Population definition for genetic algorithm.

Definition at line 49 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	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...

Double_t	GetFitness () const

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

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

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

Int_t	GetPopulationSize () const

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

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

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	MakeChildren ()
	Creates children out of members of the current generation. More...

void	MakeCopies (int number)
	Produces offspring which is are copies of their parents. 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. More...

void	NextGeneration ()

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

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

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

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

TH1F *	VariableDistribution (Int_t varNumber, Int_t bins, Int_t min, Int_t max)
	give back a histogram with the distribution of the coefficients. More...

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

Private Member Functions
MsgLogger &	Log () const

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

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

MsgLogger *	fLogger

Int_t	fPopulationSizeLimit

TRandom3 *	fRandomGenerator

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

#include <TMVA/GeneticPopulation.h>

Constructor & Destructor Documentation

◆ GeneticPopulation()

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

Constructor.

Definition at line 52 of file GeneticPopulation.cxx.

◆ ~GeneticPopulation()

TMVA::GeneticPopulation::~GeneticPopulation ( )

virtual

destructor

Definition at line 81 of file GeneticPopulation.cxx.

Member Function Documentation

◆ AddPopulation() [1/2]

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

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

Definition at line 283 of file GeneticPopulation.cxx.

◆ AddPopulation() [2/2]

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

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

Definition at line 294 of file GeneticPopulation.cxx.

◆ GetFitness()

Double_t TMVA::GeneticPopulation::GetFitness ( ) const

inline

Definition at line 64 of file GeneticPopulation.h.

◆ GetGenePool() [1/2]

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

inline

Definition at line 66 of file GeneticPopulation.h.

◆ GetGenePool() [2/2]

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

inline

Definition at line 69 of file GeneticPopulation.h.

◆ GetGenes()

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.

◆ GetPopulationSize()

Int_t TMVA::GeneticPopulation::GetPopulationSize ( ) const

inline

Definition at line 63 of file GeneticPopulation.h.

◆ GetRanges() [1/2]

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

inline

Definition at line 67 of file GeneticPopulation.h.

◆ GetRanges() [2/2]

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

inline

Definition at line 70 of file GeneticPopulation.h.

◆ GiveHint()

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 313 of file GeneticPopulation.cxx.

◆ Log()

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

inlineprivate

Definition at line 101 of file GeneticPopulation.h.

◆ MakeChildren()

void TMVA::GeneticPopulation::MakeChildren ( )

Creates children out of members of the current generation.

Children have a combination of the coefficients of their parents

Definition at line 122 of file GeneticPopulation.cxx.

◆ MakeCopies()

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 107 of file GeneticPopulation.cxx.

◆ MakeSex()

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.

◆ Mutate()

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 mutated. 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 171 of file GeneticPopulation.cxx.

◆ NextGeneration()

void TMVA::GeneticPopulation::NextGeneration ( )

inline

Definition at line 83 of file GeneticPopulation.h.

◆ Print() [1/2]

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 206 of file GeneticPopulation.cxx.

◆ Print() [2/2]

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

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

. write out the best "untilIndex" individuals.

Definition at line 228 of file GeneticPopulation.cxx.

◆ SetRandomSeed()

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

the random seed of the random generator

Definition at line 96 of file GeneticPopulation.cxx.

◆ Sort()

void TMVA::GeneticPopulation::Sort ( )

sort the genepool according to the fitness of the individuals

Definition at line 324 of file GeneticPopulation.cxx.

◆ TrimPopulation()

void TMVA::GeneticPopulation::TrimPopulation ( )

trim the population to the predefined size

Definition at line 302 of file GeneticPopulation.cxx.

◆ VariableDistribution() [1/2]

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 254 of file GeneticPopulation.cxx.

◆ VariableDistribution() [2/2]

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

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

Definition at line 271 of file GeneticPopulation.cxx.

Member Data Documentation

◆ fGenePool

std::vector<TMVA::GeneticGenes> TMVA::GeneticPopulation::fGenePool

private

Definition at line 95 of file GeneticPopulation.h.

◆ fLogger

MsgLogger* TMVA::GeneticPopulation::fLogger

mutableprivate

Definition at line 100 of file GeneticPopulation.h.

◆ fPopulationSizeLimit

Int_t TMVA::GeneticPopulation::fPopulationSizeLimit

private

Definition at line 103 of file GeneticPopulation.h.

◆ fRandomGenerator

TRandom3* TMVA::GeneticPopulation::fRandomGenerator

private

Definition at line 98 of file GeneticPopulation.h.

◆ fRanges

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

private

Definition at line 96 of file GeneticPopulation.h.

The documentation for this class was generated from the following files:

tmva/tmva/inc/TMVA/GeneticPopulation.h
tmva/tmva/src/GeneticPopulation.cxx

Public Member Functions

Private Member Functions

Private Attributes

Constructor & Destructor Documentation

◆ GeneticPopulation()

◆ ~GeneticPopulation()

Member Function Documentation

◆ AddPopulation() [1/2]

◆ AddPopulation() [2/2]

◆ GetFitness()

◆ GetGenePool() [1/2]

◆ GetGenePool() [2/2]

◆ GetGenes()

◆ GetPopulationSize()

◆ GetRanges() [1/2]

◆ GetRanges() [2/2]

◆ GiveHint()

◆ Log()

◆ MakeChildren()

◆ MakeCopies()

◆ MakeSex()

◆ Mutate()

◆ NextGeneration()

◆ Print() [1/2]

◆ Print() [2/2]

◆ SetRandomSeed()

◆ Sort()

◆ TrimPopulation()

◆ VariableDistribution() [1/2]

◆ VariableDistribution() [2/2]

Member Data Documentation

◆ fGenePool

◆ fLogger

◆ fPopulationSizeLimit

◆ fRandomGenerator

◆ fRanges