Inheritance diagram for NSGA2:

Classes
class	evaluationThread
class	nObjectiveGreaterThan
	Utility class for generating a function for comparing genotype of an objective.
class	nsgaGenotype
	For implementing NSGA-II each genotype needs three more attributes necessary for the crowding distance calculation and sorting This class is a simple holder for such attributes.
Public Member Functions
	NSGA2 ()
	Constructor.
virtual	~NSGA2 ()
	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

NSGA-II.

Description

NSGA-II implements the Nondominated Sorting (multi-objective) Genetic Algorithm version 2

it use a multi-thread approach for parallel evaluation of Genotypes (see numThreads)

Warnings

Definition at line 43 of file nsga2.h.

Member Enumeration Documentation

enum GAPhases [protected]

used for manage GA cycle

Definition at line 106 of file nsga2.h.

Constructor & Destructor Documentation

NSGA2 ( )

Constructor.

Definition at line 33 of file nsga2.cpp.

References NSGA2::currPhase, NSGA2::fitfunc, NSGA2::isFinalized, NSGA2::isInitialized, GeneticAlgo::numGens, and NSGA2::reprod.

~NSGA2 ( ) [virtual]

Destructor.

Definition at line 44 of file nsga2.cpp.

References NSGA2::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 51 of file nsga2.cpp.

References NSGA2::fitfunc, GeneticAlgo::genome(), ConfigurationParameters::getObjectFromGroup(), ConfigurationParameters::getValue(), GeneticAlgo::numGenerations(), NSGA2::setEvaluation(), Evaluation::setGenome(), GeneticAlgo::setGenome(), GeneticAlgo::setNumGenerations(), NSGA2::setNumThreads(), and NSGA2::setReproduction().