ITK  4.6.0
Insight Segmentation and Registration Toolkit
itkOnePlusOneEvolutionaryOptimizer.h
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18 #ifndef __itkOnePlusOneEvolutionaryOptimizer_h
19 #define __itkOnePlusOneEvolutionaryOptimizer_h
20 
23 #include <string>
24 
25 namespace itk
26 {
72 {
73 public:
79 
81  itkNewMacro(Self);
82 
85 
89 
92 
94  itkSetMacro(Maximize, bool);
95  itkBooleanMacro(Maximize);
96  itkGetConstReferenceMacro(Maximize, bool);
98 
99  bool GetMinimize() const
100  { return !m_Maximize; }
101  void SetMinimize(bool v)
102  { this->SetMaximize(!v); }
103  void MinimizeOn(void)
104  { SetMaximize(false); }
105  void MinimizeOff(void)
106  { SetMaximize(true); }
107 
109  itkSetMacro(MaximumIteration, unsigned int);
110  itkGetConstReferenceMacro(MaximumIteration, unsigned int);
112 
114  itkSetMacro(GrowthFactor, double);
115  itkGetConstReferenceMacro(GrowthFactor, double);
117 
119  itkSetMacro(ShrinkFactor, double);
120  itkGetConstReferenceMacro(ShrinkFactor, double);
122 
124  itkSetMacro(InitialRadius, double);
125  itkGetConstReferenceMacro(InitialRadius, double);
127 
130  itkSetMacro(Epsilon, double);
131  itkGetConstReferenceMacro(Epsilon, double);
133 
135  itkGetConstReferenceMacro(FrobeniusNorm, double);
136 
138 
145  void Initialize(double initialRadius, double grow = -1, double shrink = -1);
146 
148  itkGetConstReferenceMacro(CurrentCost, MeasureType);
149  MeasureType GetValue() const { return this->GetCurrentCost(); }
151 
153  itkGetConstReferenceMacro(CurrentIteration, unsigned int);
154 
156  itkGetConstReferenceMacro(Initialized, bool);
157 
161  virtual void StartOptimization() ITK_OVERRIDE;
162 
167  { m_Stop = true; }
168 
169  itkGetConstReferenceMacro(CatchGetValueException, bool);
170  itkSetMacro(CatchGetValueException, bool);
171 
172  itkGetConstReferenceMacro(MetricWorstPossibleValue, double);
173  itkSetMacro(MetricWorstPossibleValue, double);
174 
175  virtual const std::string GetStopConditionDescription() const ITK_OVERRIDE;
176 
177 protected:
179  OnePlusOneEvolutionaryOptimizer(const OnePlusOneEvolutionaryOptimizer &);
180  virtual ~OnePlusOneEvolutionaryOptimizer();
181  virtual void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;
182 
183 private:
184 
187 
189  unsigned int m_MaximumIteration;
190 
192  unsigned int m_CurrentIteration;
193 
196 
199 
202  double m_Epsilon;
203 
206 
209 
212 
215 
218 
223  bool m_Stop;
224 
226  std::ostringstream m_StopConditionDescription;
227 
231 }; // end of class
232 } // end of namespace itk
233 
234 #endif
Statistics::RandomVariateGeneratorBase NormalVariateGeneratorType
This class is a base for the CostFunctions returning a single value.
Light weight base class for most itk classes.
virtual void PrintSelf(std::ostream &os, Indent indent) const ITK_OVERRIDE
virtual void StartOptimization() ITK_OVERRIDE
This class is a base for the Optimization methods that optimize a single valued function.
virtual void SetMaximize(bool _arg)
void SetNormalVariateGenerator(NormalVariateGeneratorType *generator)
virtual const MeasureType & GetCurrentCost() const
Defines common interfaces for random variate generators.
void Initialize(double initialRadius, double grow=-1, double shrink=-1)
NormalVariateGeneratorType::Pointer m_RandomGenerator
Control indentation during Print() invocation.
Definition: itkIndent.h:49
virtual const std::string GetStopConditionDescription() const ITK_OVERRIDE