GClasses::GAnnealing Class Reference

Detailed Description

Perturbs the current vector in a random direction. If it made the vector worse, restores the previous vector. Decays the deviation of perturbation over time.

#include <GHillClimber.h>

Inheritance diagram for GClasses::GAnnealing:

Public Member Functions
	GAnnealing (GTargetFunction *pTargetFunc, GRand *pRand)
virtual	~GAnnealing ()
virtual const GVec &	currentVector ()
	Returns the best vector yet found. More...
virtual double	iterate ()
	Performs a little more optimization. (Call this in a loop until acceptable results are found.) More...
void	setDeviation (double d)
	Specify the current deviation to use for annealing. (A random vector from a Normal distribution with the specified deviation will be added to each candidate vector in order to simulate annealing.) More...
Public Member Functions inherited from GClasses::GOptimizer
	GOptimizer (GTargetFunction *pCritic)
virtual	~GOptimizer ()
void	basicTest (double minAccuracy, double warnRange=0.001)
	This is a helper method used by the unit tests of several model learners. More...
double	searchUntil (size_t nBurnInIterations, size_t nIterations, double dImprovement)
	This will first call iterate() nBurnInIterations times, then it will repeatedly call iterate() in blocks of nIterations times. If the error heuristic has not improved by the specified ratio after a block of iterations, it will stop. (For example, if the error before the block of iterations was 50, and the error after is 49, then training will stop if dImprovement is > 0.02.) If the error heuristic is not stable, then the value of nIterations should be large. More...

Static Public Member Functions
static void	test ()
	Performs unit testing. Throws an exception if any test fails. More...

Protected Member Functions
void	reset ()

Protected Attributes
double	m_decay
double	m_dError
double	m_deviation
size_t	m_dims
double	m_initialDeviation
GVec	m_pCandidate
GRand *	m_pRand
GVec	m_pVector
Protected Attributes inherited from GClasses::GOptimizer
GTargetFunction *	m_pCritic

Constructor & Destructor Documentation

GClasses::GAnnealing::GAnnealing	(	GTargetFunction *	pTargetFunc,
		GRand *	pRand
	)

virtual GClasses::GAnnealing::~GAnnealing ( )

virtual

Member Function Documentation

virtual const GVec& GClasses::GAnnealing::currentVector ( )

inlinevirtual

Returns the best vector yet found.

Implements GClasses::GOptimizer.

virtual double GClasses::GAnnealing::iterate ( )

virtual

Performs a little more optimization. (Call this in a loop until acceptable results are found.)

Implements GClasses::GOptimizer.

void GClasses::GAnnealing::reset ( )

protected

void GClasses::GAnnealing::setDeviation ( double  d )

inline

Specify the current deviation to use for annealing. (A random vector from a Normal distribution with the specified deviation will be added to each candidate vector in order to simulate annealing.)

static void GClasses::GAnnealing::test ( )

static

Performs unit testing. Throws an exception if any test fails.

Member Data Documentation

double GClasses::GAnnealing::m_decay

protected

double GClasses::GAnnealing::m_dError

protected

double GClasses::GAnnealing::m_deviation

protected

size_t GClasses::GAnnealing::m_dims

protected

double GClasses::GAnnealing::m_initialDeviation

protected

GVec GClasses::GAnnealing::m_pCandidate

protected

GRand* GClasses::GAnnealing::m_pRand

protected

GVec GClasses::GAnnealing::m_pVector

protected