#include <itkOnePlusOneEvolutionaryOptimizer.h>

Inheritance diagram for itk::OnePlusOneEvolutionaryOptimizer:

Collaboration diagram for itk::OnePlusOneEvolutionaryOptimizer:

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef CostFunctionType::Pointer	CostFunctionPointer
typedef SingleValuedCostFunction	CostFunctionType
typedef Statistics::RandomVariateGeneratorBase	NormalVariateGeneratorType
typedef SmartPointer< Self >	Pointer
typedef OnePlusOneEvolutionaryOptimizer	Self
typedef SingleValuedNonLinearOptimizer	Superclass
Public Types inherited from itk::SingleValuedNonLinearOptimizer
typedef CostFunctionType::DerivativeType	DerivativeType
typedef CostFunctionType::MeasureType	MeasureType
typedef Superclass::ParametersType	ParametersType
Public Types inherited from itk::NonLinearOptimizer
typedef Superclass::ScalesType	ScalesType
Public Types inherited from itk::Optimizer
Public Types inherited from itk::Object
Public Types inherited from itk::LightObject

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual const bool &	GetCatchGetValueException ()
virtual const unsigned int &	GetCurrentIteration ()
virtual const double &	GetFrobeniusNorm ()
virtual const bool &	GetInitialized ()
virtual const double &	GetMetricWorstPossibleValue ()
bool	GetMinimize () const
virtual const char *	GetNameOfClass () const
const std::string	GetStopConditionDescription () const
void	Initialize (double initialRadius, double grow=-1, double shrink=-1)
void	MinimizeOff (void)
void	MinimizeOn (void)
virtual void	SetCatchGetValueException (bool _arg)
virtual void	SetMetricWorstPossibleValue (double _arg)
void	SetMinimize (bool v)
void	SetNormalVariateGenerator (NormalVariateGeneratorType *generator)
void	StartOptimization ()
void	StopOptimization ()

virtual void	SetMaximize (bool _arg)
virtual void	MaximizeOn ()
virtual void	MaximizeOff ()
virtual const bool &	GetMaximize ()

virtual void	SetMaximumIteration (unsigned int _arg)
virtual const unsigned int &	GetMaximumIteration ()

virtual void	SetGrowthFactor (double _arg)
virtual const double &	GetGrowthFactor ()

virtual void	SetShrinkFactor (double _arg)
virtual const double &	GetShrinkFactor ()

virtual void	SetInitialRadius (double _arg)
virtual const double &	GetInitialRadius ()

virtual void	SetEpsilon (double _arg)
virtual const double &	GetEpsilon ()

virtual const MeasureType &	GetCurrentCost ()
MeasureType	GetValue () const
Public Member Functions inherited from itk::SingleValuedNonLinearOptimizer
virtual const CostFunctionType *	GetCostFunction ()
MeasureType	GetValue (const ParametersType &parameters) const
virtual void	SetCostFunction (CostFunctionType *costFunction)

Static Public Member Functions
static Pointer	New ()

Protected Member Functions
	OnePlusOneEvolutionaryOptimizer ()
	OnePlusOneEvolutionaryOptimizer (const OnePlusOneEvolutionaryOptimizer &)
void	PrintSelf (std::ostream &os, Indent indent) const
virtual	~OnePlusOneEvolutionaryOptimizer ()
Protected Member Functions inherited from itk::SingleValuedNonLinearOptimizer
	SingleValuedNonLinearOptimizer ()
virtual	~SingleValuedNonLinearOptimizer ()
	NonLinearOptimizer ()
virtual	~NonLinearOptimizer ()
Protected Member Functions inherited from itk::Optimizer
	Optimizer ()
virtual void	SetCurrentPosition (const ParametersType &param)
virtual	~Optimizer ()
Protected Member Functions inherited from itk::Object
	Object ()
bool	PrintObservers (std::ostream &os, Indent indent) const
virtual void	SetTimeStamp (const TimeStamp &time)
virtual	~Object ()
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 ()

Private Attributes
bool	m_CatchGetValueException
MeasureType	m_CurrentCost
unsigned int	m_CurrentIteration
double	m_Epsilon
double	m_FrobeniusNorm
double	m_GrowthFactor
bool	m_Initialized
double	m_InitialRadius
bool	m_Maximize
unsigned int	m_MaximumIteration
double	m_MetricWorstPossibleValue
NormalVariateGeneratorType::Pointer	m_RandomGenerator
double	m_ShrinkFactor
bool	m_Stop
std::ostringstream	m_StopConditionDescription

Additional Inherited Members
Protected Attributes inherited from itk::SingleValuedNonLinearOptimizer
CostFunctionPointer	m_CostFunction

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

Definition at line 70 of file itkOnePlusOneEvolutionaryOptimizer.h.

Member Typedef Documentation

typedef SmartPointer< const Self > itk::OnePlusOneEvolutionaryOptimizer::ConstPointer

Reimplemented from itk::SingleValuedNonLinearOptimizer.

Definition at line 78 of file itkOnePlusOneEvolutionaryOptimizer.h.

typedef CostFunctionType::Pointer itk::OnePlusOneEvolutionaryOptimizer::CostFunctionPointer

Reimplemented from itk::SingleValuedNonLinearOptimizer.

Definition at line 88 of file itkOnePlusOneEvolutionaryOptimizer.h.

typedef SingleValuedCostFunction itk::OnePlusOneEvolutionaryOptimizer::CostFunctionType

Type of the Cost Function

Reimplemented from itk::SingleValuedNonLinearOptimizer.

Definition at line 84 of file itkOnePlusOneEvolutionaryOptimizer.h.

typedef Statistics::RandomVariateGeneratorBase itk::OnePlusOneEvolutionaryOptimizer::NormalVariateGeneratorType

Normal random variate generator type.

Definition at line 91 of file itkOnePlusOneEvolutionaryOptimizer.h.

typedef SmartPointer< Self > itk::OnePlusOneEvolutionaryOptimizer::Pointer

Reimplemented from itk::SingleValuedNonLinearOptimizer.

Definition at line 77 of file itkOnePlusOneEvolutionaryOptimizer.h.

typedef OnePlusOneEvolutionaryOptimizer itk::OnePlusOneEvolutionaryOptimizer::Self

Standard "Self" typedef.

Reimplemented from itk::SingleValuedNonLinearOptimizer.

Definition at line 75 of file itkOnePlusOneEvolutionaryOptimizer.h.

typedef SingleValuedNonLinearOptimizer itk::OnePlusOneEvolutionaryOptimizer::Superclass

Reimplemented from itk::SingleValuedNonLinearOptimizer.

Definition at line 76 of file itkOnePlusOneEvolutionaryOptimizer.h.

Constructor & Destructor Documentation

itk::OnePlusOneEvolutionaryOptimizer::OnePlusOneEvolutionaryOptimizer ( )

protected

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

protected

virtual itk::OnePlusOneEvolutionaryOptimizer::~OnePlusOneEvolutionaryOptimizer ( )

protectedvirtual

Member Function Documentation

virtual::itk::LightObject::Pointer itk::OnePlusOneEvolutionaryOptimizer::CreateAnother ( void ) 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::SingleValuedNonLinearOptimizer.

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

virtual

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

virtual

Return Current Value

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

virtual

Return Current Iteration

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

virtual

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

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

virtual

Get the current Frobenius norm of covariance matrix

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

virtual

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

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

virtual

Return if optimizer has been initialized

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

virtual

Set/Get initial search radius in parameter space

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

virtual

Set if the Optimizer should Maximize the metric

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

virtual

Set/Get maximum iteration limit.

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

virtual

bool itk::OnePlusOneEvolutionaryOptimizer::GetMinimize ( ) const

inline

Definition at line 99 of file itkOnePlusOneEvolutionaryOptimizer.h.

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

virtual

Run-time type information (and related methods).

Reimplemented from itk::SingleValuedNonLinearOptimizer.

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

virtual

Set/Get the search radius shrink factor.

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

virtual

Get the reason for termination

Reimplemented from itk::Optimizer.

MeasureType itk::OnePlusOneEvolutionaryOptimizer::GetValue ( ) const

inline

Return Current Value

Definition at line 149 of file itkOnePlusOneEvolutionaryOptimizer.h.

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: searhc radius shrink factor

virtual void itk::OnePlusOneEvolutionaryOptimizer::MaximizeOff ( )

virtual

Set if the Optimizer should Maximize the metric

virtual void itk::OnePlusOneEvolutionaryOptimizer::MaximizeOn ( )

virtual

Set if the Optimizer should Maximize the metric

void itk::OnePlusOneEvolutionaryOptimizer::MinimizeOff ( void )

inline

Definition at line 105 of file itkOnePlusOneEvolutionaryOptimizer.h.

void itk::OnePlusOneEvolutionaryOptimizer::MinimizeOn ( void )

inline

Definition at line 103 of file itkOnePlusOneEvolutionaryOptimizer.h.

static Pointer itk::OnePlusOneEvolutionaryOptimizer::New ( )

static

Method for creation through the object factory.

Reimplemented from itk::SingleValuedNonLinearOptimizer.

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

protectedvirtual

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Reimplemented from itk::SingleValuedNonLinearOptimizer.

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

virtual

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

virtual

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

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

virtual

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

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

virtual

Set/Get initial search radius in parameter space

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

virtual

Set if the Optimizer should Maximize the metric

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

virtual

Set/Get maximum iteration limit.

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

virtual

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

inline

Definition at line 101 of file itkOnePlusOneEvolutionaryOptimizer.h.

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

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

virtual

Set/Get the search radius shrink factor.

void itk::OnePlusOneEvolutionaryOptimizer::StartOptimization ( )

virtual

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.

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 166 of file itkOnePlusOneEvolutionaryOptimizer.h.

Member Data Documentation

bool itk::OnePlusOneEvolutionaryOptimizer::m_CatchGetValueException

private

Definition at line 194 of file itkOnePlusOneEvolutionaryOptimizer.h.

MeasureType itk::OnePlusOneEvolutionaryOptimizer::m_CurrentCost

private

Internal storage for the value type / used as a cache

Definition at line 217 of file itkOnePlusOneEvolutionaryOptimizer.h.

unsigned int itk::OnePlusOneEvolutionaryOptimizer::m_CurrentIteration

private

Current iteration

Definition at line 192 of file itkOnePlusOneEvolutionaryOptimizer.h.

double itk::OnePlusOneEvolutionaryOptimizer::m_Epsilon

private

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

Definition at line 202 of file itkOnePlusOneEvolutionaryOptimizer.h.

double itk::OnePlusOneEvolutionaryOptimizer::m_FrobeniusNorm

private

Cache variable for reporting the Frobenius Norm

Definition at line 230 of file itkOnePlusOneEvolutionaryOptimizer.h.

double itk::OnePlusOneEvolutionaryOptimizer::m_GrowthFactor

private

Search radius growth factor in parameter space.

Definition at line 208 of file itkOnePlusOneEvolutionaryOptimizer.h.

bool itk::OnePlusOneEvolutionaryOptimizer::m_Initialized

private

Flag tells if the optimizer was initialized using Initialize function.

Definition at line 214 of file itkOnePlusOneEvolutionaryOptimizer.h.

double itk::OnePlusOneEvolutionaryOptimizer::m_InitialRadius

private

Initial search radius in parameter space.

Definition at line 205 of file itkOnePlusOneEvolutionaryOptimizer.h.

bool itk::OnePlusOneEvolutionaryOptimizer::m_Maximize

private

Set if the Metric should be maximized: Default = False

Definition at line 198 of file itkOnePlusOneEvolutionaryOptimizer.h.

unsigned int itk::OnePlusOneEvolutionaryOptimizer::m_MaximumIteration

private

Maximum iteration limit.

Definition at line 189 of file itkOnePlusOneEvolutionaryOptimizer.h.

double itk::OnePlusOneEvolutionaryOptimizer::m_MetricWorstPossibleValue

private

Definition at line 195 of file itkOnePlusOneEvolutionaryOptimizer.h.

NormalVariateGeneratorType::Pointer itk::OnePlusOneEvolutionaryOptimizer::m_RandomGenerator

private

Smart pointer to the normal random variate generator.

Definition at line 186 of file itkOnePlusOneEvolutionaryOptimizer.h.

double itk::OnePlusOneEvolutionaryOptimizer::m_ShrinkFactor

private

Search radius shrink factor in parameter space,

Definition at line 211 of file itkOnePlusOneEvolutionaryOptimizer.h.

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 223 of file itkOnePlusOneEvolutionaryOptimizer.h.

std::ostringstream itk::OnePlusOneEvolutionaryOptimizer::m_StopConditionDescription

private

Stop description

Definition at line 226 of file itkOnePlusOneEvolutionaryOptimizer.h.

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