AnnealingGA implements a genetic algorithm with an annealing style objective function. More...

#include <AnnealingGA.h>

Inheritance diagram for gplib::AnnealingGA:

Public Member Functions
int	GetBestIndex ()
	The index of the best population member. More...

void	SetParams (const double InitT, const int AnnealG, const double AnnealR)
	Set the parameters for the annealing process. More...

unsigned virtual int	GetNBestmodels ()
	How many best models exist in this iteration, for this GA it is always 1. More...

virtual std::vector< int >	GetBestModelIndices ()
	Return the vector containing the best indices, here it has always one component equal to GetBestIndex. More...

virtual void	CalcProbabilities (const int iterationnumber, gplib::rmat &LocalMisFit, GeneralPopulation &LocalPopulation)
	Calculate the selection probabilities given the iterationnumber, misfit and population to store the results. More...

	AnnealingGA (GeneralPropagation const LocalPropagation, GeneralPopulation const LocalPopulation, GeneralTranscribe *const LocalTranscribe, const tObjectiveVector &IndObjective, const int nthreads=1)
	The constructor only passes on the parameters to GeneralGA. More...

virtual	~AnnealingGA ()

Public Member Functions inherited from gplib::GeneralGA
const std::vector< double > &	GetWeights ()
	Return the weight for each objecive function. More...

void	SetupParams (const ttranscribed &member, tparamvector &params)
	Copy the appropriate parameter values from the transcribed vector for use with the objective functions. More...

const std::vector< double > &	GetAvgFit ()
	Return the average fitness for each objective function. More...

void	SetElitist (const bool IsElitist)
	Do we want elitist behaviour, effect depends on the GA implementetion in the derived class. More...

void	SetWeights (const std::vector< double > &LocalWeights)
	Set the weights for each objective function. More...

void	SetParameterIndices (const tparamindv &Indices)
	Configure which parts of the complete parameter vector are used in each objective function. More...

void	PrintFitStat (std::ostream &output)
	Print Fitness statistics for each objective function to output. More...

void	PrintMisfit (std::ostream &output)
	Print misfit for each member to output. More...

void	PrintTranscribed (std::ostream &output)
	Print transcribed values for each member to output. More...

void	PrintUniquePop (std::ostream &output)
	Print each population member exactly once. More...

void	PrintBestMisfit (std::ostream &output)
	Print misfit of the best population members. More...

virtual void	DoIteration (const int iterationnumber, const bool last)
	Do one iteration of the GA. More...

	GeneralGA (GeneralPropagation const LocalPropagation, GeneralPopulation const LocalPopulation, GeneralTranscribe *const LocalTranscribe, const tObjectiveVector &IndObjective, const int nthreads=1)

virtual	~GeneralGA ()

Protected Member Functions
virtual void	Elitism (const int iterationnumber)
	The implementation of Elitism for the AnnealingGA, in this case this function has no effect. More...

Additional Inherited Members
Public Types inherited from gplib::GeneralGA
typedef std::vector< gplib::rvec >	tparamvector
	We provide some typedefs that are used in other parts as well. More...

typedef std::vector < boost::shared_ptr < GeneralObjective > >	tObjectiveVector

typedef std::vector < std::vector< int > >	tparamindv

Protected Attributes inherited from gplib::GeneralGA
gplib::rmat	OldMisFit

const unsigned int	nobjective
	The number of objective functions we're using. More...

gplib::rmat	Transcribed
	A matrix holding the numerical model vectors (transcribed from the genes) for each population member. More...

gplib::rmat	MisFit
	Misfit first index objective function second index population member. More...

tObjectiveVector	Objective
	The vector holding the objective functions. More...

GeneralPropagation *const	Propagation
	A pointer to an object dealing with propagation. More...

GeneralPopulation *const	Population
	A pointer to an object holding the population. More...

GeneralTranscribe *const	Transcribe
	A pointer to an object translating genes to model vectors. More...

Detailed Description

AnnealingGA implements a genetic algorithm with an annealing style objective function.

For the first AnnealingGeneration iterations the objective function is kept constant after that the misfit is stretched with an exponential annealing function to focus on the minimum

Definition at line 15 of file AnnealingGA.h.

Constructor & Destructor Documentation

gplib::AnnealingGA::AnnealingGA	(	GeneralPropagation *const	LocalPropagation,
		GeneralPopulation *const	LocalPopulation,
		GeneralTranscribe *const	LocalTranscribe,
		const tObjectiveVector &	IndObjective,
		const int	nthreads = `1`
	)