Inheritance diagram for ParallelGA:

Classes
class	evaluationThread
Public Member Functions
	ParallelGA ()
	Constructor.
virtual	~ParallelGA ()
	Destructor.
virtual void	configure (ConfigurationParameters &params, QString prefix)
	Configure the object using the ConfigurationParameters specified.
virtual QVector< Evaluation * >	evaluationPool ()
	Return the Evaluation Pool containing the Evaluations used.
virtual Evaluation *	evaluationPrototype ()
	Returns the Evaluation object used as prototype to eventually generate other evaluators.
virtual void	finalize ()
	Finalize the Genetic Algorithm Process.
virtual void	gaStep ()
	Execute a single minor step and return.
virtual void	initialize ()
	Initializes the Genetic Algorithm Process and sets current generation to zero.
int	numThreads ()
	Return the number of thread currently used.
Reproduction *	reproduction ()
	Return the Reproduction operator.
virtual void	save (ConfigurationParameters &params, QString prefix)
	Save the actual status of parameters into the ConfigurationParameters object passed.
void	setEvaluation (Evaluation *fitfunc)
	Set the fitness function to use.
void	setNumThreads (int numThreads)
	Set the number of thread to use; or in other words the number of parallel evaluation of Genotypes.
void	setReproduction (Reproduction *reproduct)
	Set the Reproduction operator to use.
virtual void	skipEvaluation ()
	Skip the evaluation phase and put the algorithm in the state just after the evaluation.
Static Public Member Functions
static void	describe (QString type)
	Add to Factory::typeDescriptions() the descriptions of all parameters and subgroups.
Protected Types
enum	GAPhases { initEvaluation, evaluating, nextGeneration_pass1, nextGeneration_pass2, endEvolution }
	used for manage GA cycle More...
Protected Attributes
GAPhases	currPhase
	current Phase
Evaluation *	fitfunc
	fitness function
bool	isFinalized
	True if SimpleGA is finalized.
bool	isInitialized
	True if SimpleGA is initialized.
Reproduction *	reprod
	reproduction operator

Detailed Description

ParallelGA.

Description

ParallelGA implements a Simple Genetic Algorithm, some features are:

you can customize Reproduction process using setReproduction
you can customize, of course, the Fitness function using setEvaluation
it use a multi-thread approach for parallel evaluation of Genotypes (see numThreads)

Warnings

Definition at line 44 of file parallelga.h.

Member Enumeration Documentation

enum GAPhases [protected]

used for manage GA cycle

Definition at line 107 of file parallelga.h.

Constructor & Destructor Documentation

ParallelGA ( )

Constructor.

Definition at line 31 of file parallelga.cpp.

References ParallelGA::currPhase, ParallelGA::fitfunc, ParallelGA::isFinalized, ParallelGA::isInitialized, GeneticAlgo::numGens, and ParallelGA::reprod.

~ParallelGA ( ) [virtual]

Destructor.

Definition at line 43 of file parallelga.cpp.

References ParallelGA::fitfunc.

Member Function Documentation

void configure	(	ConfigurationParameters &	params,
		QString	prefix
	)		`[virtual]`

Configure the object using the ConfigurationParameters specified.

Parameters:

params	the object with configuration parameters
prefix	the group in which parameters are expected to be (this is terminated by a separator character). We expect to receive as prefix the groupwhich contains all GA parameters

Implements ParameterSettableWithConfigureFunction.

Definition at line 50 of file parallelga.cpp.

References ParallelGA::fitfunc, GeneticAlgo::genome(), ConfigurationParameters::getObjectFromGroup(), ConfigurationParameters::getValue(), GeneticAlgo::numGenerations(), ParallelGA::setEvaluation(), Evaluation::setGenome(), GeneticAlgo::setGenome(), GeneticAlgo::setNumGenerations(), ParallelGA::setNumThreads(), and ParallelGA::setReproduction().