ITK
4.3.0
Insight Segmentation and Registration Toolkit
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#include <itkOnePlusOneEvolutionaryOptimizer.h>
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)
Definition at line 70 of file itkOnePlusOneEvolutionaryOptimizer.h.
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 ::itk::LightObject::Pointer | CreateAnother (void) const |
virtual const CostFunctionType * | GetCostFunction () |
MeasureType | GetValue (const ParametersType ¶meters) const |
virtual void | SetCostFunction (CostFunctionType *costFunction) |
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 flag) |
Static Public Member Functions inherited from itk::LightObject | |
static void | BreakOnError () |
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 | |
void | PrintSelf (std::ostream &os, Indent indent) const |
SingleValuedNonLinearOptimizer () | |
virtual | ~SingleValuedNonLinearOptimizer () |
Protected Member Functions inherited from itk::NonLinearOptimizer | |
NonLinearOptimizer () | |
virtual | ~NonLinearOptimizer () |
Protected Member Functions inherited from itk::Optimizer | |
Optimizer () | |
virtual void | SetCurrentPosition (const ParametersType ¶m) |
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 Types inherited from itk::LightObject | |
typedef int | InternalReferenceCountType |
Protected Attributes inherited from itk::SingleValuedNonLinearOptimizer | |
CostFunctionPointer | m_CostFunction |
typedef SmartPointer< const Self > itk::OnePlusOneEvolutionaryOptimizer::ConstPointer |
Definition at line 78 of file itkOnePlusOneEvolutionaryOptimizer.h.
Definition at line 88 of file itkOnePlusOneEvolutionaryOptimizer.h.
Type of the Cost Function
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.
Definition at line 77 of file itkOnePlusOneEvolutionaryOptimizer.h.
Standard "Self" typedef.
Definition at line 75 of file itkOnePlusOneEvolutionaryOptimizer.h.
Definition at line 76 of file itkOnePlusOneEvolutionaryOptimizer.h.
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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.
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Return Current Value
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Return Current Iteration
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Set/Get the minimal size of search radius (frobenius_norm of covariance matrix).
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Get the current Frobenius norm of covariance matrix
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Set/Get the search radius grow factor in parameter space.
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Return if optimizer has been initialized
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Set/Get initial search radius in parameter space
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Set if the Optimizer should Maximize the metric
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Set/Get maximum iteration limit.
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Definition at line 99 of file itkOnePlusOneEvolutionaryOptimizer.h.
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Run-time type information (and related methods).
Reimplemented from itk::SingleValuedNonLinearOptimizer.
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Set/Get the search radius shrink factor.
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Get the reason for termination
Reimplemented from itk::Optimizer.
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Return Current Value
Definition at line 149 of file itkOnePlusOneEvolutionaryOptimizer.h.
void itk::OnePlusOneEvolutionaryOptimizer::Initialize | ( | double | initialRadius, |
double | grow = -1 , |
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double | shrink = -1 |
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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
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Set if the Optimizer should Maximize the metric
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Set if the Optimizer should Maximize the metric
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Definition at line 105 of file itkOnePlusOneEvolutionaryOptimizer.h.
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Definition at line 103 of file itkOnePlusOneEvolutionaryOptimizer.h.
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Method for creation through the object factory.
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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::Object.
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Set/Get the minimal size of search radius (frobenius_norm of covariance matrix).
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Set/Get the search radius grow factor in parameter space.
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Set/Get initial search radius in parameter space
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Set if the Optimizer should Maximize the metric
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Set/Get maximum iteration limit.
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Definition at line 101 of file itkOnePlusOneEvolutionaryOptimizer.h.
void itk::OnePlusOneEvolutionaryOptimizer::SetNormalVariateGenerator | ( | NormalVariateGeneratorType * | generator | ) |
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Set/Get the search radius shrink factor.
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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.
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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.
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Definition at line 194 of file itkOnePlusOneEvolutionaryOptimizer.h.
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Internal storage for the value type / used as a cache
Definition at line 217 of file itkOnePlusOneEvolutionaryOptimizer.h.
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Current iteration
Definition at line 192 of file itkOnePlusOneEvolutionaryOptimizer.h.
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The minimal size of search radius (frobenius_norm of covariance matrix).
Definition at line 202 of file itkOnePlusOneEvolutionaryOptimizer.h.
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Cache variable for reporting the Frobenius Norm
Definition at line 230 of file itkOnePlusOneEvolutionaryOptimizer.h.
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Search radius growth factor in parameter space.
Definition at line 208 of file itkOnePlusOneEvolutionaryOptimizer.h.
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Flag tells if the optimizer was initialized using Initialize function.
Definition at line 214 of file itkOnePlusOneEvolutionaryOptimizer.h.
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Initial search radius in parameter space.
Definition at line 205 of file itkOnePlusOneEvolutionaryOptimizer.h.
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Set if the Metric should be maximized: Default = False
Definition at line 198 of file itkOnePlusOneEvolutionaryOptimizer.h.
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Maximum iteration limit.
Definition at line 189 of file itkOnePlusOneEvolutionaryOptimizer.h.
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Definition at line 195 of file itkOnePlusOneEvolutionaryOptimizer.h.
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Smart pointer to the normal random variate generator.
Definition at line 186 of file itkOnePlusOneEvolutionaryOptimizer.h.
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Search radius shrink factor in parameter space,
Definition at line 211 of file itkOnePlusOneEvolutionaryOptimizer.h.
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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.
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Stop description
Definition at line 226 of file itkOnePlusOneEvolutionaryOptimizer.h.