Definition at line 58 of file GeneticPopulation.h.

Public Member Functions
	GeneticPopulation (const std::vector< TMVA::Interval * > &ranges, Int_t size, UInt_t seed=0)
	Constructor. More...

virtual	~GeneticPopulation ()
	destructor More...

void	SetRandomSeed (UInt_t seed=0)
	the random seed of the random generator More...

void	MakeChildren ()
	does what the name says,... More...

void	Mutate (Double_t probability=20, Int_t startIndex=0, Bool_t near=kFALSE, Double_t spread=0.1, Bool_t mirror=kFALSE)
	mutates the individuals in the genePool Parameters: double probability : gives the probability (in percent) of a mutation of a coefficient int startIndex : leaves unchanged (without mutation) the individuals which are better ranked than indicated by "startIndex". More...

GeneticGenes *	GetGenes (Int_t index)
	gives back the "Genes" of the population with the given index. More...

Int_t	GetPopulationSize () const

Double_t	GetFitness () const

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

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

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

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

void	Print (Int_t untilIndex=-1)
	make a little printout of the individuals up to index "untilIndex" this means, . More...

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

TH1F *	VariableDistribution (Int_t varNumber, Int_t bins, Int_t min, Int_t max)
	give back a histogram with the distribution of the coefficients parameters: int bins : number of bins of the histogram int min : histogram minimum int max : maximum value of the histogram More...

std::vector< Double_t >	VariableDistribution (Int_t varNumber)
	gives back all the values of coefficient "varNumber" of the current generation More...

void	MakeCopies (int number)
	produces offspring which is are copies of their parents Parameters: int number : the number of the last individual to be copied More...

void	NextGeneration ()

void	AddPopulation (GeneticPopulation *strangers)
	add another population (strangers) to the one of this GeneticPopulation More...

void	AddPopulation (GeneticPopulation &strangers)
	add another population (strangers) to the one of this GeneticPopulation More...

void	TrimPopulation ()
	trim the population to the predefined size More...

void	GiveHint (std::vector< Double_t > &hint, Double_t fitness=0)
	add an individual (a set of variables) to the population if there is a set of variables which is known to perform good, they can be given as a hint to the population More...

void	Sort ()
	sort the genepool according to the fitness of the individuals More...

Private Member Functions
GeneticGenes	MakeSex (GeneticGenes male, GeneticGenes female)
	this function takes two individuals and produces offspring by mixing (recombining) their coefficients More...

MsgLogger &	Log () const

Private Attributes
std::vector< TMVA::GeneticGenes >	fGenePool

std::vector< TMVA::GeneticRange * >	fRanges

TRandom3 *	fRandomGenerator

MsgLogger *	fLogger

Int_t	fPopulationSizeLimit

#include <TMVA/GeneticPopulation.h>

Constructor & Destructor Documentation

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

Constructor.

Definition at line 50 of file GeneticPopulation.cxx.

TMVA::GeneticPopulation::~GeneticPopulation ( )

virtual

destructor

Definition at line 79 of file GeneticPopulation.cxx.

Member Function Documentation

void TMVA::GeneticPopulation::AddPopulation ( GeneticPopulation * strangers )

add another population (strangers) to the one of this GeneticPopulation

Definition at line 285 of file GeneticPopulation.cxx.

Referenced by TMVA::GeneticFitter::Run().

void TMVA::GeneticPopulation::AddPopulation ( GeneticPopulation & strangers )

add another population (strangers) to the one of this GeneticPopulation

Definition at line 296 of file GeneticPopulation.cxx.

Double_t TMVA::GeneticPopulation::GetFitness ( ) const

inline

Definition at line 73 of file GeneticPopulation.h.

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

inline

Definition at line 75 of file GeneticPopulation.h.

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

inline

Definition at line 78 of file GeneticPopulation.h.

TMVA::GeneticGenes * TMVA::GeneticPopulation::GetGenes ( Int_t index )

gives back the "Genes" of the population with the given index.

Definition at line 197 of file GeneticPopulation.cxx.

Referenced by ROOT::Math::GeneticMinimizer::Minimize(), and TMVA::GeneticFitter::Run().

Int_t TMVA::GeneticPopulation::GetPopulationSize ( ) const

inline

Definition at line 72 of file GeneticPopulation.h.

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

inline

Definition at line 76 of file GeneticPopulation.h.

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

inline

Definition at line 79 of file GeneticPopulation.h.

void TMVA::GeneticPopulation::GiveHint	(	std::vector< Double_t > &	hint,
		Double_t	fitness = `0`
	)

add an individual (a set of variables) to the population if there is a set of variables which is known to perform good, they can be given as a hint to the population

Definition at line 315 of file GeneticPopulation.cxx.

Referenced by TMVA::GeneticFitter::Run().

MsgLogger& TMVA::GeneticPopulation::Log ( ) const

inlineprivate

Definition at line 110 of file GeneticPopulation.h.

void TMVA::GeneticPopulation::MakeChildren ( )

does what the name says,...

it creates children out of members of the current generation children have a combination of the coefficients of their parents

Definition at line 121 of file GeneticPopulation.cxx.

void TMVA::GeneticPopulation::MakeCopies ( int number )

produces offspring which is are copies of their parents Parameters: int number : the number of the last individual to be copied

Definition at line 105 of file GeneticPopulation.cxx.

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

private

this function takes two individuals and produces offspring by mixing (recombining) their coefficients

Definition at line 139 of file GeneticPopulation.cxx.

void TMVA::GeneticPopulation::Mutate	(	Double_t	probability = `20`,
		Int_t	startIndex = `0`,
		Bool_t	near = `kFALSE`,
		Double_t	spread = `0.1`,
		Bool_t	mirror = `kFALSE`
	)

mutates the individuals in the genePool Parameters: double probability : gives the probability (in percent) of a mutation of a coefficient int startIndex : leaves unchanged (without mutation) the individuals which are better ranked than indicated by "startIndex".

This means: if "startIndex==3", the first (and best) three individuals are not mutaded. This allows to preserve the best result of the current Generation for the next generation. Bool_t near : if true, the mutation will produce a new coefficient which is "near" the old one (gaussian around the current value) double spread : if near==true, spread gives the sigma of the gaussian Bool_t mirror : if the new value obtained would be outside of the given constraints the value is mapped between the constraints again. This can be done either by a kind of periodic boundary conditions or mirrored at the boundary. (mirror = true seems more "natural")

Definition at line 170 of file GeneticPopulation.cxx.

void TMVA::GeneticPopulation::NextGeneration ( )

inline

Definition at line 92 of file GeneticPopulation.h.

void TMVA::GeneticPopulation::Print ( Int_t untilIndex = -1 )

make a little printout of the individuals up to index "untilIndex" this means, .

. write out the best "untilIndex" individuals.

Definition at line 207 of file GeneticPopulation.cxx.

void TMVA::GeneticPopulation::Print	(	std::ostream &	out,
		Int_t	utilIndex = `-1`
	)

void TMVA::GeneticPopulation::SetRandomSeed ( UInt_t seed = 0 )

the random seed of the random generator

Definition at line 94 of file GeneticPopulation.cxx.

void TMVA::GeneticPopulation::Sort ( )

sort the genepool according to the fitness of the individuals

Definition at line 326 of file GeneticPopulation.cxx.

Referenced by TMVA::GeneticFitter::Run().

void TMVA::GeneticPopulation::TrimPopulation ( )

trim the population to the predefined size

Definition at line 304 of file GeneticPopulation.cxx.

Referenced by ROOT::Math::GeneticMinimizer::Minimize(), and TMVA::GeneticFitter::Run().

TH1F * TMVA::GeneticPopulation::VariableDistribution	(	Int_t	varNumber,
		Int_t	bins,
		Int_t	min,
		Int_t	max
	)

give back a histogram with the distribution of the coefficients parameters: int bins : number of bins of the histogram int min : histogram minimum int max : maximum value of the histogram

Definition at line 255 of file GeneticPopulation.cxx.

vector< Double_t > TMVA::GeneticPopulation::VariableDistribution ( Int_t varNumber )

gives back all the values of coefficient "varNumber" of the current generation

Definition at line 273 of file GeneticPopulation.cxx.