#include <itkOnePlusOneEvolutionaryOptimizer.h>

Inheritance diagram for itk::OnePlusOneEvolutionaryOptimizer:

Collaboration diagram for itk::OnePlusOneEvolutionaryOptimizer:

Public Types
using	ConstPointer = SmartPointer< const Self >

using	CostFunctionPointer = CostFunctionType::Pointer

using	CostFunctionType = SingleValuedCostFunction

using	NormalVariateGeneratorType = Statistics::RandomVariateGeneratorBase

using	Pointer = SmartPointer< Self >

using	Self = OnePlusOneEvolutionaryOptimizer

using	Superclass = SingleValuedNonLinearOptimizer

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

using	CostFunctionPointer = CostFunctionType::Pointer

using	CostFunctionType = SingleValuedCostFunction

using	DerivativeType = CostFunctionType::DerivativeType

using	MeasureType = CostFunctionType::MeasureType

using	ParametersType = Superclass::ParametersType

using	Pointer = SmartPointer< Self >

using	Self = SingleValuedNonLinearOptimizer

using	Superclass = NonLinearOptimizer

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

using	ParametersType = Superclass::ParametersType

using	Pointer = SmartPointer< Self >

using	ScalesType = Superclass::ScalesType

using	Self = NonLinearOptimizer

using	Superclass = Optimizer

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

using	ParametersType = OptimizerParameters< double >

using	Pointer = SmartPointer< Self >

using	ScalesType = Array< double >

using	Self = Optimizer

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::SingleValuedNonLinearOptimizer
virtual ::itk::LightObject::Pointer	CreateAnother () const

virtual const CostFunctionType *	GetCostFunction () const

virtual CostFunctionType *	GetModifiableCostFunction ()

MeasureType	GetValue (const ParametersType &parameters) const

virtual void	SetCostFunction (CostFunctionType *costFunction)

Public Member Functions inherited from itk::Optimizer
virtual const ParametersType &	GetInitialPosition () const

virtual void	SetInitialPosition (const ParametersType &param)

void	SetScales (const ScalesType &scales)

virtual const ScalesType &	GetScales () const

virtual const ScalesType &	GetInverseScales () 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::SingleValuedNonLinearOptimizer
static Pointer	New ()

Static Public Member Functions inherited from itk::NonLinearOptimizer
static Pointer	New ()

Static Public Member Functions inherited from itk::Optimizer
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

unsigned int	m_CurrentIteration

bool	m_CatchGetValueException

double	m_MetricWorstPossibleValue

bool	m_Maximize

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	SetMaximize (bool _arg)

virtual void	MaximizeOn ()

virtual void	MaximizeOff ()

virtual const bool &	GetMaximize () const

bool	GetMinimize () const

void	SetMinimize (bool v)

void	MinimizeOn ()

void	MinimizeOff ()

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

MeasureType	GetValue () const

virtual const unsigned int &	GetCurrentIteration () const

virtual const bool &	GetInitialized () const

void	StartOptimization () 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

	OnePlusOneEvolutionaryOptimizer ()

	OnePlusOneEvolutionaryOptimizer (const OnePlusOneEvolutionaryOptimizer &)

	~OnePlusOneEvolutionaryOptimizer () override=default

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

Additional Inherited Members
Protected Member Functions inherited from itk::SingleValuedNonLinearOptimizer
void	PrintSelf (std::ostream &os, Indent indent) const override

	SingleValuedNonLinearOptimizer ()

	~SingleValuedNonLinearOptimizer () override=default

Protected Member Functions inherited from itk::NonLinearOptimizer
	NonLinearOptimizer ()=default

	~NonLinearOptimizer () override

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

	~Optimizer () override=default

virtual void	SetCurrentPosition (const ParametersType &param)

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::SingleValuedNonLinearOptimizer
CostFunctionPointer	m_CostFunction

Protected Attributes inherited from itk::Optimizer
bool	m_ScalesInitialized { false }

ParametersType	m_CurrentPosition

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

Detailed Description

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/ImageRegistration14.cxx, Examples/RegistrationITKv4/ImageRegistration15.cxx, Examples/RegistrationITKv4/ModelToImageRegistration1.cxx, and Examples/Segmentation/GeodesicActiveContourShapePriorLevelSetImageFilter.cxx.

Definition at line 71 of file itkOnePlusOneEvolutionaryOptimizer.h.

Member Typedef Documentation

◆ ConstPointer

using itk::OnePlusOneEvolutionaryOptimizer::ConstPointer = SmartPointer<const Self>

Definition at line 78 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ CostFunctionPointer

using itk::OnePlusOneEvolutionaryOptimizer::CostFunctionPointer = CostFunctionType::Pointer

Definition at line 88 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ CostFunctionType

using itk::OnePlusOneEvolutionaryOptimizer::CostFunctionType = SingleValuedCostFunction

Type of the Cost Function

Definition at line 87 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ NormalVariateGeneratorType

using itk::OnePlusOneEvolutionaryOptimizer::NormalVariateGeneratorType = Statistics::RandomVariateGeneratorBase

Normal random variate generator type.

Definition at line 91 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ Pointer

using itk::OnePlusOneEvolutionaryOptimizer::Pointer = SmartPointer<Self>

Definition at line 77 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ Self

using itk::OnePlusOneEvolutionaryOptimizer::Self = OnePlusOneEvolutionaryOptimizer

Standard "Self" type alias.

Definition at line 75 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ Superclass

using itk::OnePlusOneEvolutionaryOptimizer::Superclass = SingleValuedNonLinearOptimizer

Definition at line 76 of file itkOnePlusOneEvolutionaryOptimizer.h.

Constructor & Destructor Documentation

◆ OnePlusOneEvolutionaryOptimizer() [1/2]

itk::OnePlusOneEvolutionaryOptimizer::OnePlusOneEvolutionaryOptimizer ( )

protected

Smart pointer to the normal random variate generator.

◆ OnePlusOneEvolutionaryOptimizer() [2/2]

itk::OnePlusOneEvolutionaryOptimizer::OnePlusOneEvolutionaryOptimizer ( const OnePlusOneEvolutionaryOptimizer & )

protected

Smart pointer to the normal random variate generator.

◆ ~OnePlusOneEvolutionaryOptimizer()

itk::OnePlusOneEvolutionaryOptimizer::~OnePlusOneEvolutionaryOptimizer ( )

overrideprotecteddefault

Smart pointer to the normal random variate generator.

Member Function Documentation

◆ CreateAnother()

virtual::itk::LightObject::Pointer itk::OnePlusOneEvolutionaryOptimizer::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::NonLinearOptimizer.

◆ GetCatchGetValueException()

virtual const bool& itk::OnePlusOneEvolutionaryOptimizer::GetCatchGetValueException ( ) const

virtual

Smart pointer to the normal random variate generator.

◆ GetCurrentCost()

virtual const MeasureType& itk::OnePlusOneEvolutionaryOptimizer::GetCurrentCost ( ) const

virtual

Return Current Value

◆ GetCurrentIteration()

virtual const unsigned int& itk::OnePlusOneEvolutionaryOptimizer::GetCurrentIteration ( ) const

virtual

Return Current Iteration

◆ GetEpsilon()

virtual const double& itk::OnePlusOneEvolutionaryOptimizer::GetEpsilon ( ) const

virtual

Smart pointer to the normal random variate generator.

◆ GetFrobeniusNorm()

virtual const double& itk::OnePlusOneEvolutionaryOptimizer::GetFrobeniusNorm ( ) const

virtual

Get the current Frobenius norm of covariance matrix

◆ GetGrowthFactor()

virtual const double& itk::OnePlusOneEvolutionaryOptimizer::GetGrowthFactor ( ) const

virtual

Smart pointer to the normal random variate generator.

◆ GetInitialized()

virtual const bool& itk::OnePlusOneEvolutionaryOptimizer::GetInitialized ( ) const

virtual

Return if optimizer has been initialized

◆ GetInitialRadius()

virtual const double& itk::OnePlusOneEvolutionaryOptimizer::GetInitialRadius ( ) const

virtual

Smart pointer to the normal random variate generator.

◆ GetMaximize()

virtual const bool& itk::OnePlusOneEvolutionaryOptimizer::GetMaximize ( ) const

virtual

Smart pointer to the normal random variate generator.

◆ GetMaximumIteration()

virtual const unsigned int& itk::OnePlusOneEvolutionaryOptimizer::GetMaximumIteration ( ) const

virtual

Smart pointer to the normal random variate generator.

◆ GetMetricWorstPossibleValue()

virtual const double& itk::OnePlusOneEvolutionaryOptimizer::GetMetricWorstPossibleValue ( ) const

virtual

Smart pointer to the normal random variate generator.

◆ GetMinimize()

bool itk::OnePlusOneEvolutionaryOptimizer::GetMinimize ( ) const

inline

Smart pointer to the normal random variate generator.

Definition at line 100 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ GetNameOfClass()

virtual const char* itk::OnePlusOneEvolutionaryOptimizer::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

Reimplemented from itk::SingleValuedNonLinearOptimizer.

◆ GetShrinkFactor()

virtual const double& itk::OnePlusOneEvolutionaryOptimizer::GetShrinkFactor ( ) const

virtual

Smart pointer to the normal random variate generator.

◆ GetStopConditionDescription()

const std::string itk::OnePlusOneEvolutionaryOptimizer::GetStopConditionDescription ( ) const

overridevirtual

Smart pointer to the normal random variate generator.

Reimplemented from itk::Optimizer.

◆ GetValue()

MeasureType itk::OnePlusOneEvolutionaryOptimizer::GetValue ( ) const

inline

Smart pointer to the normal random variate generator.

Definition at line 164 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ Initialize()

void itk::OnePlusOneEvolutionaryOptimizer::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: search radius shrink factor

◆ MaximizeOff()

virtual void itk::OnePlusOneEvolutionaryOptimizer::MaximizeOff ( )

virtual

Smart pointer to the normal random variate generator.

◆ MaximizeOn()

virtual void itk::OnePlusOneEvolutionaryOptimizer::MaximizeOn ( )

virtual

Smart pointer to the normal random variate generator.

◆ MinimizeOff()

void itk::OnePlusOneEvolutionaryOptimizer::MinimizeOff ( )

inline

Smart pointer to the normal random variate generator.

Definition at line 115 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ MinimizeOn()

void itk::OnePlusOneEvolutionaryOptimizer::MinimizeOn ( )

inline

Smart pointer to the normal random variate generator.

Definition at line 110 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ New()

static Pointer itk::OnePlusOneEvolutionaryOptimizer::New ( )

static

Method for creation through the object factory.

◆ PrintSelf()

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

overrideprotectedvirtual

Smart pointer to the normal random variate generator.

Reimplemented from itk::Object.

◆ SetCatchGetValueException()

virtual void itk::OnePlusOneEvolutionaryOptimizer::SetCatchGetValueException ( bool _arg )

virtual

Smart pointer to the normal random variate generator.

◆ SetEpsilon()

virtual void itk::OnePlusOneEvolutionaryOptimizer::SetEpsilon ( double _arg )

virtual

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

◆ SetGrowthFactor()

virtual void itk::OnePlusOneEvolutionaryOptimizer::SetGrowthFactor ( double _arg )

virtual

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

◆ SetInitialRadius()

virtual void itk::OnePlusOneEvolutionaryOptimizer::SetInitialRadius ( double _arg )

virtual

Set/Get initial search radius in parameter space

◆ SetMaximize()

virtual void itk::OnePlusOneEvolutionaryOptimizer::SetMaximize ( bool _arg )

virtual

Set if the Optimizer should Maximize the metric

◆ SetMaximumIteration()

virtual void itk::OnePlusOneEvolutionaryOptimizer::SetMaximumIteration ( unsigned int _arg )

virtual

Set/Get maximum iteration limit.

◆ SetMetricWorstPossibleValue()

virtual void itk::OnePlusOneEvolutionaryOptimizer::SetMetricWorstPossibleValue ( double _arg )

virtual

Smart pointer to the normal random variate generator.

◆ SetMinimize()

void itk::OnePlusOneEvolutionaryOptimizer::SetMinimize ( bool v )

inline

Smart pointer to the normal random variate generator.

Definition at line 105 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ SetNormalVariateGenerator()

void itk::OnePlusOneEvolutionaryOptimizer::SetNormalVariateGenerator ( NormalVariateGeneratorType * generator )

Smart pointer to the normal random variate generator.

◆ SetShrinkFactor()

virtual void itk::OnePlusOneEvolutionaryOptimizer::SetShrinkFactor ( double _arg )

virtual

Set/Get the search radius shrink factor.

◆ StartOptimization()

void itk::OnePlusOneEvolutionaryOptimizer::StartOptimization ( )

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::Optimizer.

◆ StopOptimization()

void itk::OnePlusOneEvolutionaryOptimizer::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 186 of file itkOnePlusOneEvolutionaryOptimizer.h.

Member Data Documentation

◆ m_CatchGetValueException

bool itk::OnePlusOneEvolutionaryOptimizer::m_CatchGetValueException

private

Smart pointer to the normal random variate generator.

Definition at line 217 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ m_CurrentCost

MeasureType itk::OnePlusOneEvolutionaryOptimizer::m_CurrentCost

private

Internal storage for the value type / used as a cache

Definition at line 240 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ m_CurrentIteration

unsigned int itk::OnePlusOneEvolutionaryOptimizer::m_CurrentIteration

private

Current iteration

Definition at line 215 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ m_Epsilon

double itk::OnePlusOneEvolutionaryOptimizer::m_Epsilon

private

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

Definition at line 225 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ m_FrobeniusNorm

double itk::OnePlusOneEvolutionaryOptimizer::m_FrobeniusNorm

private

Cache variable for reporting the Frobenius Norm

Definition at line 253 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ m_GrowthFactor

double itk::OnePlusOneEvolutionaryOptimizer::m_GrowthFactor

private

Search radius growth factor in parameter space.

Definition at line 231 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ m_Initialized

bool itk::OnePlusOneEvolutionaryOptimizer::m_Initialized

private

Flag tells if the optimizer was initialized using Initialize function.

Definition at line 237 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ m_InitialRadius

double itk::OnePlusOneEvolutionaryOptimizer::m_InitialRadius

private

Initial search radius in parameter space.

Definition at line 228 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ m_Maximize

bool itk::OnePlusOneEvolutionaryOptimizer::m_Maximize

private

Set if the Metric should be maximized: Default = False

Definition at line 221 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ m_MaximumIteration

unsigned int itk::OnePlusOneEvolutionaryOptimizer::m_MaximumIteration

private

Maximum iteration limit.

Definition at line 212 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ m_MetricWorstPossibleValue

double itk::OnePlusOneEvolutionaryOptimizer::m_MetricWorstPossibleValue

private

Smart pointer to the normal random variate generator.

Definition at line 218 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ m_RandomGenerator

NormalVariateGeneratorType::Pointer itk::OnePlusOneEvolutionaryOptimizer::m_RandomGenerator

private

Smart pointer to the normal random variate generator.

Definition at line 209 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ m_ShrinkFactor

double itk::OnePlusOneEvolutionaryOptimizer::m_ShrinkFactor

private

Search radius shrink factor in parameter space,

Definition at line 234 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ m_Stop

bool itk::OnePlusOneEvolutionaryOptimizer::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 246 of file itkOnePlusOneEvolutionaryOptimizer.h.

◆ m_StopConditionDescription

std::ostringstream itk::OnePlusOneEvolutionaryOptimizer::m_StopConditionDescription

private

Stop description

Definition at line 249 of file itkOnePlusOneEvolutionaryOptimizer.h.

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

itkOnePlusOneEvolutionaryOptimizer.h

Public Types

Public Member Functions

Static Public Member Functions

Additional Inherited Members

Detailed Description

Member Typedef Documentation

◆ ConstPointer

◆ CostFunctionPointer

◆ CostFunctionType

◆ NormalVariateGeneratorType

◆ Pointer

◆ Self

◆ Superclass

Constructor & Destructor Documentation

◆ OnePlusOneEvolutionaryOptimizer() [1/2]

◆ OnePlusOneEvolutionaryOptimizer() [2/2]

◆ ~OnePlusOneEvolutionaryOptimizer()

Member Function Documentation

◆ CreateAnother()

◆ GetCatchGetValueException()

◆ GetCurrentCost()

◆ GetCurrentIteration()

◆ GetEpsilon()

◆ GetFrobeniusNorm()

◆ GetGrowthFactor()

◆ GetInitialized()

◆ GetInitialRadius()

◆ GetMaximize()

◆ GetMaximumIteration()

◆ GetMetricWorstPossibleValue()

◆ GetMinimize()

◆ GetNameOfClass()

◆ GetShrinkFactor()

◆ GetStopConditionDescription()

◆ GetValue()

◆ Initialize()

◆ MaximizeOff()

◆ MaximizeOn()

◆ MinimizeOff()

◆ MinimizeOn()

◆ New()

◆ PrintSelf()

◆ SetCatchGetValueException()

◆ SetEpsilon()

◆ SetGrowthFactor()

◆ SetInitialRadius()

◆ SetMaximize()

◆ SetMaximumIteration()

◆ SetMetricWorstPossibleValue()

◆ SetMinimize()

◆ SetNormalVariateGenerator()

◆ SetShrinkFactor()

◆ StartOptimization()

◆ StopOptimization()

Member Data Documentation

◆ m_CatchGetValueException

◆ m_CurrentCost

◆ m_CurrentIteration

◆ m_Epsilon

◆ m_FrobeniusNorm

◆ m_GrowthFactor

◆ m_Initialized

◆ m_InitialRadius

◆ m_Maximize

◆ m_MaximumIteration

◆ m_MetricWorstPossibleValue

◆ m_RandomGenerator

◆ m_ShrinkFactor

◆ m_Stop

◆ m_StopConditionDescription