Particle swarm optimization algorithm (see e.g. http://en.wikipedia.org/wiki/Particle_swarm_optimization). More...

#include <AlgParticleSwarmOptimization.h>

Inheritance diagram for ParticleSwarmOptimization:

Public Types
enum	InertiaWeightType { CONSTANT , TIME_VARIANT }

Public Member Functions
bool	advanceGeneration (StateP state, DemeP deme)
	Perform a single generation on a single deme.
bool	initialize (StateP state)
	Initialize the algorithm, read parameters from the system, do a sanity check.
void	registerParameters (StateP state)
	Register algorithm's parameters (if any).
Public Member Functions inherited from Algorithm
std::string	getName ()
	Get algorithm name. Each algorithm is uniquely identified with its name.
virtual bool	isParallel ()
	Is algorithm parallel (false by default for all algorithms not inheriting ParallelAlgorithm class).
bool	isImplicitParallel ()
	Is algorithm run in implicit parallel mode (in development, see tutorial).
virtual bool	initializePopulation (StateP)
	Evaluate initial population (called by State::run before evolution starts).
virtual void	read ()
virtual bool	advanceGeneration (StateP state)
	Perform one generation of the algorithm on the whole population.
void	evaluate (IndividualP ind)
	Helper function: evaluate an individual.
uint	mutate (const std::vector< IndividualP > &pool)
	Helper function: send a vector of individuals to mutation.
uint	mutate (const IndividualP victim)
	Helper function: send a single individual to mutation.
void	replaceWith (IndividualP oldInd, IndividualP newInd)
	Helper function: replace an individual in current deme.
void	replaceWith (uint oldIndId, IndividualP newInd)
	Helper function: replace an individual at given position in current deme.
void	registerParallelParameters (StateP state)
	used only in parallel ECF
bool	initializeParallel (StateP state)
	used only in parallel ECF
virtual bool	advanceGeneration (StateP state)
	Parallel ECF: Perform one generation of the algorithm.
virtual void	bcastTermination (StateP state)
	Parallel ECF: broadcast termination to worker processes.
void	registerParallelParameters (StateP state)
	Parallel ECF: Register parameters for implicit parallel algorithm version.
bool	initializeParallel (StateP state)
	Parallel ECF: Initialize implicit parallel algorithm.
void	initializeImplicit (StateP state)
	Parallel ECF: Initialize implicit parallel mode.
bool	implicitParallelOperate (StateP state)
	Parallel ECF: Worker processes in implicit parallel algorithm.
void	evaluate (IndividualP ind)
	Parallel ECF: evaluate an individual.
void	implicitEvaluate (IndividualP ind)
	Parallel ECF: implicitly evaluate an individual (store for later evaluation in implicit parallel version).
uint	mutate (const IndividualP victim)
	Parallel ECF: immediately mutate an individual.
uint	mutate (const std::vector< IndividualP > &pool)
	Parallel ECF: mutate a vector of individuals.
uint	implicitMutate (IndividualP ind)
	Parallel ECF: implicitly mutate an individual (store for later mutation in implicit parallel version).
void	replaceWith (IndividualP oldInd, IndividualP newInd)
	Parallel ECF: replace an individual in a deme.
void	replaceWith (uint oldIndId, IndividualP newInd)
	Parallel ECF: replace an individual at given position in a deme.
bool	mate (IndividualP p1, IndividualP p2, IndividualP child)
	Helper function: crossover two individuals.
IndividualP	copy (IndividualP source)
	Helper function: make a copy of an individual.
bool	removeFrom (IndividualP victim, std::vector< IndividualP > &pool)
	Helper function: remove victim from pool of individual pointers.
bool	isMember (IndividualP single, std::vector< IndividualP > &pool)
	Helper function: check if individual is in the pool.

Protected Attributes
SelectionOperatorP	selBestOp
int	m_maxIter
InertiaWeightType	m_weightType
double	m_weight
double	m_maxV
bool	areGenotypesAdded_
bool	bounded_
	constrained or not
double	lbound_
double	ubound_
Protected Attributes inherited from Algorithm
DemeP	activeDeme_
std::string	name_
	algorithm name
bool	bImplicitParallel_
	implicit parallel flag
std::vector< SelectionOperatorP >	selectionOp
	sel. operators used by algorithm
std::vector< IndividualP >	requests_
std::vector< IndividualP >	stored_
	individual vectors for implicit evaluation
std::vector< uint >	requestIds_
	individual indexes for implicit evaluation
std::vector< IndividualP >	demeCopy_
std::vector< IndividualP >	myJob_
	worker's individual vector
CommunicatorP	comm_
uint	jobSize_
uint	totalEvaluations_
uint	wastedEvaluations_
bool	bImplicitEvaluation_
	implicit evaluation flag
bool	bImplicitMutation_
	implicit mutation flag
bool	bSynchronized_
	is implicit paralelization synchronous
SelectionOperatorP	selBestOp
std::vector< IndividualP >	requestsMut_
std::vector< IndividualP >	receivedMut_
	individual vectors for implicit mutation
std::vector< uint >	requestMutIds_
	individual indexes for implicit mutation
IndividualP	currentBest_
std::vector< IndividualP >	storedInds_
std::vector< std::vector< IndividualP > >	sentInds_
	individuals sent for evaluation
std::vector< bool >	isConsistent_
	is individual (genotype-fitness pair) consistent

Additional Inherited Members
Public Attributes inherited from Algorithm
CrossoverP	crossover_
	sptr to container of crossover operators (set by the system)
MutationP	mutation_
	sptr to container of mutation operators (set by the system)
EvaluateOpP	evalOp_
	sptr to evaluation operator (set by the system)
StateP	state_
Protected Member Functions inherited from Algorithm
bool	registerParameter (StateP state, std::string name, voidP value, enum ECF::type T, std::string description="")
	Helper function: register a single parameter with the system.
voidP	getParameterValue (StateP state, std::string name)
	Helper function: get parameter value from the system.
void	storeIndividual (IndividualP)
	stores the individual (if it is consistent), resets consistency flag
void	storeGenotypes (std::vector< IndividualP > &)
	adds genotypes of individuals to 'sent' repository
void	setConsistency (IndividualP)
	denotes current individual as consistent
void	restoreIndividuals (std::vector< uint >)
	restores individuals whose fitness is received
void	restorePopulation ()
	restores inconsistent individuals to last consistent state

Detailed Description

Particle swarm optimization algorithm (see e.g. http://en.wikipedia.org/wiki/Particle_swarm_optimization).

PSO algorithm accepts only a single FloatingPoint genotype (vector of real values). Additionally, it adds the following genotypes for algorithm implementation: