radius shrink factor

◆ New()

template<typename TInternalComputationValueType >

static Pointer itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::New ( )

static

Method for creation through the object factory.

◆ PrintSelf()

template<typename TInternalComputationValueType >

void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)		const

overrideprotectedvirtual

Smart pointer to the normal random variate generator.

Reimplemented from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >.

◆ SetCatchGetValueException()

template<typename TInternalComputationValueType >

virtual void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::SetCatchGetValueException ( bool _arg )

virtual

Smart pointer to the normal random variate generator.

◆ SetEpsilon()

template<typename TInternalComputationValueType >

virtual void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::SetEpsilon ( double _arg )

virtual

Set/Get the minimal size of search radius (frobenius_norm of covariance matrix).

◆ SetGrowthFactor()

template<typename TInternalComputationValueType >

virtual void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::SetGrowthFactor ( double _arg )

virtual

Set/Get the search radius grow factor in parameter space.

◆ SetInitialRadius()

template<typename TInternalComputationValueType >

virtual void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::SetInitialRadius ( double _arg )

virtual

Set/Get initial search radius in parameter space

◆ SetMaximumIteration()

template<typename TInternalComputationValueType >

virtual void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::SetMaximumIteration ( unsigned int _arg )

virtual

Set/Get maximum iteration limit.

◆ SetMetricWorstPossibleValue()

template<typename TInternalComputationValueType >

virtual void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::SetMetricWorstPossibleValue ( double _arg )

virtual

Smart pointer to the normal random variate generator.

◆ SetNormalVariateGenerator()

template<typename TInternalComputationValueType >

void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::SetNormalVariateGenerator ( NormalVariateGeneratorType * generator )

Smart pointer to the normal random variate generator.

◆ SetShrinkFactor()

template<typename TInternalComputationValueType >

virtual void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::SetShrinkFactor ( double _arg )

virtual

Set/Get the search radius shrink factor.

◆ StartOptimization()

template<typename TInternalComputationValueType >

void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::StartOptimization ( bool doOnlyInitialization = false )

overridevirtual

Start optimization. Optimization will stop when it meets either of two termination conditions, the maximum iteration limit or epsilon (minimal search radius)

Reimplemented from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >.

◆ StopOptimization()

template<typename TInternalComputationValueType >

void itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::StopOptimization ( )

inline

when users call StartOptimization, this value will be set false. By calling StopOptimization, this flag will be set true, and optimization will stop at the next iteration.

Definition at line 162 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

Member Data Documentation

◆ m_CatchGetValueException

template<typename TInternalComputationValueType >

bool itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_CatchGetValueException

private

Smart pointer to the normal random variate generator.

Definition at line 190 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_CurrentCost

template<typename TInternalComputationValueType >

MeasureType itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_CurrentCost

private

Internal storage for the value type / used as a cache

Definition at line 210 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_Epsilon

template<typename TInternalComputationValueType >

double itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_Epsilon

private

The minimal size of search radius (frobenius_norm of covariance matrix).

Definition at line 195 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_FrobeniusNorm

template<typename TInternalComputationValueType >

double itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_FrobeniusNorm

private

Cache variable for reporting the Frobenius Norm

Definition at line 223 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_GrowthFactor

template<typename TInternalComputationValueType >

double itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_GrowthFactor

private

Search radius growth factor in parameter space.

Definition at line 201 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_Initialized

template<typename TInternalComputationValueType >

bool itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_Initialized

private

Flag tells if the optimizer was initialized using Initialize function.

Definition at line 207 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_InitialRadius

template<typename TInternalComputationValueType >

double itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_InitialRadius

private

Initial search radius in parameter space.

Definition at line 198 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_MaximumIteration

template<typename TInternalComputationValueType >

unsigned int itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_MaximumIteration

private

Maximum iteration limit.

Definition at line 188 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_MetricWorstPossibleValue

template<typename TInternalComputationValueType >

double itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_MetricWorstPossibleValue

private

Smart pointer to the normal random variate generator.

Definition at line 191 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_RandomGenerator

template<typename TInternalComputationValueType >

NormalVariateGeneratorType::Pointer itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_RandomGenerator

private

Smart pointer to the normal random variate generator.

Definition at line 185 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_ShrinkFactor

template<typename TInternalComputationValueType >

double itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_ShrinkFactor

private

Search radius shrink factor in parameter space,

Definition at line 204 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_Stop

template<typename TInternalComputationValueType >

bool itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_Stop

private

This is user-settable flag to stop optimization. when users call StartOptimization, this value will be set false. By calling StopOptimization, this flag will be set true, and optimization will stop at the next iteration.

Definition at line 216 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

◆ m_StopConditionDescription

template<typename TInternalComputationValueType >

std::ostringstream itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >::m_StopConditionDescription

private

Stop description

Definition at line 219 of file itkOnePlusOneEvolutionaryOptimizerv4.h.

The documentation for this class was generated from the following file:

itkOnePlusOneEvolutionaryOptimizerv4.h

Public Types

Public Member Functions

Static Public Member Functions

Additional Inherited Members

Detailed Description

template<typename TInternalComputationValueType> class itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >

Member Typedef Documentation

◆ ConstPointer

◆ CostFunctionPointer

◆ CostFunctionType

◆ MeasureType

◆ NormalVariateGeneratorType

◆ ParametersType

◆ Pointer

◆ ScalesType

◆ Self

◆ Superclass

Constructor & Destructor Documentation

◆ OnePlusOneEvolutionaryOptimizerv4() [1/2]

◆ OnePlusOneEvolutionaryOptimizerv4() [2/2]

◆ ~OnePlusOneEvolutionaryOptimizerv4()

Member Function Documentation

◆ CreateAnother()

◆ GetCatchGetValueException()

◆ GetCurrentCost()

◆ GetEpsilon()

◆ GetFrobeniusNorm()

◆ GetGrowthFactor()

◆ GetInitialized()

◆ GetInitialRadius()

◆ GetMaximumIteration()

◆ GetMetricWorstPossibleValue()

◆ GetNameOfClass()

◆ GetShrinkFactor()

◆ GetStopConditionDescription()

◆ GetValue()

◆ Initialize()

◆ New()

◆ PrintSelf()

◆ SetCatchGetValueException()

◆ SetEpsilon()

◆ SetGrowthFactor()

◆ SetInitialRadius()

◆ SetMaximumIteration()

◆ SetMetricWorstPossibleValue()

◆ SetNormalVariateGenerator()

◆ SetShrinkFactor()

◆ StartOptimization()

◆ StopOptimization()

Member Data Documentation

◆ m_CatchGetValueException

◆ m_CurrentCost

◆ m_Epsilon

◆ m_FrobeniusNorm

◆ m_GrowthFactor

◆ m_Initialized

◆ m_InitialRadius

◆ m_MaximumIteration

◆ m_MetricWorstPossibleValue

◆ m_RandomGenerator

◆ m_ShrinkFactor

◆ m_Stop

◆ m_StopConditionDescription

template<typename TInternalComputationValueType>
class itk::OnePlusOneEvolutionaryOptimizerv4< TInternalComputationValueType >