shark::IndicatorBasedRealCodedNSGAII< Indicator > Class Template Reference

Implements the NSGA-II. More...

#include <shark/Algorithms/DirectSearch/RealCodedNSGAII.h>

+ Inheritance diagram for shark::IndicatorBasedRealCodedNSGAII< Indicator >:

Public Member Functions

 IndicatorBasedRealCodedNSGAII ()
 Default c'tor. More...
 
std::string name () const
 returns the name of the object More...
 
double crossoverProbability () const
 Returns the probability that crossover is applied. More...
 
double & crossoverProbability ()
 Returns the probability that crossover is applied. More...
 
double nm () const
 
double & nm ()
 
double nc () const
 
double & nc ()
 
std::size_t mu () const
 
std::size_t & mu ()
 
template<typename Archive >
void serialize (Archive &archive, const unsigned int version)
 Stores/loads the algorithm's state. More...
 
void init (ObjectiveFunctionType &function, std::vector< SearchPointType > const &startingPoints)
 Initializes the algorithm for the supplied objective function. More...
 
void step (ObjectiveFunctionType const &function)
 Executes one iteration of the algorithm. More...
 
- Public Member Functions inherited from shark::AbstractMultiObjectiveOptimizer< RealVector >
virtual ~AbstractMultiObjectiveOptimizer ()
 Virtual empty d'tor. More...
 
virtual void init (ObjectiveFunctionType &function)
 Initializes the optimizer for the supplied objective function. More...
 
const SolutionTypesolution () const
 Accesses the current approximation of the Pareto-set and -front, respectively. More...
 
- Public Member Functions inherited from shark::AbstractOptimizer< RealVector, RealVector, std::vector< ResultSet< RealVector, RealVector > > >
const Featuresfeatures () const
 
virtual void updateFeatures ()
 
bool requiresValue () const
 
bool requiresFirstDerivative () const
 
bool requiresSecondDerivative () const
 
bool canSolveConstrained () const
 
bool requiresClosestFeasible () const
 
virtual ~AbstractOptimizer ()
 Empty virtual d'tor. More...
 
- Public Member Functions inherited from shark::INameable
virtual ~INameable ()
 
- Public Member Functions inherited from shark::ISerializable
virtual ~ISerializable ()
 Virtual d'tor. More...
 
virtual void read (InArchive &archive)
 Read the component from the supplied archive. More...
 
virtual void write (OutArchive &archive) const
 Write the component to the supplied archive. More...
 
void load (InArchive &archive, unsigned int version)
 Versioned loading of components, calls read(...). More...
 
void save (OutArchive &archive, unsigned int version) const
 Versioned storing of components, calls write(...). More...
 
 BOOST_SERIALIZATION_SPLIT_MEMBER ()
 

Additional Inherited Members

- Public Types inherited from shark::AbstractMultiObjectiveOptimizer< RealVector >
typedef super::SearchPointType SearchPointType
 
typedef super::SolutionType SolutionType
 
typedef super::ObjectiveFunctionType ObjectiveFunctionType
 
- Public Types inherited from shark::AbstractOptimizer< RealVector, RealVector, std::vector< ResultSet< RealVector, RealVector > > >
enum  Feature
 Models features that the optimizer requires from the objective function. More...
 
typedef RealVector SearchPointType
 
typedef RealVector ResultType
 
typedef std::vector< ResultSet< RealVector, RealVector > > SolutionType
 
typedef AbstractObjectiveFunction< RealVector, ResultTypeObjectiveFunctionType
 
typedef TypedFlags< FeatureFeatures
 
typedef TypedFeatureNotAvailableException< FeatureFeatureNotAvailableException
 
- Protected Member Functions inherited from shark::AbstractOptimizer< RealVector, RealVector, std::vector< ResultSet< RealVector, RealVector > > >
void checkFeatures (ObjectiveFunctionType const &objectiveFunction)
 Convenience function that checks whether the features of the supplied objective function match with the required features of the optimizer. More...
 
- Protected Attributes inherited from shark::AbstractMultiObjectiveOptimizer< RealVector >
SolutionType m_best
 The current Pareto-set/-front. More...
 
- Protected Attributes inherited from shark::AbstractOptimizer< RealVector, RealVector, std::vector< ResultSet< RealVector, RealVector > > >
Features m_features
 

Detailed Description

template<typename Indicator>
class shark::IndicatorBasedRealCodedNSGAII< Indicator >

Implements the NSGA-II.

Please see the following papers for further reference: Deb, Agrawal, Pratap and Meyarivan. A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOL. 6, NO. 2, APRIL 2002

Definition at line 60 of file RealCodedNSGAII.h.

Constructor & Destructor Documentation

Member Function Documentation

template<typename Indicator >
double shark::IndicatorBasedRealCodedNSGAII< Indicator >::crossoverProbability ( ) const
inline

Returns the probability that crossover is applied.

Definition at line 95 of file RealCodedNSGAII.h.

Referenced by shark::IndicatorBasedRealCodedNSGAII< Indicator >::IndicatorBasedRealCodedNSGAII().

template<typename Indicator >
double& shark::IndicatorBasedRealCodedNSGAII< Indicator >::crossoverProbability ( )
inline

Returns the probability that crossover is applied.

Definition at line 99 of file RealCodedNSGAII.h.

template<typename Indicator >
void shark::IndicatorBasedRealCodedNSGAII< Indicator >::init ( ObjectiveFunctionType function,
std::vector< SearchPointType > const &  startingPoints 
)
inlinevirtual

Initializes the algorithm for the supplied objective function.

Template Parameters
ObjectiveFunctionThe type of the objective function, needs to adhere to the concept of an AbstractObjectiveFunction.
Parameters
[in]functionThe objective function
[in]startingPointsStarting point to initialize the algorithm for.

Implements shark::AbstractMultiObjectiveOptimizer< RealVector >.

Definition at line 151 of file RealCodedNSGAII.h.

References shark::AbstractOptimizer< RealVector, RealVector, std::vector< ResultSet< RealVector, RealVector > > >::checkFeatures(), shark::PolynomialMutator::init(), shark::SimulatedBinaryCrossover< PointType >::init(), shark::AbstractMultiObjectiveOptimizer< RealVector >::m_best, and shark::IndicatorBasedRealCodedNSGAII< Indicator >::mu().

template<typename Indicator >
std::size_t& shark::IndicatorBasedRealCodedNSGAII< Indicator >::mu ( )
inline

Definition at line 120 of file RealCodedNSGAII.h.

template<typename Indicator >
std::string shark::IndicatorBasedRealCodedNSGAII< Indicator >::name ( ) const
inlinevirtual

returns the name of the object

Reimplemented from shark::INameable.

Definition at line 90 of file RealCodedNSGAII.h.

template<typename Indicator >
double shark::IndicatorBasedRealCodedNSGAII< Indicator >::nc ( ) const
inline
template<typename Indicator >
double& shark::IndicatorBasedRealCodedNSGAII< Indicator >::nc ( )
inline
template<typename Indicator >
double shark::IndicatorBasedRealCodedNSGAII< Indicator >::nm ( ) const
inline
template<typename Indicator >
double& shark::IndicatorBasedRealCodedNSGAII< Indicator >::nm ( )
inline

Definition at line 106 of file RealCodedNSGAII.h.

References shark::PolynomialMutator::m_nm.

template<typename Indicator >
template<typename Archive >
void shark::IndicatorBasedRealCodedNSGAII< Indicator >::serialize ( Archive &  archive,
const unsigned int  version 
)
inline

Stores/loads the algorithm's state.

Template Parameters
ArchiveThe type of the archive.
Parameters
[in,out]archiveThe archive to use for loading/storing.
[in]versionCurrently unused.

Definition at line 131 of file RealCodedNSGAII.h.

References shark::AbstractMultiObjectiveOptimizer< RealVector >::m_best.


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