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ITK
4.0.0
Insight Segmentation and Registration Toolkit
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ITK
4.0.0
Insight Segmentation and Registration Toolkit
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1+1 evolutionary strategy optimizer More...
#include <itkOnePlusOneEvolutionaryOptimizer.h>
Inheritance diagram for itk::OnePlusOneEvolutionaryOptimizer: Collaboration diagram for itk::OnePlusOneEvolutionaryOptimizer: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.
| typedef SmartPointer< const Self > itk::OnePlusOneEvolutionaryOptimizer::ConstPointer |
Reimplemented from itk::SingleValuedNonLinearOptimizer.
Definition at line 78 of file itkOnePlusOneEvolutionaryOptimizer.h.
Reimplemented from itk::SingleValuedNonLinearOptimizer.
Definition at line 88 of file itkOnePlusOneEvolutionaryOptimizer.h.
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.
Reimplemented from itk::SingleValuedNonLinearOptimizer.
Definition at line 77 of file itkOnePlusOneEvolutionaryOptimizer.h.
Standard "Self" typedef.
Reimplemented from itk::SingleValuedNonLinearOptimizer.
Definition at line 75 of file itkOnePlusOneEvolutionaryOptimizer.h.
Reimplemented from itk::SingleValuedNonLinearOptimizer.
Definition at line 76 of file itkOnePlusOneEvolutionaryOptimizer.h.
| itk::OnePlusOneEvolutionaryOptimizer::OnePlusOneEvolutionaryOptimizer | ( | ) | [protected] |
| itk::OnePlusOneEvolutionaryOptimizer::OnePlusOneEvolutionaryOptimizer | ( | const OnePlusOneEvolutionaryOptimizer & | ) | [protected] |
| virtual itk::OnePlusOneEvolutionaryOptimizer::~OnePlusOneEvolutionaryOptimizer | ( | ) | [protected, virtual] |
| 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 [protected, virtual] |
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.
Definition at line 194 of file itkOnePlusOneEvolutionaryOptimizer.h.
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.
1.7.4
