CMASearch Class Reference

#include <CMA.h>

Inheritance diagram for CMASearch:

List of all members.

Public Member Functions
	CMASearch ()
	~CMASearch ()
CMA &	getCMA ()
const CMA &	getCMA () const
const PopulationT< double > *	parents () const
const PopulationT< double > *	offspring () const
void	init (ObjectiveFunctionVS< double > &fitness, CMA::RecombType recomb=CMA::superlinear, CMA::UpdateType cupdate=CMA::rankmu)
void	init (ObjectiveFunctionVS< double > &fitness, const Array< double > &start, double stepsize, CMA::RecombType recomb=CMA::superlinear, CMA::UpdateType cupdate=CMA::rankmu)
void	init (ObjectiveFunctionVS< double > &fitness, unsigned int mu, unsigned int lambda, const Array< double > &start, double stepsize, CMA::RecombType recomb=CMA::superlinear, CMA::UpdateType cupdate=CMA::rankmu)
void	run ()
	main interface: perform one iteration of the search algorithm
void	bestSolutions (std::vector< double * > &points)
void	bestSolutionsFitness (Array< double > &fitness)
	Return a two-dimensional array of fitness values.
Protected Attributes
CMA	m_cma
ObjectiveFunctionVS< double > *	m_fitness
PopulationT< double > *	m_parents
PopulationT< double > *	m_offspring

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Detailed Description

Examples:

paraboloidCMA.cpp.

Definition at line 131 of file CMA.h.

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Constructor & Destructor Documentation

CMASearch::CMASearch

(

)

Definition at line 287 of file CMA.cpp.

References SearchAlgorithmBase::m_name, m_offspring, and m_parents.

CMASearch::~CMASearch

(

)

Definition at line 295 of file CMA.cpp.

References m_offspring, and m_parents.

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Member Function Documentation

void CMASearch::bestSolutions

(

std::vector< double * > &

points

)

Definition at line 405 of file CMA.cpp.

void CMASearch::bestSolutionsFitness

(

Array< double > &

fitness

)

[virtual]

Return a two-dimensional array of fitness values.

The first dimension corresponds to the solution, while the second dimension corresponds to the objective.

Implements SearchAlgorithm< T >.

Definition at line 411 of file CMA.cpp.

const CMA& CMASearch::getCMA

(

)

const [inline]

Definition at line 138 of file CMA.h.

References m_cma.

CMA& CMASearch::getCMA

(

)

[inline]

Definition at line 137 of file CMA.h.

References m_cma.

void CMASearch::init	(	ObjectiveFunctionVS< double > &	fitness,
		unsigned int	mu,
		unsigned int	lambda,
		const Array< double > &	start,
		double	stepsize,
		CMA::RecombType	recomb = CMA::superlinear,
		CMA::UpdateType	cupdate = CMA::rankmu
	)

Definition at line 363 of file CMA.cpp.

References ObjectiveFunctionVS< T >::dimension(), CMA::init(), m_cma, m_fitness, EvolutionaryAlgorithm< double * >::m_lambda, EvolutionaryAlgorithm< double * >::m_mu, m_offspring, m_parents, and Population::setMinimize().

void CMASearch::init	(	ObjectiveFunctionVS< double > &	fitness,
		const Array< double > &	start,
		double	stepsize,
		CMA::RecombType	recomb = CMA::superlinear,
		CMA::UpdateType	cupdate = CMA::rankmu
	)

Definition at line 341 of file CMA.cpp.

References ObjectiveFunctionVS< T >::dimension(), CMA::init(), m_cma, m_fitness, EvolutionaryAlgorithm< double * >::m_lambda, EvolutionaryAlgorithm< double * >::m_mu, m_offspring, m_parents, Population::setMinimize(), CMA::suggestLambda(), and CMA::suggestMu().

void CMASearch::init	(	ObjectiveFunctionVS< double > &	fitness,
		CMA::RecombType	recomb = CMA::superlinear,
		CMA::UpdateType	cupdate = CMA::rankmu
	)

Examples:

paraboloidCMA.cpp.

Definition at line 302 of file CMA.cpp.

References ObjectiveFunctionVS< T >::dimension(), CMA::init(), m_cma, m_fitness, EvolutionaryAlgorithm< double * >::m_lambda, EvolutionaryAlgorithm< double * >::m_mu, m_offspring, m_parents, ObjectiveFunctionVS< T >::ProposeStartingPoint(), Population::setMinimize(), CMA::suggestLambda(), and CMA::suggestMu().

const PopulationT<double>* CMASearch::offspring

(

)

const [inline]

Definition at line 140 of file CMA.h.

References m_offspring.

const PopulationT<double>* CMASearch::parents

(

)

const [inline]

Definition at line 139 of file CMA.h.

References m_parents.

void CMASearch::run

(

)

[virtual]

main interface: perform one iteration of the search algorithm

Reimplemented from SearchAlgorithm< T >.

Examples:

paraboloidCMA.cpp.

Definition at line 385 of file CMA.cpp.

References ObjectiveFunctionVS< T >::closestFeasible(), CMA::create(), ObjectiveFunctionVS< T >::isFeasible(), m_cma, m_fitness, m_offspring, m_parents, Population::selectMuLambda(), Population::size(), and CMA::updateStrategyParameters().

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Member Data Documentation

CMA CMASearch::m_cma [protected]

Definition at line 150 of file CMA.h.

Referenced by getCMA(), init(), and run().

ObjectiveFunctionVS<double>* CMASearch::m_fitness [protected]

Definition at line 151 of file CMA.h.

Referenced by init(), and run().

PopulationT<double>* CMASearch::m_offspring [protected]

Definition at line 153 of file CMA.h.

Referenced by CMASearch(), init(), offspring(), run(), and ~CMASearch().

PopulationT<double>* CMASearch::m_parents [protected]

Definition at line 152 of file CMA.h.

Referenced by CMASearch(), init(), parents(), run(), and ~CMASearch().

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

• CMA.h
• CMA.cpp