GClasses::GHillClimber Class Reference

#include <GHillClimber.h>

Inheritance diagram for GClasses::GHillClimber:

Public Member Functions
	GHillClimber (GTargetFunction *pCritic)
virtual	~GHillClimber ()
double	anneal (double dev, GRand *pRand)
	You can call this method to simulate one annealing jump with the specified deviation in all dimensions. More...
double	currentError ()
	Returns the error for the current vector. More...
virtual double *	currentVector ()
	Returns a pointer to the current vector. More...
virtual double	iterate ()
	Makes another attempt to find a better vector. Returns the heuristic error. (Usually you will call this method in a loop until your stopping criteria has been met.) More...
void	setChangeFactor (double d)
	d should be a value between 0 and 1 More...
void	setStepSizes (double size)
	Set all the current step sizes to this value. More...
double *	stepSizes ()
	Returns the vector of step sizes. More...
Public Member Functions inherited from GClasses::GOptimizer
	GOptimizer (GTargetFunction *pCritic)
virtual	~GOptimizer ()
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...

Protected Member Functions
void	reset ()

Protected Attributes
double	m_dChangeFactor
double	m_dError
size_t	m_nDims
double *	m_pAnnealCand
double *	m_pStepSizes
double *	m_pVector
Protected Attributes inherited from GClasses::GOptimizer
GTargetFunction *	m_pCritic

Constructor & Destructor Documentation

GClasses::GHillClimber::GHillClimber

(

GTargetFunction *

pCritic

)

virtual GClasses::GHillClimber::~GHillClimber ( )

virtual

Member Function Documentation

double GClasses::GHillClimber::anneal	(	double	dev,
		GRand *	pRand
	)

You can call this method to simulate one annealing jump with the specified deviation in all dimensions.

double GClasses::GHillClimber::currentError ( )

inline

Returns the error for the current vector.

virtual double* GClasses::GHillClimber::currentVector ( )

inlinevirtual

Returns a pointer to the current vector.

Implements GClasses::GOptimizer.

virtual double GClasses::GHillClimber::iterate ( )

virtual

Makes another attempt to find a better vector. Returns the heuristic error. (Usually you will call this method in a loop until your stopping criteria has been met.)

Implements GClasses::GOptimizer.

void GClasses::GHillClimber::reset ( )

protected

void GClasses::GHillClimber::setChangeFactor ( double  d )

inline

d should be a value between 0 and 1

void GClasses::GHillClimber::setStepSizes

(

double

size

)

Set all the current step sizes to this value.

double* GClasses::GHillClimber::stepSizes

(

)

Returns the vector of step sizes.

Member Data Documentation

double GClasses::GHillClimber::m_dChangeFactor

protected

double GClasses::GHillClimber::m_dError

protected

size_t GClasses::GHillClimber::m_nDims

protected

double* GClasses::GHillClimber::m_pAnnealCand

protected

double* GClasses::GHillClimber::m_pStepSizes

protected

double* GClasses::GHillClimber::m_pVector

protected