Population definition for genetic algorithm.

Definition at line 48 of file GeneticPopulation.h.

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

virtual	~GeneticPopulation ()
	destructor

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

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

Double_t	GetFitness () const

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

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

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

Int_t	GetPopulationSize () const

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

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

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

virtual TClass *	IsA () const

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

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

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.

void	NextGeneration ()

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

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, .

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

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

virtual void	Streamer (TBuffer &)

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

void	TrimPopulation ()
	trim the population to the predefined size

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

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

Static Public Member Functions
static TClass *	Class ()

static const char *	Class_Name ()

static constexpr Version_t	Class_Version ()

static const char *	DeclFileName ()

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.

Private Attributes
std::vector< TMVA::GeneticGenes >	fGenePool
	the "genePool" where the individuals of the current generation are stored

MsgLogger *	fLogger
	message logger

Int_t	fPopulationSizeLimit

TRandom3 *	fRandomGenerator
	random Generator for this population

std::vector< TMVA::GeneticRange * >	fRanges
	contains the ranges in between the values of the coefficients have to be

#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 49 of file GeneticPopulation.cxx.

◆ ~GeneticPopulation()

TMVA::GeneticPopulation::~GeneticPopulation ( )

virtual

destructor

Definition at line 78 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 291 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 280 of file GeneticPopulation.cxx.

◆ Class()

static TClass * TMVA::GeneticPopulation::Class ( )

static

Returns: TClass describing this class

◆ Class_Name()

static const char * TMVA::GeneticPopulation::Class_Name ( )

static

Returns: Name of this class

◆ Class_Version()

static constexpr Version_t TMVA::GeneticPopulation::Class_Version ( )

inlinestaticconstexpr

Returns: Version of this class

Definition at line 104 of file GeneticPopulation.h.

◆ DeclFileName()

static const char * TMVA::GeneticPopulation::DeclFileName ( )

inlinestatic

Returns: Name of the file containing the class declaration

Definition at line 104 of file GeneticPopulation.h.

◆ GetFitness()

Double_t TMVA::GeneticPopulation::GetFitness ( ) const

inline

Definition at line 63 of file GeneticPopulation.h.

◆ GetGenePool() [1/2]

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

inline

Definition at line 68 of file GeneticPopulation.h.

◆ GetGenePool() [2/2]

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

inline

Definition at line 65 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 194 of file GeneticPopulation.cxx.

◆ GetPopulationSize()

Int_t TMVA::GeneticPopulation::GetPopulationSize ( ) const

inline

Definition at line 62 of file GeneticPopulation.h.

◆ GetRanges() [1/2]

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

inline

Definition at line 69 of file GeneticPopulation.h.

◆ GetRanges() [2/2]

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

inline

Definition at line 66 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 310 of file GeneticPopulation.cxx.

◆ IsA()

virtual TClass * TMVA::GeneticPopulation::IsA ( ) const

inlinevirtual

Returns: TClass describing current object

Definition at line 104 of file GeneticPopulation.h.

◆ Log()

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

inlineprivate

Definition at line 100 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 119 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 104 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 136 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 168 of file GeneticPopulation.cxx.

◆ NextGeneration()

void TMVA::GeneticPopulation::NextGeneration ( )

inline

Definition at line 82 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 203 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 225 of file GeneticPopulation.cxx.

◆ SetRandomSeed()

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

the random seed of the random generator

Definition at line 93 of file GeneticPopulation.cxx.

◆ Sort()

void TMVA::GeneticPopulation::Sort ( )

sort the genepool according to the fitness of the individuals

Definition at line 321 of file GeneticPopulation.cxx.

◆ Streamer()

virtual void TMVA::GeneticPopulation::Streamer ( TBuffer & )

virtual

◆ StreamerNVirtual()

void TMVA::GeneticPopulation::StreamerNVirtual ( TBuffer & ClassDef_StreamerNVirtual_b )

inline

Definition at line 104 of file GeneticPopulation.h.

◆ TrimPopulation()

void TMVA::GeneticPopulation::TrimPopulation ( )

trim the population to the predefined size

Definition at line 299 of file GeneticPopulation.cxx.

◆ VariableDistribution() [1/2]

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

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

Definition at line 268 of file GeneticPopulation.cxx.

◆ VariableDistribution() [2/2]

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 251 of file GeneticPopulation.cxx.

Member Data Documentation

◆ fGenePool

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

private

the "genePool" where the individuals of the current generation are stored

Definition at line 94 of file GeneticPopulation.h.

◆ fLogger

MsgLogger* TMVA::GeneticPopulation::fLogger

mutableprivate

message logger

Definition at line 99 of file GeneticPopulation.h.

◆ fPopulationSizeLimit

Int_t TMVA::GeneticPopulation::fPopulationSizeLimit

private

Definition at line 102 of file GeneticPopulation.h.

◆ fRandomGenerator

TRandom3* TMVA::GeneticPopulation::fRandomGenerator

private

random Generator for this population

Definition at line 97 of file GeneticPopulation.h.

◆ fRanges

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

private

contains the ranges in between the values of the coefficients have to be

Definition at line 95 of file GeneticPopulation.h.

Libraries for TMVA::GeneticPopulation:

[legend]

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

Static Public Member Functions

Private Member Functions

Private Attributes

Constructor & Destructor Documentation

◆ GeneticPopulation()

◆ ~GeneticPopulation()

Member Function Documentation

◆ AddPopulation() [1/2]

◆ AddPopulation() [2/2]

◆ Class()

◆ Class_Name()

◆ Class_Version()

◆ DeclFileName()

◆ GetFitness()

◆ GetGenePool() [1/2]

◆ GetGenePool() [2/2]

◆ GetGenes()

◆ GetPopulationSize()

◆ GetRanges() [1/2]

◆ GetRanges() [2/2]

◆ GiveHint()

◆ IsA()

◆ Log()

◆ MakeChildren()

◆ MakeCopies()

◆ MakeSex()

◆ Mutate()

◆ NextGeneration()

◆ Print() [1/2]

◆ Print() [2/2]

◆ SetRandomSeed()

◆ Sort()

◆ Streamer()

◆ StreamerNVirtual()

◆ TrimPopulation()

◆ VariableDistribution() [1/2]

◆ VariableDistribution() [2/2]

Member Data Documentation

◆ fGenePool

◆ fLogger

◆ fPopulationSizeLimit

◆ fRandomGenerator

◆ fRanges