library: libTMVA
#include "TMVA_GeneticBase.h"

TMVA_GeneticBase

class description - source file - inheritance tree (.pdf)

class TMVA_GeneticBase

Inheritance Chart:

TMVA_GeneticBase

TMVA_GeneticCuts


    public:

                        TMVA_GeneticBase()
                        TMVA_GeneticBase(Int_t populationSize, vector<LowHigh*> ranges)
                        TMVA_GeneticBase(const TMVA_GeneticBase&)
                virtual ~TMVA_GeneticBase()
               Double_t Calc()
       virtual Double_t CalculateFitness()
         static TClass* Class()
               Double_t DoRenewFitness()
           virtual void Evolution()
                   void Finalize()
       virtual Double_t FitnessFunction(vector<Double_t> factors)
         virtual Bool_t HasConverged(Int_t steps = 10, Double_t ratio = 0.1)
                   void Init()
        virtual TClass* IsA() const
       virtual Double_t NewFitness(Double_t oldValue, Double_t newValue)
      TMVA_GeneticBase& operator=(const TMVA_GeneticBase&)
       virtual Double_t RenewFitness(vector<Double_t> factors, vector<Double_t> results)
           virtual void ShowMembers(TMemberInspector& insp, char* parent)
       virtual Double_t SpreadControl(Int_t steps, Int_t ofSteps, Double_t factor)
           virtual void Streamer(TBuffer& b)
                   void StreamerNVirtual(TBuffer& b)

Data Members

    private:

             Int_t fConvCounter  
          Double_t fConvValue    
      deque<Int_t> fSuccessList  
          Double_t fLastResult   

    public:

      TMVA_GeneticPopulation fPopulation  
                    Double_t fSpread      regulates the spread of the value change at mutation (sigma)
                      Bool_t fMirror      
                      Bool_t fSexual      
                      Bool_t fFirstTime

Class Description

 Base definition for genetic algorithm

_______________________________________________________________________

TMVA_GeneticBase( Int_t populationSize, vector<LowHigh*> ranges )

void Init()

Double_t Calc()

Double_t FitnessFunction( vector< Double_t > /* factors */)

Double_t NewFitness( Double_t /*oldValue*/, Double_t newValue )

Double_t CalculateFitness()

Double_t DoRenewFitness()

Double_t RenewFitness( vector<Double_t> /*factors*/, vector<Double_t> /* results */)

void Evolution()

Double_t SpreadControl( Int_t ofSteps, Int_t successSteps, Double_t factor )

 < is valid for "less" comparison

Bool_t HasConverged( Int_t steps, Double_t improvement )

void Finalize()

Inline Functions

                     void ~TMVA_GeneticBase()
         TMVA_GeneticBase TMVA_GeneticBase(Int_t populationSize, vector<LowHigh*> ranges)
                  TClass* Class()
                  TClass* IsA() const
                     void ShowMembers(TMemberInspector& insp, char* parent)
                     void Streamer(TBuffer& b)
                     void StreamerNVirtual(TBuffer& b)
         TMVA_GeneticBase TMVA_GeneticBase(const TMVA_GeneticBase&)
        TMVA_GeneticBase& operator=(const TMVA_GeneticBase&)

Author: Peter Speckmayer
Last update: root/tmva $Id: TMVA_GeneticBase.cxx,v 1.3 2006/05/08 20:56:17 brun Exp $
Copyright (c) 2005: *

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