Implements a population of parametric models. More...

#include <ParametricModelPopulation.h>

Inheritance diagram for ParametricModelPopulation:

Collaboration diagram for ParametricModelPopulation:

Public Member Functions
	ParametricModelPopulation ()

	~ParametricModelPopulation ()

void	setFormula (TF1 *formula)

void	setMutationSize (double relativeSize)

Public Member Functions inherited from IPopulation
	IPopulation ()

virtual	~IPopulation ()

void	initialize (int n)

void	crossOver ()

void	mutate ()

void	score ()

void	setRandomSeed (int seed)

void	setMutateRate (double rate)

void	setFigureOfMerit (IFigureOfMerit *fom)

IFigureOfMerit *	getFigureOfMerit ()

IModel *	getBestFitted (int rank=0)

int	size ()

double	getScoreMean ()

double	getScoreRMS ()

void	clear ()

Protected Member Functions
virtual void	doInitialize (int n)

virtual void	doCrossOver (const std::vector< std::vector< IModel *> > &parents)

virtual void	doMutate (IModel *model)

Protected Member Functions inherited from IPopulation
virtual void	selectParents (int &p1, int &p2)

void	sort ()

void	checkFigureOfMerit ()

Protected Attributes
TF1 *	m_formula
	Stores the formula for this population.

double	m_mutationSize
	Stores the relative size (sigma) of the gaussian noise applied during mutation.

Protected Attributes inherited from IPopulation
double	m_mutateRate
	Stores the mutate rate.

bool	m_sorted
	Stores whether the ranking is valid or needs to be redone.

std::vector< IModel * >	m_individuals
	Stores the individuals of this population.

IFigureOfMerit *	m_fom
	Stores the figure of merit to be used to calculate scores and perform the ranking.

TRandom3 *	m_random
	Stores a random number generator.

double	m_scoreMean
	Stores the mean score for the population.

double	m_scoreRMS
	Stores the score RMS for the population.

std::vector< std::vector< IModel * > >	m_parents
	Stores the list of parents about to be crossed-over.

Detailed Description

Implements a population of parametric models.

The following behavior is implemented:

Initialization: parameters are randomly initialized following uniform distribution in the allowed range.
Cross-over: each parameter is passed from either parents chosen at random.
Mutation: a random parameter is chosen and then modified by adding a gaussian noise component.

Definition at line 16 of file ParametricModelPopulation.h.

Constructor & Destructor Documentation

◆ ParametricModelPopulation()

ParametricModelPopulation::ParametricModelPopulation ( )

Default Constructor.

Definition at line 5 of file ParametricModelPopulation.cxx.

◆ ~ParametricModelPopulation()

ParametricModelPopulation::~ParametricModelPopulation ( )

Destructor.

Definition at line 12 of file ParametricModelPopulation.cxx.

Member Function Documentation

◆ setFormula()

void ParametricModelPopulation::setFormula ( TF1 * formula )

Sets the formula for this population.

Parameters

formula Formula to be used for this population.

Definition at line 19 of file ParametricModelPopulation.cxx.

◆ setMutationSize()

void ParametricModelPopulation::setMutationSize ( double relativeSize )

Sets the relative size (sigma) of the gaussian noise applied during mutation.

Parameters

relativeSize The relative size (sigma) of the gaussian noise applied during mutation.

Definition at line 27 of file ParametricModelPopulation.cxx.

◆ doInitialize()

void ParametricModelPopulation::doInitialize ( int n )

protectedvirtual

Implements initialization.

Parameters for the individual models are randomly initialized following uniform distribution in the allowed range as defined in the population's formula.

Parameters

The	desired size of the population.

Implements IPopulation.

Definition at line 38 of file ParametricModelPopulation.cxx.

◆ doCrossOver()

void ParametricModelPopulation::doCrossOver ( const std::vector< std::vector< IModel *> > & parents )

protectedvirtual

Implements cross-over.

Cross-over is implemented such that each parameter is passed from either parents chosen at random.

Parameters

parents List of parents to be crossed-over.

Implements IPopulation.

Definition at line 62 of file ParametricModelPopulation.cxx.

◆ doMutate()

void ParametricModelPopulation::doMutate ( IModel * imodel )

protectedvirtual

Implements mutation.

Mutation is implemented such that a random parameter is chosen and then modified by adding a gaussian noise component. The size of the gaussian noise is controlled via setMutationSize().

Parameters

imodel Model to be mutated.

Implements IPopulation.

Definition at line 110 of file ParametricModelPopulation.cxx.

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