Algorithm Namespace Reference

Contains interfaces, classes and datatypes that are used by implementations of genetic algorithms. More...

Classes
class	GaAlgorithmParams
	Interface for parameters of genetic algorithm. More...
class	GaAlgorithm
	Interface for genetic algorithms. More...
class	GaBaseAlgorithm
	This class implements control of algorithm's execution and its state. It also provides synchronization for multithreading control of algorithm. More...
class	GaStopCriteriaParams
	Interface for parameters of stop criteria operation. More...
class	GaStopCriteria
	This class is interface for stop criteria of genetic algorithm. More...
class	GaMultithreadingAlgorithmParams
	This class should be used (directly or by inheritance) by genetic algorithms which use multiple threads for parallel execution of work. More...
class	GaMultithreadingAlgorithm
	This class implements features to allow parallel execution of some operations of genetic algorithm. It runs multiple threads which execute work which can be done in parallel, one control thread which controls workers and executes all operations which must be executed sequentially. More...
Namespaces
namespace	SimpleAlgorithms
	Contains implementation of simple genetic algorithms.
namespace	StopCriterias
	Contains implementation of stop criterias used by genetic algorithms.
Typedefs
typedef GaOperationParametersPair < GaStopCriteria, GaStopCriteriaParams >	GaStopCriteriaPair
	GaStopCriteriaCatalogue type is instance of GaCatalogue template class and represents catalogue of stop criterias. Detailed description can be found in specification of GaCatalogue template class.
typedef GaCatalogue < GaStopCriteria >	GaStopCriteriaCatalogue
	GaStopCriteriaPair type is instance of GaOperationParametersPair template class and represents pair of stop criteria and its parameters. Detailed description can be found in specification of GaOperationParametersPair template class.
Enumerations
enum	GaAlgorithmThreadType { GATT_CONTROL = 0, GATT_WORK = 1 }
	This enumeration is used to identify type of thread which is used for execution by the genetic algorithm. More...
enum	GaAlgorithmState {   GAS_UNINITIALIZED = 0x1, GAS_USER_STOPED = 0x2, GAS_CRITERIA_STOPPED = 0x4, GAS_PAUSED = 0x8,   GAS_RUNNING = 0x10, GAS_NOT_RUNNING = 0xF, GAS_STOPPED = 0x6 }
	This enumeration defines states of an algorithm. More...

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Detailed Description

Contains interfaces, classes and datatypes that are used by implementations of genetic algorithms.

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Typedef Documentation

typedef GaCatalogue<GaStopCriteria> Algorithm::GaStopCriteriaCatalogue

GaStopCriteriaPair type is instance of GaOperationParametersPair template class and represents pair of stop criteria and its parameters. Detailed description can be found in specification of GaOperationParametersPair template class.

typedef GaOperationParametersPair<GaStopCriteria, GaStopCriteriaParams> Algorithm::GaStopCriteriaPair

GaStopCriteriaCatalogue type is instance of GaCatalogue template class and represents catalogue of stop criterias. Detailed description can be found in specification of GaCatalogue template class.

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Enumeration Type Documentation

enum Algorithm::GaAlgorithmState

This enumeration defines states of an algorithm.

Enumerator:

GAS_UNINITIALIZED	algorithm its populations and other control and data structures is not initialized.
GAS_USER_STOPED	algorithm execution is stopped by the user.
GAS_CRITERIA_STOPPED	algorithm reached given criteria and it is stopped.
GAS_PAUSED	temporary paused, but it can resume execution at any time.
GAS_RUNNING	algorithm is running.
GAS_NOT_RUNNING	used for testing of state of an algorithm and includes all states except running state.
GAS_STOPPED	used to test an algorithm, for one of two possible stopped states.

enum Algorithm::GaAlgorithmThreadType

This enumeration is used to identify type of thread which is used for execution by the genetic algorithm.

Enumerator:

GATT_CONTROL	represents control thread.
GATT_WORK	represents worker thread.