dart::optimizer::Population Class Reference

#include <Population.hpp>

Public Member Functions
	Population (std::shared_ptr< MultiObjectiveProblem > problem, std::size_t populationSize=0u)
	Constructor.
MultiObjectiveProblem *	getProblem ()
	Returns the associated problem, which is always not null.
const MultiObjectiveProblem *	getProblem () const
	Returns the associated problem, which is always not null.
void	pushBack (const Eigen::VectorXd &x)
	Adds the decision vector at the back of the population.
void	pushBack (const Eigen::VectorXd &x, const Eigen::VectorXd &f)
	Adds the decision vector and the fitness vector at the back of the population.
void	set (std::size_t index, const Eigen::VectorXd &x)
	Sets the decision vector.
void	set (std::size_t index, const Eigen::VectorXd &x, const Eigen::VectorXd &f)
	Sets the decision vector and fitness vector at index in the population.
std::size_t	getSize () const
	Returns the size of this population.
Eigen::VectorXd	getDecisionVector (std::size_t index) const
	Returns a decision vectors at index.
Eigen::VectorXd	getFitnessVector (std::size_t index) const
	Returns a fitness vectors at index.
std::ostream &	print (std::ostream &os) const
	Prints information of this class to a stream.

Protected Attributes
std::shared_ptr< MultiObjectiveProblem >	mProblem
	Multi-objective problem that this population is accosiated with.
Eigen::MatrixXd	mPopulation
	Decision vectors. A column represents a decision vector.
Eigen::MatrixXd	mFitness
	Fitness vectors. A column represents a fitness vector.

Constructor & Destructor Documentation

Population()

dart::optimizer::Population::Population	(	std::shared_ptr< MultiObjectiveProblem >	problem,
		std::size_t	populationSize = 0u
	)

Constructor.

Population stores a clone of a problem.

Member Function Documentation

getDecisionVector()

Eigen::VectorXd dart::optimizer::Population::getDecisionVector

(

std::size_t

index

)

const

Returns a decision vectors at index.

getFitnessVector()

Eigen::VectorXd dart::optimizer::Population::getFitnessVector

(

std::size_t

index

)

const

Returns a fitness vectors at index.

getProblem() [1/2]

MultiObjectiveProblem * dart::optimizer::Population::getProblem

(

)

Returns the associated problem, which is always not null.

getProblem() [2/2]

const MultiObjectiveProblem * dart::optimizer::Population::getProblem

(

)

const

Returns the associated problem, which is always not null.

getSize()

std::size_t dart::optimizer::Population::getSize

(

)

const

Returns the size of this population.

print()

std::ostream & dart::optimizer::Population::print

(

std::ostream &

os

)

const

Prints information of this class to a stream.

pushBack() [1/2]

void dart::optimizer::Population::pushBack

(

const Eigen::VectorXd &

x

)

Adds the decision vector at the back of the population.

The corresponding fitness vector will be evaulated and set.

pushBack() [2/2]

void dart::optimizer::Population::pushBack	(	const Eigen::VectorXd &	x,
		const Eigen::VectorXd &	f
	)

Adds the decision vector and the fitness vector at the back of the population.

set() [1/2]

void dart::optimizer::Population::set	(	std::size_t	index,
		const Eigen::VectorXd &	x
	)

Sets the decision vector.

The corresponding fitness vector will be evaulated and set.

set() [2/2]

void dart::optimizer::Population::set	(	std::size_t	index,
		const Eigen::VectorXd &	x,
		const Eigen::VectorXd &	f
	)

Sets the decision vector and fitness vector at index in the population.

Member Data Documentation

mFitness

Eigen::MatrixXd dart::optimizer::Population::mFitness

protected

Fitness vectors. A column represents a fitness vector.

mPopulation

Eigen::MatrixXd dart::optimizer::Population::mPopulation

protected

Decision vectors. A column represents a decision vector.

mProblem

std::shared_ptr<MultiObjectiveProblem> dart::optimizer::Population::mProblem

protected

Multi-objective problem that this population is accosiated with.

This is always not null.