ROOT   Reference Guide
TMVA::GeneticPopulation Class Reference

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...

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

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

Double_t GetFitness () const

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

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

GeneticGenesGetGenes (Int_t index)
gives back the "Genes" of the population with the given index. More...

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 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...

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

TH1FVariableDistribution (Int_t varNumber, Int_t bins, Int_t min, Int_t max)
give back a histogram with the distribution of the coefficients. More...

## Private Member Functions

MsgLoggerLog () 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::GeneticGenesfGenePool

MsgLoggerfLogger

Int_t fPopulationSizeLimit

TRandom3fRandomGenerator

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

#include <TMVA/GeneticPopulation.h>

## ◆ 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

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

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

Definition at line 294 of file GeneticPopulation.cxx.

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

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

Definition at line 283 of file GeneticPopulation.cxx.

## ◆ GetFitness()

 Double_t TMVA::GeneticPopulation::GetFitness ( ) const
inline

Definition at line 64 of file GeneticPopulation.h.

## ◆ GetGenePool() [1/2]

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

Definition at line 69 of file GeneticPopulation.h.

## ◆ GetGenePool() [2/2]

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

Definition at line 66 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]

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

Definition at line 70 of file GeneticPopulation.h.

## ◆ GetRanges() [2/2]

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

Definition at line 67 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]

 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.

## ◆ 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 254 of file GeneticPopulation.cxx.

## ◆ fGenePool

 std::vector 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::GeneticPopulation::fRanges
private

Definition at line 96 of file GeneticPopulation.h.

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