class TMVA::GeneticPopulation


GeneticPopulation

Population definition for genetic algorithm

Function Members (Methods)

public:

virtual	~GeneticPopulation()
void	AddPopulation(TMVA::GeneticPopulation* strangers)
void	AddPopulation(TMVA::GeneticPopulation& strangers)
static TClass*	Class()
TMVA::GeneticPopulation	GeneticPopulation(const TMVA::GeneticPopulation&)
TMVA::GeneticPopulation	GeneticPopulation(const vector<TMVA::Interval*>& ranges, Int_t size, UInt_t seed = 0)
Double_t	GetFitness() const
const vector<TMVA::GeneticGenes>&	GetGenePool() const
vector<TMVA::GeneticGenes>&	GetGenePool()
TMVA::GeneticGenes*	GetGenes(Int_t index)
Int_t	GetPopulationSize() const
const vector<TMVA::GeneticRange*>&	GetRanges() const
vector<TMVA::GeneticRange*>&	GetRanges()
void	GiveHint(vector<Double_t>& hint, Double_t fitness = 0)
virtual TClass*	IsA() const
void	MakeChildren()
void	MakeCopies(int number)
void	Mutate(Double_t probability = 20, Int_t startIndex = 0, Bool_t near = kFALSE, Double_t spread = 0.10000000000000001, Bool_t mirror = kFALSE)
void	NextGeneration()
TMVA::GeneticPopulation&	operator=(const TMVA::GeneticPopulation&)
void	Print(Int_t untilIndex = -1)
void	Print(ostream& out, Int_t utilIndex = -1)
void	SetRandomSeed(UInt_t seed = 0)
virtual void	ShowMembers(TMemberInspector& insp) const
void	Sort()
virtual void	Streamer(TBuffer&)
void	StreamerNVirtual(TBuffer& ClassDef_StreamerNVirtual_b)
void	TrimPopulation()
vector<Double_t>	VariableDistribution(Int_t varNumber)
TH1F*	VariableDistribution(Int_t varNumber, Int_t bins, Int_t min, Int_t max)

private:

TMVA::MsgLogger&	Log() const
TMVA::GeneticGenes	MakeSex(TMVA::GeneticGenes male, TMVA::GeneticGenes female)

private:

vector<TMVA::GeneticGenes>	fGenePool	the "genePool" where the individuals of the current generation are stored
TMVA::MsgLogger*	fLogger	message logger
Int_t	fPopulationSizeLimit
TRandom3*	fRandomGenerator	random Generator for this population
vector<TMVA::GeneticRange*>	fRanges	contains the ranges inbetween the values of the coefficients have to be

Inheritance Chart:

TMVA::GeneticPopulation

GeneticPopulation(const vector<TMVA::Interval*>& ranges, Int_t size, UInt_t seed = 0)

void Mutate(Double_t probability = 20, Int_t startIndex = 0, Bool_t near = kFALSE, Double_t spread = 0.10000000000000001, Bool_t mirror = kFALSE)

{ return fGenePool.size(); }

{ return fGenePool.size()>0? fGenePool[0].GetFitness() : 0; }

const std::vector<TMVA::GeneticGenes>& GetGenePool() const

{ return fGenePool; }

const std::vector<TMVA::GeneticRange*>& GetRanges() const

{ return fRanges; }

std::vector<TMVA::GeneticGenes>& GetGenePool()

{ return fGenePool; }

std::vector<TMVA::GeneticRange*>& GetRanges()

{ return fRanges; }

void Print(Int_t untilIndex = -1)

void Print(ostream& out, Int_t utilIndex = -1)

void MakeCopies(int number)

 To keep compatibility: These methods might be reimplemented
 or just eliminated later on. They are used by the
 GeneticFitter class.

{}

void GiveHint(vector<Double_t>& hint, Double_t fitness = 0)

void Sort()

GeneticGenes MakeSex(TMVA::GeneticGenes male, TMVA::GeneticGenes female)