Genetic algorithm from evorobot more or less (spare parts) More...

Inheritance diagram for Evoga:

Classes
class	Population
	A class modelling a population of genomes. More...

Public Slots
void	doNextStep ()
	Go ahead of one step if the EvoGa is in step-by-step modality, otherwise do nothing. More...

void	enableStepByStep (bool enable)
	enable/disable the step-by-step modality of evolution process More...

Signals
void	endGeneration (int generation, double fmax, double faverage, double fmin)
	emitted when a generation is ended More...

void	finished ()
	emitted when the evolution has been finished or stopped More...

void	recoveredInterruptedEvolution (QString statfile)
	emitted when an interrupted evolution has been recovered and it's going to start from there More...

void	startingReplication (int replication)
	emitted when a replication is going to start More...

Public Member Functions
	Evoga ()
	Constructor. More...

	~Evoga ()
	Destructor. More...

virtual QString	bestsFilename (unsigned int seed)
	Returns the name of the file with the best genomes for the given seed. More...

virtual QString	bestsFilename ()
	Returns the template name (regular expression) for "best genomes" files. More...

bool	commitStep ()
	this method marks the point on which it is called as a commited step of evolution More...

void	computeFStat ()
	Calculate the average, minimal and maximal fitness of the current population Assume that the fitness is always positive. More...

void	computeFStat2 ()
	Calculate the average, minimal and maximal fitness of the current population Assume that the fitness can also be negative. More...

virtual void	configure (ConfigurationParameters &params, QString prefix)
	Configures the object using a ConfigurationParameters object. More...

void	copyGenes (int from, int to, int mut)
	Copy the genotype of an individual into the genotype of a second individual and introduce mutations This function is used by the steadystate genetic algorithm to store the child in the genome matrix at position population+1 and eventually to use the genome of the child to overwrite the genome of the worst individual or discarded. More...

virtual void	doNotUseMultipleThreads ()
	Forces execution of the GA using no threads (i.e., in the current thread) More...

double	drand ()
	return a random floating point value generated with an uniform distribution in the range[0.0, 1.0] More...

virtual void	evolveAllReplicas ()
	Evolves all replications of the ga process. More...

void	evolveGenerational ()
	Main function of the Genetic Algorithm (Generational, Truncation Selection Version) The size of the population is set equal to nreproducing*noffspring Each individual is allowed to generate a variable number of offspring (noffspring parameter) Every generation the best "nreproducing" individuals are allowed to reproduce At reproduction the entire population is replaced by offspring unless the elitism parameter is greated than 0 When elitism is used, each individual is allowed to produce one or more offspring without mutations (i.e. More...

void	evolveSpecializerSteadyState ()
	Main function of the Genetic Algorithm developed by Jonata. More...

void	evolveSpecializerSteadyState2 ()
	Main function of the Genetic Algorithm developed by Jonata - Team Version. More...

void	evolveSteadyState ()
	Main function of the Genetic Algorithm (Steady State Version) Each individual of the population is allowed to produce an offspring that is used to replace the current worst individual or discarded depending on whether its fitness is better or not of the worst individuals During each generation individuals are re-evaluated to avoid that individuals that happened to be luck in their first evaluation continue to be overestimated with respect to their real capacities The mutation rate is initially set to 50% and then progressively reduced of 1% each generation until it reach the value specified in the mutation rate parameter This initially hight mutation rate is used to explore many random solutions during the initial generations to avoid premature convergence The size of the population is set equal to nreproducing*noffspring however, the number of offsrping is always 1 (it is independent from the noffpring parameter) More...

virtual QString	generationFilename (unsigned int generation, unsigned int seed)
	Returns the name of the file containing the given generation for the given seed. More...

virtual QString	generationFilename ()
	Returns the template name (regular expression) for "generation" files. More...

int *	getBestGenes (int ind)
	Return a pointer to the genome of one individual stored in the bestgenome matrix. More...

virtual unsigned int	getCurrentGeneration ()
	Returns the current generation. More...

virtual double	getCurrentMutationRate ()
	Returns the current mutation rate. More...

virtual unsigned int	getCurrentSeed ()
	Returns the current seed. More...

QString	getEvolutionType ()

virtual EvoRobotExperiment *	getEvoRobotExperiment ()
	Returns a pointer to the EvoRobotExperiment object. More...

virtual QVector< EvoRobotExperiment * >	getEvoRobotExperimentPool ()
	Returns a list of pointers to the EvoRobotExperiment objects used by the ga to evaluate agents. More...

int *	getGenes (int ind)
	Return a pointer to the genome of one individual of the current population. More...

virtual int *	getGenesForIndividual (unsigned int id)
	Returns the array of genes for the given individual. More...

void	getGenome (int frombestgenome, int togenome, int mut)
	Copy a genome stored in the bestgenome matrix into the genome of the current population Apply mutation during the copy. More...

void	getLastFStat (double &min, double &max, double &average)
	return the last value of min, max and average fitness More...

double	getNoise (double minn, double maxn)
	Unused function (to be removed) More...

virtual unsigned int	getNumOfGenerations ()
	Returns the number of generations to do. More...

virtual unsigned int	getNumReplications ()
	Returns the number of replications. More...

void	getPheParametersAndMutationsFromEvonet ()
	transfer .phe info inside GA More...

virtual unsigned int	getStartingSeed ()
	Returns the starting seed. More...

bool	isEnabledStepByStep ()
	return true is the step-by-step modality is enabled, false otherwise More...

bool	isStopped ()
	return true if the evolution process has been stopped with stop() More...

int	loadallg (int gen, const char *filew)
	Load the genome of the population from a file. More...

void	loadallTeams (int gen, const char *filew, QVector< QVector< int > > &teams)
	Load the teams of the population from a file. More...

void	loadgenotype (FILE *fp, int ind)
	Load the genome of one individual in a text file. More...

virtual unsigned int	loadGenotypes (QString filename)
	Loads genotypes from the given file. More...

int	loadStatistics (char *filename)
	Load the fitness statistics from a .fit file Return the number of loaded individuals (0 if the file does not exists) More...

int	mrand (int i)
	return a random integer generated with an uniform distribution in the range [0, i-1] More...

void	mreproduce ()
	Identify the best individuals and copy their genotypes into the bestgenome Matrix It also save the best genotypes in the Bx.gen files Assume that the best individuals have the lowest fitness (minimization) This function is not used and it is to be removed. More...

int	mutate (int w, double mut)
	Mutate one gene Since genes are store as integer, this function first trasform them into 8 bits and then mutate (i.e. More...

virtual unsigned int	numLoadedGenotypes () const
	Returns number of loaded genotypes. More...

virtual void	postConfigureInitialization ()
	This function is called after all linked objects have been configured. More...

void	printBest ()
	Print the fitness of the best individuals of the current population. More...

void	printPop ()
	Print the fitness of the individuals of the current population. More...

void	putGenome (int fromgenome, int tobestgenome)
	Copy the genome of one individual to the bestgenome matrix in a specific position. More...

void	randomizePop ()
	Randomize the genome of the population. More...

void	reproduce ()
	Identify the best individuals and copy their genotypes into the bestgenome Matrix It also save the best genotypes in the Bx.gen files. More...

void	resetGenerationCounter ()
	Reset the generation counter to 0. More...

void	resetStop ()
	reset the stopped status to false More...

virtual QString	retentionsFilename (unsigned int seed)
	Returns the name of the file with statistics (retentions) for the given seed. More...

int	rouletteWheel (QVector< double > candidates)
	perform a roulette wheel and return the winner's index More...

virtual void	save (ConfigurationParameters &params, QString prefix)
	Save the actual status of parameters into the ConfigurationParameters object passed. More...

void	saveagenotype (FILE *fp, int ind)
	Save the genome of one individual in a text file. More...

void	saveallg ()
	Save the genome of the current population in a G?S?.gen file. More...

void	saveallgComposed (QVector< QVector< int > > composedGen)
	Save the composed genome of the current population in a G?S?.composed.gen file. More...

void	saveBestFitness ()

void	saveBestInd ()
	Append the genome of the best individual of the current population to the BdSd.gen file. More...

void	saveBestTeam (QVector< QVector< int > > teams, QVector< double > fitness)
	Append the best team of the current population to the BdSd.composed.gen file. More...

void	saveFStat ()
	Save the average, minimal and maximal fitness by appending a line to the statSd.fit file. More...

void	saveRStat (QVector< int > subsVec)
	Save the information regarding the offspring retention by appending a line to the retention statistics file (function retentions. More...

void	saveStatistics (int popSize, int rp)

virtual void	setCurrentMutationRate (double mutation_rate)
	Set the current mutation rate to use. More...

void	setInitialPopulation (int *)
	Overwrite the genome of all individuals with a manually specify vector of parameters (loaded from a .phe file) This enable to manually fix some of the parameters The Evonet::DEFAULT_VALUE value is used to indicate the parameters are not fixed and that are replaced with randomly generated value. More...

void	setMutations (float *)
	Set the mutation rate of each parameter. More...

void	setSeed (int s)
	Initialize the random number generator. More...

virtual QString	statisticsFilename (unsigned int seed)
	Returns the name of the file with statistics (fitness) for the given seed. More...

void	stop ()
	stop the running evolution process as soon as possible More...

void	updateGenomeFromEvonet (int ind)
	update the genome of the individual to match the current weights of Evonet More...

void	xnes ()
	Main function of the xNES Algorithm (exponential Natural Evolution Strategies) The size of the population is set to 1 (i.e. More...

void	xnesComputeStats ()

float *	xnesGetGenes (int ind)

float *	xnesGetGenesForIndividual (unsigned int id)

int	xnesLoadAllGen (int gen, const char *filew)

void	xnesLoadGen (FILE *fp, int ind)

void	xnesSaveAllGen ()

void	xnesSaveBest (int bi)

void	xnesSaveBestPhe (int gen, int bi)

void	xnesSaveGen (FILE fp, float genotype)

void	xnesSaveStats ()

Public Member Functions inherited from ParameterSettable
void	addObserver (RuntimeParameterObserver *obs)

T	getRuntimeParameter (QString paramName)

virtual ParameterSettableUI *	getUIManager ()

void	removeObserver (RuntimeParameterObserver *obs)

void	setRuntimeParameter (QString paramName, T newvalue)

QString	typeName () const

Public Member Functions inherited from ConcurrentResourcesUser
void	addUsableResource (QString resource)

void	addUsableResources (QStringList resources)

void	declareResource (QString name, T *resource, QString lockBuddy="")

void	deleteResource (QString name)

T *	getResource (QString name, bool *resourceExists=NULL)

bool	hasResource (QString name) const

void	removeAllUsableResources ()

void	removeUsableResource (QString resource)

void	removeUsableResources (QStringList resources)

virtual void	shareResourcesWith (ResourcesUser *buddy)

void	usableResources (QStringList resources)

bool	usedResourcesExist (QStringList *nonExistingResources=NULL) const

Static Public Member Functions
static void	describe (QString type)
	Add to Factory::typeDescriptions() the descriptions of all parameters and subgroups. More...

Static Public Member Functions inherited from ParameterSettable
static void	describe (QString type)

static QString	fullParameterDescriptionPath (QString type, QString param)

static QString	fullSubgroupDescriptionPath (QString type, QString sub)

Public Attributes
int	numModules
	The number of modules that a genotype should use. More...

Public Attributes inherited from ParameterSettable
	AllowMultiple

	Default

	IsList

	IsMandatory

Static Public Attributes
static const int	MAXINDIVIDUALS = 1000
	constant defining the maximimum number of individuals that Evoga can manage More...

Static Public Attributes inherited from ParameterSettable
static const double	Infinity

static const int	MaxInteger

static const int	MinInteger

Protected Attributes
bool	averageIndividualFitnessOverGenerations
	Whether to average an individual fitness with its previous one or not. More...

bool	backPropOffspringFitnessIncrease
	Flag whether to increase the fitness of the backpropagation offspring. More...

float	backPropOffspringFitnessIncreasePercentage
	Percentage of increase of the fitness of the backpropagation offspring. More...

int	backPropOffspringUtilityRank
	The utility rank of the backpropagation offspring in the second type of combination with xNES. More...

Population	bestgenome
	The matrix that contains a copy of the genome of the best individuals. More...

int	ccycle
	The current cycle. More...

int	cgen
	current generation More...

double	crossRate
	The probability that a crossover will occur in an offspring team – specializerSteadyState. More...

int	currentSeed
	The seed of the current generation (used for example to generate the name of the G?S?.gen files) More...

bool	debugPrintInfoToFile
	Flags whether to print debug information about the xNES algorithm to file. More...

bool	dissociateCovMatrix
	Flags whether to dissociate back-propagation effect on the xNES covariance matrix update. More...

bool	dissociateInd
	Flags whether to dissociate back-propagation effect on the xNES individual update. More...

bool	elitism
	if the Evoga will use elitism or not More...

QString	evolutionType
	specify the type of the evolution process to execute This string can only assume two values at the moment: 'steadyState' or 'generational' or 'xnes' More...

EvoRobotExperiment *	exp
	the EvoRobotExperiment More...

double	faverage

double	fbest
	fitness best More...

int	fbestgen
	fitness best generation (maximum) More...

double	fmax

double	fmin
	fitness statistics (minimum, maximum, and average fitness) More...

double	gaussianMean
	Mean of the gaussian distribution. More...

double	gaussianStdDev
	Standard deviation of the gaussian distribution. More...

Population	genome
	The matrix that contain the genome of the corrent population. More...

QVector< float * >	genotypes

int	glen
	genome lenght (number of free parameters) More...

double	initial_mutation
	The initial mutation rate setted when steadyState algorithm is used. More...

bool	isStepByStep
	if step-by-step modality is enabled or not More...

double	limitationFactor
	The limitation factor that will multiply the offsprings' fitness. More...

bool	limitRetention
	Wheather the retention should be limited or not. More...

int	loadedIndividuals
	The number of individual genome loaded from a .gen file into the genome matrix (-1 when none has been loaded) More...

bool	minimization
	Flags whether the fitness function is set to solve a minimization problem. More...

double	modulesMutationRate
	The probability that a module will be mutated on a team – specializerSteadyState. More...

bool	mutateOnlyRelatives
	Wheater a module should be replace by its own offspring or by any offspring – specializerSteadyState. More...

double	mutation
	The mutation rate can vary from 0 to 1 continuosly to express probability in the range [0, 100%]. More...

double	mutationdecay
	The amount of reduction of the mutation generations during the first generations until it reaches the specified mutation rate. More...

double	mutationLearningRate
	The mutation learning rate used to generate offspring from backprop array. More...

double	mutationRange
	The mutation range used in XNES algorithm to initialize the individual. More...

float *	mutations
	vector of parameter-specific mutations More...

QMutex	mutexStepByStep
	the mutex used for controlling the step-by-step modality More...

int	noffspring
	number of sons More...

int	nogenerations
	The number of generations specified with the ngenerations parameter. More...

int	nreplications
	The number of replications specified with the corresponding parameter. More...

int	nreproducing
	number of individuals allowed to reproduce More...

double *	ntfitness
	A pointer to a vector used to store the total number of trials in which an unchanged individuals have been evaluated. More...

int	numStartInd
	Number of possible individuals from which finding out the starting individual of XNES. More...

unsigned int	numThreads
	The number of concurrent threads to use. More...

double	offspringMutRange
	The mutation range used in XNES algorithm to generate the offspring. More...

double	offspringStdDev
	Standard deviation to generate offspring. More...

double	overwriteRate
	The probability that a module will be overwritten by another one – specializerSteadyState. More...

int	pheGen
	How often (in terms of number of generations) the best phenotype must be saved. More...

int	popSize
	population size More...

double	rankBasedProb
	The probability that the individuals with the highest fitness will be selected. More...

int	savebest
	save best savebest parents by default equals 1 More...

ConfigurationParameters	savedConfigurationParameters
	A copy of the ConfigurationParameters object that was passed to our configure method. More...

QString	savedExperimentPrefix
	A copy of the prefix for experiment parameters. More...

int	savePopulationEachNGenerations
	How often (i.e. how many generations) we want to same the population genome in a .gen file. More...

bool	saveRetStat
	Whether to save retentions statistics or not. More...

int	seed
	The number used to initialized the seed of the first replication (successive replication use incremented numbers) More...

QString	selectionType
	The type of selection that will be used to define which individuals will survive. More...

bool	specialUtilityRanking
	Flags whether to use a special version to compute utility ranking. More...

bool	standardNes
	Flags whether the standard xNES algorithm must be used (i.e. the parameters are set according to the paper) More...

double **	statfit
	A matrix that store the statistics (average, min, and max fitness) for all generations. More...

bool	stopEvolution
	Flag used to request to end the evolutionary process. More...

double	targetRetentionRate
	The target retention rate. More...

double *	terror
	A pointer to a vector used to store the sum of the errors obtained during different evaluations of an unmodified individual. More...

double *	tfitness
	A pointer to a vector used to store the sum of the fitness obtained during different evaluations of an unmodified individual. More...

bool	useGaussian
	Flag to decide whether using gaussian distribution to generate offspring. More...

bool	variableStdDev
	Flags whether the standard deviation to generate offspring is constant or not. More...

QWaitCondition	waitForNextStep
	the wait condition for waiting on step-by-step modality More...

bool	xnesCombination
	Flag to decide whether combining xnes with backpropagation algorithm. More...

int	xnesCombinationType
	The type of combination between xnes and backpropagation algorithms. More...

Protected Attributes inherited from ResourcesUser
ResourceCollectionHolder	m_resources

Additional Inherited Members
Public Types inherited from ParameterSettable
enum	Property

Public Types inherited from ResourcesUser
typedef Resource::ResourceChangeType	ResourceChangeType

Public Types inherited from Resource
enum	ResourceChangeType

Protected Member Functions inherited from ParameterSettable
void	notifyChangesToParam (QString paramName)

Protected Member Functions inherited from ConcurrentResourcesUser
T *	getResource ()

virtual void	resourceChanged (QString name, ResourceChangeType changeType)

Protected Member Functions inherited from ResourcesUser
	ResourcesUser (const ResourcesUser &other)

virtual void	notifyResourceChange (ResourceHandler *resource, ResourceChangeType changeType)=0

ResourcesUser &	operator= (const ResourcesUser &other)

Static Protected Member Functions inherited from ParameterSettable
static Descriptor	addTypeDescription (QString type, QString shortHelp, QString longHelp=QString(""))

static void	setGraphicalEditor (QString type)

Detailed Description

Genetic algorithm from evorobot more or less (spare parts)

Mandatory Resources that the EvoRobotExperiment has to declare:

Optional Resources that the EvoRobotExperiment may declare:

"evonet": a pointer to the EvoNet

Definition at line 50 of file evoga.h.

Constructor & Destructor Documentation

Evoga ( )

Constructor.

Definition at line 318 of file evoga.cpp.

~Evoga ( )

Destructor.

Definition at line 360 of file evoga.cpp.

References Evoga::exp, Evoga::mutations, Evoga::nogenerations, Evoga::ntfitness, Evoga::statfit, Evoga::terror, and Evoga::tfitness.

Member Function Documentation

QString bestsFilename ( unsigned int seed )

virtual

Returns the name of the file with the best genomes for the given seed.

Parameters

seed	the seed from which the filename should be returned

Returns: the name of the file with the best genomes for the given seed

Definition at line 3150 of file evoga.cpp.

QString bestsFilename ( )

virtual

Returns the template name (regular expression) for "best genomes" files.

Definition at line 3155 of file evoga.cpp.

bool commitStep ( )

this method marks the point on which it is called as a commited step of evolution

This method allow to divide the code on blocks where each of it can be considered as a single step of the evolution process. These key points define the behaviour when the advancement step-by-step has been requested. When the advancement of the evolution is on "step-by-step" (enableStepByStep method), everytime this method is encountered the process will stop waiting to pass over when the user send a request to perform an another step.

This method handle also the stopping process of the evolution. In fact, it return true if the evolution process has been stopped with stop() This function return true only between the calls to stop() and to resetStop() methods:

stop(); commitStep(); // <– it will return true resetStop(); commitStep(); // <– it will return false

Note: resetStop() is not called automatically by the Evoga after the exit for a stop, but it's called by the EvoRobotComponent after the execution of action 'stop'; If you want to use the Evoga in your custom Component remember to call resetStop()

Definition at line 3040 of file evoga.cpp.

References Evoga::isStepByStep, Evoga::mutexStepByStep, Evoga::stopEvolution, and Evoga::waitForNextStep.

Referenced by EvoRobotExperiment::doAllTrialsForIndividual(), Evoga::evolveGenerational(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), and Evoga::xnes().

void computeFStat ( )

Calculate the average, minimal and maximal fitness of the current population Assume that the fitness is always positive.

Definition at line 706 of file evoga.cpp.

References Evoga::cgen, Evoga::fbest, Evoga::fbestgen, Evoga::fmin, farsa::max(), farsa::min(), Evoga::popSize, Evoga::statfit, and Evoga::tfitness.

Referenced by Evoga::mreproduce(), and Evoga::reproduce().

void computeFStat2 ( )

Calculate the average, minimal and maximal fitness of the current population Assume that the fitness can also be negative.

Definition at line 732 of file evoga.cpp.

References Evoga::cgen, Evoga::fbest, Evoga::fbestgen, Evoga::fmin, farsa::max(), farsa::min(), Evoga::ntfitness, Evoga::popSize, Evoga::statfit, and Evoga::tfitness.

Referenced by Evoga::evolveSteadyState().

void configure	(	ConfigurationParameters &	params,
		QString	prefix
	)

virtual

Configures the object using a ConfigurationParameters object.

Parameters

params	the configuration parameters object with parameters to use
prefix	the prefix to use to access the object configuration parameters. This is guaranteed to end with the separator character when called by the factory, so you don't need to add one

Implements ParameterSettableWithConfigureFunction.

Definition at line 2784 of file evoga.cpp.

References Evoga::averageIndividualFitnessOverGenerations, Evoga::backPropOffspringFitnessIncrease, Evoga::backPropOffspringFitnessIncreasePercentage, Evoga::backPropOffspringUtilityRank, Evoga::bestgenome, Evoga::crossRate, Evoga::debugPrintInfoToFile, Evoga::dissociateCovMatrix, Evoga::dissociateInd, Evoga::elitism, Logger::error(), Evoga::evolutionType, Evoga::exp, Evoga::gaussianMean, Evoga::gaussianStdDev, Evoga::genome, ConfigurationHelper::getBool(), ConfigurationHelper::getDouble(), ConfigurationHelper::getInt(), ConfigurationParameters::getObjectFromGroup(), ConfigurationHelper::getString(), ConfigurationParameters::getValue(), Logger::info(), Evoga::initial_mutation, Evoga::limitRetention, Evoga::minimization, Evoga::modulesMutationRate, Evoga::mutateOnlyRelatives, Evoga::mutation, Evoga::mutationdecay, Evoga::mutationLearningRate, Evoga::mutationRange, Evoga::noffspring, Evoga::nogenerations, Evoga::nreplications, Evoga::nreproducing, Evoga::numModules, Evoga::numStartInd, Evoga::numThreads, Evoga::offspringMutRange, Evoga::offspringStdDev, Evoga::overwriteRate, Evoga::pheGen, Evoga::rankBasedProb, Evoga::savebest, Evoga::savedConfigurationParameters, Evoga::savedExperimentPrefix, Evoga::savePopulationEachNGenerations, Evoga::saveRetStat, Evoga::seed, Evoga::selectionType, EvoRobotExperiment::setEvoga(), Evoga::specialUtilityRanking, Evoga::standardNes, Evoga::targetRetentionRate, Evoga::useGaussian, Evoga::variableStdDev, Evoga::xnesCombination, and Evoga::xnesCombinationType.

void copyGenes	(	int	from,
		int	to,
		int	mut
	)

Copy the genotype of an individual into the genotype of a second individual and introduce mutations This function is used by the steadystate genetic algorithm to store the child in the genome matrix at position population+1 and eventually to use the genome of the child to overwrite the genome of the worst individual or discarded.

Parameters

from	The id of the individual genome to reproduce
to	The id of the location where the reproduced individual is stored
mut	A binary flag that specify whether mutation should be introduced of not

Definition at line 455 of file evoga.cpp.

References Evonet::DEFAULT_VALUE, Evoga::genome, Evoga::glen, Evoga::mutate(), Evoga::mutation, and Evoga::mutations.

Referenced by Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), and Evoga::evolveSteadyState().

void describe ( QString type )

static

Add to Factory::typeDescriptions() the descriptions of all parameters and subgroups.

Parameters

type is the name of the type regarding the description. The type is used when a subclass reuse the description of its parent calling the parent describe method passing the type of the subclass. In this way, the result of the method describe of the parent will be the addition of the description of the parameters of the parent class into the type of the subclass

Definition at line 2886 of file evoga.cpp.

References ParameterSettable::addTypeDescription(), ParameterSettable::IsMandatory, and ParameterSettable::MaxInteger.

void doNextStep ( )

slot

Go ahead of one step if the EvoGa is in step-by-step modality, otherwise do nothing.

Definition at line 3070 of file evoga.cpp.

References Evoga::waitForNextStep.

void doNotUseMultipleThreads ( )

virtual

Forces execution of the GA using no threads (i.e., in the current thread)

Definition at line 3170 of file evoga.cpp.

References Evoga::numThreads.

Referenced by EvoRobotExperiment::postConfigureInitialization().

double drand ( )

return a random floating point value generated with an uniform distribution in the range[0.0, 1.0]

Parameters

i	The maximum value of the integer to be generated

Definition at line 383 of file evoga.cpp.

Referenced by Evoga::getNoise(), and Evoga::mutate().

void enableStepByStep ( bool enable )

slot

enable/disable the step-by-step modality of evolution process

When the step-by-step modality is enabled, the evolution process will block in some specific points waiting the user command to go ahead

Parameters

enable if true enable the step-by-step, if false disable it

Definition at line 3058 of file evoga.cpp.

References Evoga::isStepByStep, and Evoga::waitForNextStep.

void endGeneration	(	int	generation,
		double	fmax,
		double	faverage,
		double	fmin
	)

signal

emitted when a generation is ended

Parameters

generation	is the number of generation finished
fmax	is the maximum fitness value
faverage	is the average fitness
fmin	is the minimum fitness value

Referenced by Evoga::evolveGenerational(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), and Evoga::xnes().

void evolveAllReplicas ( )

virtual

Evolves all replications of the ga process.

Definition at line 3016 of file evoga.cpp.

References Logger::error(), Evoga::evolutionType, Evoga::evolveGenerational(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), Evoga::numModules, Evoga::stopEvolution, and Evoga::xnes().

Referenced by EvoRobotComponent::evolve(), and EvolveOperation::run().

void evolveGenerational ( )

Main function of the Genetic Algorithm (Generational, Truncation Selection Version) The size of the population is set equal to nreproducing*noffspring Each individual is allowed to generate a variable number of offspring (noffspring parameter) Every generation the best "nreproducing" individuals are allowed to reproduce At reproduction the entire population is replaced by offspring unless the elitism parameter is greated than 0 When elitism is used, each individual is allowed to produce one or more offspring without mutations (i.e.

identical copies)

Definition at line 2676 of file evoga.cpp.

References Evoga::commitStep(), EvoRobotExperiment::doAllTrialsForIndividual(), Evoga::endGeneration(), EvoRobotExperiment::endGeneration(), Evoga::exp, Evoga::fbest, Evoga::fmin, Evoga::genome, Evoga::getCurrentSeed(), EvoRobotExperiment::getFitness(), Evoga::getGenes(), Evoga::getPheParametersAndMutationsFromEvonet(), Evoga::getStartingSeed(), ConcurrentResourcesUser::hasResource(), Logger::info(), EvoRobotExperiment::initGeneration(), Evoga::loadallg(), EvoRobotExperiment::newGASeed(), Evoga::nogenerations, Evoga::nreplications, Evoga::popSize, Evoga::randomizePop(), Evoga::recoveredInterruptedEvolution(), Evoga::reproduce(), Evoga::resetGenerationCounter(), Evoga::saveallg(), Evoga::savePopulationEachNGenerations, EvoRobotExperiment::setNetParameters(), Evoga::setSeed(), Evoga::startingReplication(), and Evoga::tfitness.

Referenced by Evoga::evolveAllReplicas().

void evolveSpecializerSteadyState ( )

Main function of the Genetic Algorithm developed by Jonata.

Definition at line 3187 of file evoga.cpp.

References Evoga::cgen, Evoga::commitStep(), Evoga::copyGenes(), Evoga::currentSeed, EvoRobotExperiment::doAllTrialsForIndividual(), Evoga::endGeneration(), EvoRobotExperiment::endGeneration(), Evoga::exp, Evoga::fmin, Evoga::genome, EvoRobotExperiment::getFitness(), Evoga::getGenesForIndividual(), ConfigurationParameters::getObjectFromGroup(), Evoga::getPheParametersAndMutationsFromEvonet(), Evoga::getStartingSeed(), ConcurrentResourcesUser::hasResource(), Logger::info(), EvoRobotExperiment::initGeneration(), Evoga::initial_mutation, Evoga::isStopped(), Evoga::limitationFactor, Evoga::limitRetention, Evoga::loadallg(), Evoga::loadedIndividuals, EvoRobotExperiment::m_weightIndividual, Evoga::mutation, Evoga::mutationdecay, Evoga::nogenerations, Evoga::nreplications, Evoga::numThreads, Evoga::popSize, Evoga::randomizePop(), Evoga::recoveredInterruptedEvolution(), Evoga::resetGenerationCounter(), Evoga::saveallg(), Evoga::savedConfigurationParameters, Evoga::savedExperimentPrefix, Evoga::saveFStat(), Evoga::savePopulationEachNGenerations, Evoga::saveRetStat, Evoga::saveRStat(), EvoRobotExperiment::setEvoga(), Evoga::setSeed(), Evoga::startingReplication(), Evoga::statfit, Evoga::targetRetentionRate, and Logger::warning().

Referenced by Evoga::evolveAllReplicas().

void evolveSpecializerSteadyState2 ( )

Main function of the Genetic Algorithm developed by Jonata - Team Version.

Definition at line 3405 of file evoga.cpp.

References Evoga::cgen, Evoga::commitStep(), Evoga::copyGenes(), Evoga::crossRate, Evoga::currentSeed, EvoRobotExperiment::doAllTrialsForIndividual(), Evoga::endGeneration(), EvoRobotExperiment::endGeneration(), Evoga::exp, Evoga::fmin, Evoga::genome, EvoRobotExperiment::getFitness(), Evoga::getGenesForIndividual(), ConfigurationParameters::getObjectFromGroup(), Evoga::getPheParametersAndMutationsFromEvonet(), Evoga::getStartingSeed(), ConcurrentResourcesUser::hasResource(), FitnessAndId::id, Logger::info(), EvoRobotExperiment::initGeneration(), Evoga::initial_mutation, Evoga::limitationFactor, Evoga::limitRetention, Evoga::loadallg(), Evoga::loadallTeams(), Evoga::loadedIndividuals, EvoRobotExperiment::m_weightIndividual, Evoga::modulesMutationRate, Evoga::mutateOnlyRelatives, Evoga::mutation, Evoga::mutationdecay, Evoga::noffspring, Evoga::nogenerations, Evoga::nreplications, Evoga::numModules, Evoga::numThreads, Evoga::overwriteRate, Evoga::popSize, Evoga::randomizePop(), Evoga::rankBasedProb, Evoga::recoveredInterruptedEvolution(), Evoga::resetGenerationCounter(), Evoga::rouletteWheel(), Evoga::saveallg(), Evoga::saveallgComposed(), Evoga::saveBestTeam(), Evoga::savedConfigurationParameters, Evoga::savedExperimentPrefix, Evoga::saveFStat(), Evoga::savePopulationEachNGenerations, Evoga::saveRetStat, Evoga::saveRStat(), Evoga::selectionType, EvoRobotExperiment::setEvoga(), Evoga::setSeed(), Evoga::startingReplication(), Evoga::statfit, Evoga::targetRetentionRate, and Logger::warning().

Referenced by Evoga::evolveAllReplicas().

void evolveSteadyState ( )

Main function of the Genetic Algorithm (Steady State Version) Each individual of the population is allowed to produce an offspring that is used to replace the current worst individual or discarded depending on whether its fitness is better or not of the worst individuals During each generation individuals are re-evaluated to avoid that individuals that happened to be luck in their first evaluation continue to be overestimated with respect to their real capacities The mutation rate is initially set to 50% and then progressively reduced of 1% each generation until it reach the value specified in the mutation rate parameter This initially hight mutation rate is used to explore many random solutions during the initial generations to avoid premature convergence The size of the population is set equal to nreproducing*noffspring however, the number of offsrping is always 1 (it is independent from the noffpring parameter)

Definition at line 2382 of file evoga.cpp.

References Evoga::averageIndividualFitnessOverGenerations, Evoga::cgen, Evoga::commitStep(), Evoga::computeFStat2(), Evoga::copyGenes(), Evoga::currentSeed, EvoRobotExperiment::doAllTrialsForIndividual(), Evoga::endGeneration(), EvoRobotExperiment::endGeneration(), Evoga::exp, Evoga::fbest, Evoga::fmin, Evoga::genome, Evoga::getCurrentSeed(), EvoRobotExperiment::getFitness(), Evoga::getGenes(), ConfigurationParameters::getObjectFromGroup(), Evoga::getPheParametersAndMutationsFromEvonet(), Evoga::getStartingSeed(), ConcurrentResourcesUser::hasResource(), Logger::info(), EvoRobotExperiment::initGeneration(), Evoga::initial_mutation, Evoga::isStopped(), Evoga::limitationFactor, Evoga::limitRetention, Evoga::loadallg(), Evoga::mutation, Evoga::mutationdecay, EvoRobotExperiment::newGASeed(), Evoga::nogenerations, Evoga::nreplications, Evoga::ntfitness, Evoga::numThreads, Evoga::popSize, Evoga::randomizePop(), Evoga::recoveredInterruptedEvolution(), Evoga::resetGenerationCounter(), Evoga::saveallg(), Evoga::saveBestInd(), Evoga::savedConfigurationParameters, Evoga::savedExperimentPrefix, Evoga::saveFStat(), Evoga::savePopulationEachNGenerations, Evoga::saveRetStat, Evoga::saveRStat(), EvoRobotExperiment::setEvoga(), EvoRobotExperiment::setNetParameters(), Evoga::setSeed(), Evoga::startingReplication(), Evoga::targetRetentionRate, Evoga::tfitness, and Logger::warning().

Referenced by Evoga::evolveAllReplicas().

void finished ( )

signal

emitted when the evolution has been finished or stopped

QString generationFilename	(	unsigned int	generation,
		unsigned int	seed
	)

virtual

Returns the name of the file containing the given generation for the given seed.

Parameters

seed	the seed from which the filename should be returned
generation	the generation of interest

Returns: the name of the file with genomes for the given seed and generation

Definition at line 3160 of file evoga.cpp.

QString generationFilename ( )

virtual

Returns the template name (regular expression) for "generation" files.

Definition at line 3165 of file evoga.cpp.

int * getBestGenes ( int ind )

Return a pointer to the genome of one individual stored in the bestgenome matrix.

Parameters

ind	The id of the individual

Definition at line 1016 of file evoga.cpp.

References Evoga::bestgenome.

unsigned int getCurrentGeneration ( )

virtual

Returns the current generation.

Returns: the current generation

Definition at line 3086 of file evoga.cpp.

References Evoga::cgen.

Referenced by EvoRobotExperiment::doAllTrialsForIndividual().

double getCurrentMutationRate ( )

virtual

Returns the current mutation rate.

Note: this can differ from generation to generation in the case of steadyState evolution

Returns: the current mutation rate

Definition at line 3110 of file evoga.cpp.

References Evoga::mutation.

unsigned int getCurrentSeed ( )

virtual

Returns the current seed.

Returns: the current seed

Definition at line 3096 of file evoga.cpp.

References Evoga::currentSeed.

Referenced by EvoRobotExperiment::doAllTrialsForIndividual(), Evoga::evolveGenerational(), Evoga::evolveSteadyState(), EvoRobotExperiment::setEvoga(), and Evoga::xnes().

EvoRobotExperiment * getEvoRobotExperiment ( )

virtual

Returns a pointer to the EvoRobotExperiment object.

It is not guaranteed that the returned object is effectively used for evolution, in some cases it could simply be a prototype used to generate objects (via cloning) that are used to evaluate agents. Use getExperimentPool() if you want to be sure to get objects used for evaluation

Returns: a pointer to the EvoRobotExperiment object

Definition at line 3074 of file evoga.cpp.

References Evoga::exp.

Referenced by TestRandom::buildRandomDNA(), EvoRobotComponent::evolve(), EvoRobotViewer::EvoRobotViewer(), EvolveOperation::run(), TestRandom::runTest(), TestIndividual::runTest(), and TestCurrent::runTest().

QVector< EvoRobotExperiment * > getEvoRobotExperimentPool ( )

virtual

Returns a list of pointers to the EvoRobotExperiment objects used by the ga to evaluate agents.

Objects returned by this function are those effectively used to evaluate individuals (see also getEvoRobotExperiment()). Note that the list could be empty.

Definition at line 3079 of file evoga.cpp.

References Evoga::exp.

int * getGenes ( int ind )

Return a pointer to the genome of one individual of the current population.

Parameters

ind	The id of the individual

Definition at line 1008 of file evoga.cpp.

References Evoga::genome.

Referenced by Evoga::evolveGenerational(), Evoga::evolveSteadyState(), Evoga::getGenesForIndividual(), and EvaluatorThreadForEvoga::setGenotype().

int * getGenesForIndividual ( unsigned int id )

virtual

Returns the array of genes for the given individual.

Parameters

ind	the individual for whom genes are requested

Returns: the array of genes for the given individual

Definition at line 3135 of file evoga.cpp.

References Evoga::getGenes().

Referenced by Evoga::evolveSpecializerSteadyState(), and Evoga::evolveSpecializerSteadyState2().

void getGenome	(	int	frombestgenome,
		int	togenome,
		int	mut
	)

Copy a genome stored in the bestgenome matrix into the genome of the current population Apply mutation during the copy.

Parameters

frombestgenome	The id of the genome in the best genome matrix
togenome	The id of the individual that should receive the genome
mut	A 0/1 flag that specify whether mutation should be applied or not

Definition at line 440 of file evoga.cpp.

References Evoga::bestgenome, Evonet::DEFAULT_VALUE, Evoga::genome, Evoga::glen, Evoga::mutate(), Evoga::mutation, and Evoga::mutations.

Referenced by Evoga::mreproduce(), and Evoga::reproduce().

void getLastFStat	(	double &	min,
		double &	max,
		double &	average
	)

return the last value of min, max and average fitness

Parameters

min	in this parameter will be returned the minimum fitness
max	in this parameter will be returned the maximum fitness
average	in this parameter will be returned the average fitness

Definition at line 853 of file evoga.cpp.

References Evoga::fmin.

double getNoise	(	double	minn,
		double	maxn
	)

Unused function (to be removed)

Definition at line 388 of file evoga.cpp.

References Evoga::drand().

unsigned int getNumOfGenerations ( )

virtual

Returns the number of generations to do.

Returns: the number of generations

Definition at line 3106 of file evoga.cpp.

References Evoga::nogenerations.

unsigned int getNumReplications ( )

virtual

Returns the number of replications.

Returns: the number of replications

Definition at line 3101 of file evoga.cpp.

References Evoga::nreplications.

Referenced by EvoRobotExperiment::doAllTrialsForIndividual().

void getPheParametersAndMutationsFromEvonet ( )

transfer .phe info inside GA

Warning: this function assume that the EvoRotobEvaluator has a resource named "evonet" returning a pointer to an Evonet object; it this constraint is not satisfied an exception will be raised

Definition at line 1026 of file evoga.cpp.

References Evonet::copyPheParameters(), Evonet::freeParameters(), Evonet::getMutations(), Evonet::pheFileLoaded(), Evoga::setInitialPopulation(), and Evoga::setMutations().

Referenced by Evoga::evolveGenerational(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), and Evoga::xnes().

unsigned int getStartingSeed ( )

virtual

Returns the starting seed.

Returns: the starting seed

Definition at line 3091 of file evoga.cpp.

References Evoga::seed.

Referenced by Evoga::evolveGenerational(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), and Evoga::xnes().

bool isEnabledStepByStep ( )

return true is the step-by-step modality is enabled, false otherwise

Definition at line 3066 of file evoga.cpp.

References Evoga::isStepByStep.

bool isStopped ( )

return true if the evolution process has been stopped with stop()

This method handle also the stopping process of the evolution. In fact, it return true if the evolution process has been stopped with stop() This function return true only between the calls to stop() and to resetStop() methods:

stop(); commitStep(); // <– it will return true resetStop(); commitStep(); // <– it will return false

Note: resetStop() is not called automatically by the Evoga after the exit for a stop, but it's called by the EvoRobotComponent after the execution of action 'stop'; If you want to use the Evoga in your custom Component remember to call resetStop()

Definition at line 3050 of file evoga.cpp.

References Evoga::stopEvolution.

Referenced by EvoRobotExperiment::doAllTrialsForIndividual(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSteadyState(), EvolveOperation::run(), TestOperation::run(), and Evoga::xnes().

int loadallg	(	int	gen,
		const char *	filew
	)

Load the genome of the population from a file.

Parameters

gen	The generation number used to create the GxS?.gen file name. If gen=0 the file name should be passed explicitly
ind	The filename from which the genome should be load. When gen>0 this parameter is ignored

Definition at line 872 of file evoga.cpp.

References Logger::error(), Evoga::genome, Logger::info(), Evoga::loadedIndividuals, Evoga::loadgenotype(), and Evoga::seed.

Referenced by Evoga::evolveGenerational(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), Evoga::loadGenotypes(), and Evoga::xnes().

void loadallTeams	(	int	gen,
		const char *	filew,
		QVector< QVector< int > > &	teams
	)

Load the teams of the population from a file.

Parameters

gen	The generation number used to create the GxS?.composed.gen file name. If gen=0 the file name should be passed explicitly
ind	The filename from which the teams should be load. When gen>0 this parameter is ignored

Definition at line 907 of file evoga.cpp.

References Logger::error(), Logger::info(), Evoga::numModules, and Evoga::seed.

Referenced by Evoga::evolveSpecializerSteadyState2().

void loadgenotype	(	FILE *	fp,
		int	ind
	)

Load the genome of one individual in a text file.

Parameters

*fp	The pointer to .gen file
ind	The id of the individual

Definition at line 859 of file evoga.cpp.

References Evoga::genome, and Evoga::glen.

Referenced by Evoga::loadallg().

unsigned int loadGenotypes ( QString filename )

virtual

Loads genotypes from the given file.

Parameters

filename the name of the file to load

Returns: the number of individuals that have been loaded, 0 in case of errors

Definition at line 3118 of file evoga.cpp.

References Evoga::evolutionType, and Evoga::loadallg().

Referenced by TestIndividual::runTest(), and TestIndividual::setPopulationToTest().

int loadStatistics ( char * filename )

Load the fitness statistics from a .fit file Return the number of loaded individuals (0 if the file does not exists)

Parameters

*filename The filename

Definition at line 954 of file evoga.cpp.

References farsa::max(), farsa::min(), and Evoga::statfit.

int mrand ( int i )

return a random integer generated with an uniform distribution in the range [0, i-1]

Parameters

i	The maximum value of the integer to be generated

Definition at line 308 of file evoga.cpp.

Referenced by Evoga::randomizePop(), and Evoga::setInitialPopulation().

void mreproduce ( )

Identify the best individuals and copy their genotypes into the bestgenome Matrix It also save the best genotypes in the Bx.gen files Assume that the best individuals have the lowest fitness (minimization) This function is not used and it is to be removed.

Definition at line 617 of file evoga.cpp.

References Evoga::cgen, Evoga::computeFStat(), Evoga::currentSeed, Evoga::elitism, Logger::error(), Evoga::getGenome(), Evoga::noffspring, Evoga::nogenerations, Evoga::nreproducing, Evoga::popSize, Evoga::putGenome(), Evoga::saveagenotype(), Evoga::savebest, Evoga::saveFStat(), and Evoga::tfitness.

int mutate	(	int	w,
		double	mut
	)

Mutate one gene Since genes are store as integer, this function first trasform them into 8 bits and then mutate (i.e.

flip) each bit with a certain probability

Parameters

w	The integer storing the gene value
mut	The mutation probability (i.e. the probability that each bit of the gene is flipped)

Definition at line 399 of file evoga.cpp.

References Evoga::drand().

Referenced by Evoga::copyGenes(), and Evoga::getGenome().

unsigned int numLoadedGenotypes ( ) const

virtual

Returns number of loaded genotypes.

Returns: the number of individuals that have been loaded

Definition at line 3130 of file evoga.cpp.

References Evoga::loadedIndividuals.

void postConfigureInitialization ( )

virtual

This function is called after all linked objects have been configured.

Reimplemented from ParameterSettable.

Definition at line 2938 of file evoga.cpp.

References Evoga::bestgenome, Evoga::cgen, Evonet::DEFAULT_VALUE, Evoga::evolutionType, Evoga::exp, Evoga::genome, EvoRobotExperiment::getGenomeLength(), Evoga::glen, Logger::info(), Evoga::MAXINDIVIDUALS, Evoga::mutations, Evoga::noffspring, Evoga::nogenerations, Evoga::nreproducing, Evoga::ntfitness, Evoga::numModules, Evoga::popSize, ConcurrentResourcesUser::shareResourcesWith(), Evoga::statfit, Evoga::terror, Evoga::tfitness, ConcurrentResourcesUser::usableResources(), Evoga::xnesCombination, and Evoga::xnesCombinationType.

void printBest ( )

Print the fitness of the best individuals of the current population.

Definition at line 695 of file evoga.cpp.

References Evoga::bestgenome, Evoga::glen, and Logger::info().

void printPop ( )

Print the fitness of the individuals of the current population.

Definition at line 684 of file evoga.cpp.

References Evoga::genome, Evoga::glen, Logger::info(), Evoga::popSize, and Evoga::tfitness.

void putGenome	(	int	fromgenome,
		int	tobestgenome
	)

Copy the genome of one individual to the bestgenome matrix in a specific position.

Parameters

fromgenome	The id of the individual genome to be copies
tobestgenome	The position in which the genome should be copied

Definition at line 429 of file evoga.cpp.

References Evoga::bestgenome, Logger::error(), Evoga::genome, Evoga::glen, and Evoga::nreproducing.

Referenced by Evoga::mreproduce(), and Evoga::reproduce().

void randomizePop ( )

Randomize the genome of the population.

Definition at line 977 of file evoga.cpp.

References Evoga::genome, Evoga::glen, and Evoga::mrand().

Referenced by Evoga::evolveGenerational(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), and Evoga::evolveSteadyState().

void recoveredInterruptedEvolution ( QString statfile )

signal

emitted when an interrupted evolution has been recovered and it's going to start from there

Parameters

statFile is the filename from which the evolution has been recovered

Referenced by Evoga::evolveGenerational(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), and Evoga::xnes().

void reproduce ( )

Identify the best individuals and copy their genotypes into the bestgenome Matrix It also save the best genotypes in the Bx.gen files.

Definition at line 471 of file evoga.cpp.

References Evoga::cgen, Evoga::computeFStat(), Evoga::currentSeed, Evoga::elitism, Logger::error(), Evoga::getGenome(), Evoga::noffspring, Evoga::nogenerations, Evoga::nreproducing, Evoga::popSize, Evoga::putGenome(), Evoga::saveagenotype(), Evoga::savebest, Evoga::saveFStat(), and Evoga::tfitness.

Referenced by Evoga::evolveGenerational().

void resetGenerationCounter ( )

Reset the generation counter to 0.

Definition at line 1021 of file evoga.cpp.

References Evoga::cgen.

Referenced by Evoga::evolveGenerational(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), and Evoga::xnes().

void resetStop ( )

reset the stopped status to false

Definition at line 3054 of file evoga.cpp.

References Evoga::stopEvolution.

Referenced by EvoRobotComponent::evolve(), EvolveOperation::run(), TestOperation::run(), and EvoRobotComponent::runTest().

QString retentionsFilename ( unsigned int seed )

virtual

Returns the name of the file with statistics (retentions) for the given seed.

Parameters

seed	the seed from which the filename should be returned

Returns: the name of the file with statistics (retentions) for the given seed

Definition at line 3175 of file evoga.cpp.

int rouletteWheel ( QVector< double > candidates )

perform a roulette wheel and return the winner's index

Parameters

candidates A vector of Fitness and Id's

Definition at line 3829 of file evoga.cpp.

Referenced by Evoga::evolveSpecializerSteadyState2().

void save	(	ConfigurationParameters &	params,
		QString	prefix
	)

virtual

Save the actual status of parameters into the ConfigurationParameters object passed.

This is not implemented, a call to this function will cause an abort

Parameters

params	the configuration parameters object on which save actual parameters
prefix	the prefix to use to access the object configuration parameters.

Implements ParameterSettable.

Definition at line 2880 of file evoga.cpp.

References Logger::error().

Referenced by EvoRobotComponent::save().

void saveagenotype	(	FILE *	fp,
		int	ind
	)

Save the genome of one individual in a text file.

Parameters

*fp	The pointer to .gen file
ind	The id of the individual

Definition at line 763 of file evoga.cpp.

References Evoga::genome, and Evoga::glen.

Referenced by Evoga::mreproduce(), Evoga::reproduce(), Evoga::saveallg(), Evoga::saveBestInd(), and Evoga::saveBestTeam().

void saveallg ( )

Save the genome of the current population in a G?S?.gen file.

Definition at line 773 of file evoga.cpp.

References Evoga::cgen, Evoga::currentSeed, Logger::error(), Evoga::popSize, and Evoga::saveagenotype().

Referenced by Evoga::evolveGenerational(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), and Evoga::evolveSteadyState().

void saveallgComposed ( QVector< QVector< int > > composedGen )

Save the composed genome of the current population in a G?S?.composed.gen file.

Definition at line 792 of file evoga.cpp.

References Evoga::cgen, Evoga::currentSeed, Logger::error(), and Evoga::numModules.

Referenced by Evoga::evolveSpecializerSteadyState2().

void saveBestInd ( )

Append the genome of the best individual of the current population to the BdSd.gen file.

Definition at line 537 of file evoga.cpp.

References Evoga::cgen, Evoga::currentSeed, Logger::error(), Evoga::ntfitness, Evoga::popSize, Evoga::saveagenotype(), and Evoga::tfitness.

Referenced by Evoga::evolveSteadyState().

void saveBestTeam	(	QVector< QVector< int > >	teams,
		QVector< double >	fitness
	)

Append the best team of the current population to the BdSd.composed.gen file.

Parameters

teams	Vector with the selected teams
fitness	Vector with the fitness of each team

Definition at line 577 of file evoga.cpp.

References Evoga::cgen, Evoga::currentSeed, Logger::error(), farsa::max(), Evoga::numModules, and Evoga::saveagenotype().

Referenced by Evoga::evolveSpecializerSteadyState2().

void saveFStat ( )

Save the average, minimal and maximal fitness by appending a line to the statSd.fit file.

Definition at line 815 of file evoga.cpp.

References Evoga::cgen, Evoga::currentSeed, Logger::error(), and Evoga::fmin.

Referenced by Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), Evoga::mreproduce(), and Evoga::reproduce().

void saveRStat ( QVector< int > subsVec )

Save the information regarding the offspring retention by appending a line to the retention statistics file (function retentions.

Parameters

subsVec A vector that has a value of -1 if the nth offspring (correspondent with the index of the vector) was not used, or the index of the parent that it tooks the place

Definition at line 832 of file evoga.cpp.

References Evoga::cgen, Evoga::currentSeed, and Logger::error().

Referenced by Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), and Evoga::evolveSteadyState().

void setCurrentMutationRate ( double mutation_rate )

virtual

Set the current mutation rate to use.

Parameters

mutation_rate the new mutation rate to use

Definition at line 3114 of file evoga.cpp.

References Evoga::mutation.

void setInitialPopulation ( int * ge )

Overwrite the genome of all individuals with a manually specify vector of parameters (loaded from a .phe file) This enable to manually fix some of the parameters The Evonet::DEFAULT_VALUE value is used to indicate the parameters are not fixed and that are replaced with randomly generated value.

Parameters

int*	Pointer to the vector of parameter to be used to overwrite genes

Definition at line 986 of file evoga.cpp.

References Evonet::DEFAULT_VALUE, Evoga::genome, Evoga::glen, and Evoga::mrand().

Referenced by Evoga::getPheParametersAndMutationsFromEvonet().

void setMutations ( float * mut )

Set the mutation rate of each parameter.

Parameters

float* Pointer to the vector of mutation rate to be used

Definition at line 1001 of file evoga.cpp.

References Evoga::glen, and Evoga::mutations.

Referenced by Evoga::getPheParametersAndMutationsFromEvonet().

void setSeed ( int s )

Initialize the random number generator.

Parameters

s	The seed use dto initialize the random number generator

Definition at line 375 of file evoga.cpp.

References Evoga::currentSeed, farsa::globalRNG, and RandomGenerator::setSeed().

Referenced by Evoga::evolveGenerational(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), TestRandom::runTest(), TestIndividual::runTest(), TestIndividual::setPopulationToTest(), and Evoga::xnes().

void startingReplication ( int replication )

signal

emitted when a replication is going to start

Parameters

replication is the number of the replication that it's going to start

Referenced by Evoga::evolveGenerational(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), and Evoga::xnes().

QString statisticsFilename ( unsigned int seed )

virtual

Returns the name of the file with statistics (fitness) for the given seed.

Parameters

seed	the seed from which the filename should be returned

Returns: the name of the file with statistics (fitness) for the given seed

Definition at line 3145 of file evoga.cpp.

void stop ( )

stop the running evolution process as soon as possible

Note: this method return immediately, but the evolution process may take some time before to quit depending on how many processing time last a step of the evolution process

Definition at line 3035 of file evoga.cpp.

References Evoga::stopEvolution, and Evoga::waitForNextStep.

Referenced by EvolveOperation::stop(), and TestOperation::stop().

void updateGenomeFromEvonet ( int ind )

update the genome of the individual to match the current weights of Evonet

Parameters

ind	the id of the individual to update

Definition at line 1050 of file evoga.cpp.

References Evoga::genome, Evonet::getFreeParameter(), Evonet::getWrange(), and Evoga::glen.

void xnes ( )

Main function of the xNES Algorithm (exponential Natural Evolution Strategies) The size of the population is set to 1 (i.e.

there is only an individual). The individual is allowed to generate a number of offsprings (noffspring parameter) equal to L = 4 + 3 * log(glen), where <glen> is the size of genome. Every generation a new individual is obtained by calculating the direction of the expected fitness natural gradient and applying the update.

Definition at line 1299 of file evoga.cpp.

Referenced by Evoga::evolveAllReplicas().

Member Data Documentation

bool averageIndividualFitnessOverGenerations

protected

Whether to average an individual fitness with its previous one or not.

The steady-state genetic algorithm original version keeps track of an individual fitness to try to reduce the effect of lucky trials. To do this the fitness obtained in generation n, f(n) is averaged with the stored fitness s(n) = 0.5 * (f(n-1) + s(n-1)). The initial condition is the fitness at the generation when the individual was first evaluated. This however causes some problems with incremental fitnesses, because if at generation i we add a new fitness component, all individuals that had a stored fitness have their fitness averaged with the old one, while new children don't

Definition at line 782 of file evoga.h.

Referenced by Evoga::configure(), Evoga::evolveSteadyState(), and Evoga::xnes().

bool backPropOffspringFitnessIncrease

protected

Flag whether to increase the fitness of the backpropagation offspring.

Definition at line 809 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::xnes().

float backPropOffspringFitnessIncreasePercentage

protected

Percentage of increase of the fitness of the backpropagation offspring.

Definition at line 811 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::xnes().

int backPropOffspringUtilityRank

protected

The utility rank of the backpropagation offspring in the second type of combination with xNES.

Definition at line 807 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::xnes().

Population bestgenome

protected

The matrix that contains a copy of the genome of the best individuals.

Definition at line 708 of file evoga.h.

Referenced by Evoga::configure(), Evoga::getBestGenes(), Evoga::getGenome(), Evoga::postConfigureInitialization(), Evoga::printBest(), and Evoga::putGenome().

int ccycle

protected

The current cycle.

Definition at line 755 of file evoga.h.

int cgen

protected

current generation

Definition at line 745 of file evoga.h.

Referenced by Evoga::computeFStat(), Evoga::computeFStat2(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), Evoga::getCurrentGeneration(), Evoga::mreproduce(), Evoga::postConfigureInitialization(), Evoga::reproduce(), Evoga::resetGenerationCounter(), Evoga::saveallg(), Evoga::saveallgComposed(), Evoga::saveBestInd(), Evoga::saveBestTeam(), Evoga::saveFStat(), Evoga::saveRStat(), and Evoga::xnes().

double crossRate

protected

The probability that a crossover will occur in an offspring team – specializerSteadyState.

Definition at line 834 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::evolveSpecializerSteadyState2().

int currentSeed

protected

The seed of the current generation (used for example to generate the name of the G?S?.gen files)

Definition at line 733 of file evoga.h.

Referenced by Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), Evoga::getCurrentSeed(), Evoga::mreproduce(), Evoga::reproduce(), Evoga::saveallg(), Evoga::saveallgComposed(), Evoga::saveBestInd(), Evoga::saveBestTeam(), Evoga::saveFStat(), Evoga::saveRStat(), Evoga::setSeed(), and Evoga::xnes().

bool debugPrintInfoToFile

protected

Flags whether to print debug information about the xNES algorithm to file.

Definition at line 819 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::xnes().

bool dissociateCovMatrix

protected

Flags whether to dissociate back-propagation effect on the xNES covariance matrix update.

Definition at line 823 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::xnes().

bool dissociateInd

protected

Flags whether to dissociate back-propagation effect on the xNES individual update.

Definition at line 821 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::xnes().

bool elitism

protected

if the Evoga will use elitism or not

Definition at line 604 of file evoga.h.

Referenced by Evoga::configure(), Evoga::mreproduce(), and Evoga::reproduce().

QString evolutionType

protected

specify the type of the evolution process to execute This string can only assume two values at the moment: 'steadyState' or 'generational' or 'xnes'

Definition at line 725 of file evoga.h.

Referenced by Evoga::configure(), Evoga::evolveAllReplicas(), Evoga::loadGenotypes(), and Evoga::postConfigureInitialization().

EvoRobotExperiment* exp

protected

the EvoRobotExperiment

Definition at line 598 of file evoga.h.

Referenced by Evoga::configure(), Evoga::evolveGenerational(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), Evoga::getEvoRobotExperiment(), Evoga::getEvoRobotExperimentPool(), Evoga::postConfigureInitialization(), Evoga::xnes(), and Evoga::~Evoga().

double fbest

protected

fitness best

Definition at line 751 of file evoga.h.

Referenced by Evoga::computeFStat(), Evoga::computeFStat2(), Evoga::evolveGenerational(), Evoga::evolveSteadyState(), and Evoga::xnes().

int fbestgen

protected

fitness best generation (maximum)

Definition at line 753 of file evoga.h.

Referenced by Evoga::computeFStat(), and Evoga::computeFStat2().

double fmin

protected

fitness statistics (minimum, maximum, and average fitness)

Definition at line 749 of file evoga.h.

Referenced by Evoga::computeFStat(), Evoga::computeFStat2(), Evoga::evolveGenerational(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), Evoga::getLastFStat(), Evoga::saveFStat(), and Evoga::xnes().

double gaussianMean

protected

Mean of the gaussian distribution.

Definition at line 791 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::xnes().

double gaussianStdDev

protected

Standard deviation of the gaussian distribution.

Definition at line 793 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::xnes().

Population genome

protected

The matrix that contain the genome of the corrent population.

Definition at line 706 of file evoga.h.

Referenced by Evoga::configure(), Evoga::copyGenes(), Evoga::evolveGenerational(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), Evoga::getGenes(), Evoga::getGenome(), Evoga::loadallg(), Evoga::loadgenotype(), Evoga::postConfigureInitialization(), Evoga::printPop(), Evoga::putGenome(), Evoga::randomizePop(), Evoga::saveagenotype(), Evoga::setInitialPopulation(), and Evoga::updateGenomeFromEvonet().

int glen

protected

genome lenght (number of free parameters)

Definition at line 602 of file evoga.h.

Referenced by Evoga::copyGenes(), Evoga::getGenome(), Evoga::loadgenotype(), Evoga::postConfigureInitialization(), Evoga::printBest(), Evoga::printPop(), Evoga::putGenome(), Evoga::randomizePop(), Evoga::saveagenotype(), Evoga::setInitialPopulation(), Evoga::setMutations(), Evoga::updateGenomeFromEvonet(), and Evoga::xnes().

double initial_mutation

protected

The initial mutation rate setted when steadyState algorithm is used.

Definition at line 741 of file evoga.h.

Referenced by Evoga::configure(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), and Evoga::evolveSteadyState().

bool isStepByStep

protected

if step-by-step modality is enabled or not

Definition at line 759 of file evoga.h.

Referenced by Evoga::commitStep(), Evoga::enableStepByStep(), and Evoga::isEnabledStepByStep().

double limitationFactor

protected

The limitation factor that will multiply the offsprings' fitness.

Definition at line 854 of file evoga.h.

Referenced by Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), and Evoga::evolveSteadyState().

bool limitRetention

protected

Wheather the retention should be limited or not.

Definition at line 831 of file evoga.h.

Referenced by Evoga::configure(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), and Evoga::evolveSteadyState().

int loadedIndividuals

protected

The number of individual genome loaded from a .gen file into the genome matrix (-1 when none has been loaded)

Definition at line 712 of file evoga.h.

Referenced by Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::loadallg(), and Evoga::numLoadedGenotypes().

const int MAXINDIVIDUALS = 1000

static

constant defining the maximimum number of individuals that Evoga can manage

Definition at line 73 of file evoga.h.

Referenced by Evoga::postConfigureInitialization().

bool minimization

protected

Flags whether the fitness function is set to solve a minimization problem.

Definition at line 817 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::xnes().

double modulesMutationRate

protected

The probability that a module will be mutated on a team – specializerSteadyState.

Definition at line 837 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::evolveSpecializerSteadyState2().

bool mutateOnlyRelatives

protected

Wheater a module should be replace by its own offspring or by any offspring – specializerSteadyState.

Definition at line 840 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::evolveSpecializerSteadyState2().

double mutation

protected

The mutation rate can vary from 0 to 1 continuosly to express probability in the range [0, 100%].

Definition at line 735 of file evoga.h.

Referenced by Evoga::configure(), Evoga::copyGenes(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), Evoga::getCurrentMutationRate(), Evoga::getGenome(), and Evoga::setCurrentMutationRate().

double mutationdecay

protected

The amount of reduction of the mutation generations during the first generations until it reaches the specified mutation rate.

Definition at line 739 of file evoga.h.

Referenced by Evoga::configure(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), and Evoga::evolveSteadyState().

double mutationLearningRate

protected

The mutation learning rate used to generate offspring from backprop array.

Definition at line 801 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::xnes().

double mutationRange

protected

The mutation range used in XNES algorithm to initialize the individual.

Definition at line 785 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::xnes().

float* mutations

protected

vector of parameter-specific mutations

Definition at line 743 of file evoga.h.

Referenced by Evoga::copyGenes(), Evoga::getGenome(), Evoga::postConfigureInitialization(), Evoga::setMutations(), and Evoga::~Evoga().

QMutex mutexStepByStep

protected

the mutex used for controlling the step-by-step modality

Definition at line 761 of file evoga.h.

Referenced by Evoga::commitStep().

int noffspring

protected

number of sons

Definition at line 608 of file evoga.h.

Referenced by Evoga::configure(), Evoga::evolveSpecializerSteadyState2(), Evoga::mreproduce(), Evoga::postConfigureInitialization(), and Evoga::reproduce().

int nogenerations

protected

The number of generations specified with the ngenerations parameter.

Definition at line 727 of file evoga.h.

Referenced by Evoga::configure(), Evoga::evolveGenerational(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), Evoga::getNumOfGenerations(), Evoga::mreproduce(), Evoga::postConfigureInitialization(), Evoga::reproduce(), Evoga::xnes(), and Evoga::~Evoga().

int nreplications

protected

The number of replications specified with the corresponding parameter.

Definition at line 729 of file evoga.h.

Referenced by Evoga::configure(), Evoga::evolveGenerational(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), Evoga::getNumReplications(), and Evoga::xnes().

int nreproducing

protected

number of individuals allowed to reproduce

Definition at line 606 of file evoga.h.

Referenced by Evoga::configure(), Evoga::mreproduce(), Evoga::postConfigureInitialization(), Evoga::putGenome(), and Evoga::reproduce().

double* ntfitness

protected

A pointer to a vector used to store the total number of trials in which an unchanged individuals have been evaluated.

Definition at line 716 of file evoga.h.

Referenced by Evoga::computeFStat2(), Evoga::evolveSteadyState(), Evoga::postConfigureInitialization(), Evoga::saveBestInd(), Evoga::xnes(), and Evoga::~Evoga().

int numModules

The number of modules that a genotype should use.

Definition at line 582 of file evoga.h.

Referenced by Evoga::configure(), Evoga::evolveAllReplicas(), Evoga::evolveSpecializerSteadyState2(), Evoga::loadallTeams(), Evoga::postConfigureInitialization(), Evoga::saveallgComposed(), and Evoga::saveBestTeam().

int numStartInd

protected

Number of possible individuals from which finding out the starting individual of XNES.

Definition at line 799 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::xnes().

unsigned int numThreads

protected

The number of concurrent threads to use.

Definition at line 765 of file evoga.h.

Referenced by Evoga::configure(), Evoga::doNotUseMultipleThreads(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), and Evoga::xnes().

double offspringMutRange

protected

The mutation range used in XNES algorithm to generate the offspring.

Definition at line 787 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::xnes().

double offspringStdDev

protected

Standard deviation to generate offspring.

Definition at line 795 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::xnes().

double overwriteRate

protected

The probability that a module will be overwritten by another one – specializerSteadyState.

Definition at line 849 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::evolveSpecializerSteadyState2().

int pheGen

protected

How often (in terms of number of generations) the best phenotype must be saved.

Definition at line 813 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::xnes().

int popSize

protected

population size

Definition at line 600 of file evoga.h.

Referenced by Evoga::computeFStat(), Evoga::computeFStat2(), Evoga::evolveGenerational(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), Evoga::mreproduce(), Evoga::postConfigureInitialization(), Evoga::printPop(), Evoga::reproduce(), Evoga::saveallg(), and Evoga::saveBestInd().

double rankBasedProb

protected

The probability that the individuals with the highest fitness will be selected.

Definition at line 843 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::evolveSpecializerSteadyState2().

int savebest

protected

save best savebest parents by default equals 1

Definition at line 747 of file evoga.h.

Referenced by Evoga::configure(), Evoga::mreproduce(), and Evoga::reproduce().

ConfigurationParameters savedConfigurationParameters

protected

A copy of the ConfigurationParameters object that was passed to our configure method.

We need this to create other instances of the experiment

Definition at line 862 of file evoga.h.

Referenced by Evoga::configure(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), and Evoga::xnes().

QString savedExperimentPrefix

protected

A copy of the prefix for experiment parameters.

We need this to create other instances of the experiment

Definition at line 869 of file evoga.h.

Referenced by Evoga::configure(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), and Evoga::xnes().

int savePopulationEachNGenerations

protected

How often (i.e. how many generations) we want to same the population genome in a .gen file.

Definition at line 767 of file evoga.h.

Referenced by Evoga::configure(), Evoga::evolveGenerational(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::evolveSteadyState(), and Evoga::xnes().

bool saveRetStat

protected

Whether to save retentions statistics or not.

Definition at line 828 of file evoga.h.

Referenced by Evoga::configure(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), and Evoga::evolveSteadyState().

int seed

protected

The number used to initialized the seed of the first replication (successive replication use incremented numbers)

Definition at line 731 of file evoga.h.

Referenced by Evoga::configure(), Evoga::getStartingSeed(), Evoga::loadallg(), and Evoga::loadallTeams().

QString selectionType

protected

The type of selection that will be used to define which individuals will survive.

Definition at line 846 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::evolveSpecializerSteadyState2().

bool specialUtilityRanking

protected

Flags whether to use a special version to compute utility ranking.

Definition at line 825 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::xnes().

bool standardNes

protected

Flags whether the standard xNES algorithm must be used (i.e. the parameters are set according to the paper)

Definition at line 815 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::xnes().

double** statfit

protected

A matrix that store the statistics (average, min, and max fitness) for all generations.

Definition at line 718 of file evoga.h.

Referenced by Evoga::computeFStat(), Evoga::computeFStat2(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), Evoga::loadStatistics(), Evoga::postConfigureInitialization(), and Evoga::~Evoga().

bool stopEvolution

protected

Flag used to request to end the evolutionary process.

Definition at line 757 of file evoga.h.

Referenced by Evoga::commitStep(), Evoga::evolveAllReplicas(), Evoga::isStopped(), Evoga::resetStop(), and Evoga::stop().

double targetRetentionRate

protected

The target retention rate.

Definition at line 852 of file evoga.h.

Referenced by Evoga::configure(), Evoga::evolveSpecializerSteadyState(), Evoga::evolveSpecializerSteadyState2(), and Evoga::evolveSteadyState().

double* terror

protected

A pointer to a vector used to store the sum of the errors obtained during different evaluations of an unmodified individual.

Definition at line 720 of file evoga.h.

Referenced by Evoga::postConfigureInitialization(), Evoga::xnes(), and Evoga::~Evoga().

double* tfitness

protected

A pointer to a vector used to store the sum of the fitness obtained during different evaluations of an unmodified individual.

Definition at line 714 of file evoga.h.

Referenced by Evoga::computeFStat(), Evoga::computeFStat2(), Evoga::evolveGenerational(), Evoga::evolveSteadyState(), Evoga::mreproduce(), Evoga::postConfigureInitialization(), Evoga::printPop(), Evoga::reproduce(), Evoga::saveBestInd(), Evoga::xnes(), and Evoga::~Evoga().

bool useGaussian

protected

Flag to decide whether using gaussian distribution to generate offspring.

Definition at line 789 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::xnes().

bool variableStdDev

protected

Flags whether the standard deviation to generate offspring is constant or not.

Definition at line 797 of file evoga.h.

Referenced by Evoga::configure(), and Evoga::xnes().

QWaitCondition waitForNextStep

protected

the wait condition for waiting on step-by-step modality

Definition at line 763 of file evoga.h.

Referenced by Evoga::commitStep(), Evoga::doNextStep(), Evoga::enableStepByStep(), and Evoga::stop().

bool xnesCombination

protected

Flag to decide whether combining xnes with backpropagation algorithm.

Definition at line 803 of file evoga.h.

Referenced by Evoga::configure(), Evoga::postConfigureInitialization(), and Evoga::xnes().

int xnesCombinationType

protected

The type of combination between xnes and backpropagation algorithms.

Definition at line 805 of file evoga.h.

Referenced by Evoga::configure(), Evoga::postConfigureInitialization(), and Evoga::xnes().

The documentation for this class was generated from the following files:

experiments/evorobot/include/evoga.h
experiments/evorobot/src/evoga.cpp

Experiments - 1.4.5

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