GClasses::GBouncyBalls Class Reference

#include <GParticleSwarm.h>

Inheritance diagram for GClasses::GBouncyBalls:

Public Member Functions
	GBouncyBalls (GTargetFunction *pCritic, size_t population, GRand &rand, double probTeleport=0.01)
virtual	~GBouncyBalls ()
virtual const GVec &	currentVector ()
	Returns the current vector of the optimizer. For greedy search methods, this will be the best vector yet found. 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...
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 ()

Public Attributes
size_t	m_ball
size_t	m_bestIndex
GVec	m_errors
GMatrix	m_positions
double	m_probSpurt
double	m_probTeleport
GRand &	m_rand
GMatrix	m_velocities

Additional Inherited Members
Protected Attributes inherited from GClasses::GOptimizer
GTargetFunction *	m_pCritic

Constructor & Destructor Documentation

GClasses::GBouncyBalls::GBouncyBalls	(	GTargetFunction *	pCritic,
		size_t	population,
		GRand &	rand,
		double	probTeleport = 0.01
	)

virtual GClasses::GBouncyBalls::~GBouncyBalls ( )

virtual

Member Function Documentation

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

inlinevirtual

Returns the current vector of the optimizer. For greedy search methods, this will be the best vector yet found.

Implements GClasses::GOptimizer.

virtual double GClasses::GBouncyBalls::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.

static void GClasses::GBouncyBalls::test ( )

static

Member Data Documentation

size_t GClasses::GBouncyBalls::m_ball

size_t GClasses::GBouncyBalls::m_bestIndex

GVec GClasses::GBouncyBalls::m_errors

GMatrix GClasses::GBouncyBalls::m_positions

double GClasses::GBouncyBalls::m_probSpurt

double GClasses::GBouncyBalls::m_probTeleport

GRand& GClasses::GBouncyBalls::m_rand

GMatrix GClasses::GBouncyBalls::m_velocities