Creates a multi-objective Benchmark from a set of given single objective functions. More...

#include <shark/ObjectiveFunctions/Benchmarks/MultiObjectiveBenchmark.h>

Inheritance diagram for shark::MultiObjectiveBenchmark< Objectives >:

Public Member Functions
	MultiObjectiveBenchmark (std::size_t numVariables=5)

std::string	name () const
	Name of the Benchmark. More...

bool	hasScalableDimensionality () const

void	setNumberOfVariables (std::size_t numberOfVariables)
	Adjusts the number of variables if the function is scalable. More...

std::size_t	numberOfObjectives () const

std::size_t	numberOfVariables () const
	Accesses the number of variables. More...

template<int N>
std::tuple_element< N, std::tuple< Objectives... > >::type &	get ()

template<int N>
std::tuple_element< N, std::tuple< Objectives... > >::type const &	get () const

void	init ()
	\ Initializes the functions as well as picks random rotations and translations More...

SearchPointType	proposeStartingPoint () const
	Proposes a starting point in the feasible search space of the function. More...

ResultType	eval (SearchPointType const &x) const
	Returns the vector (f_1(x),...,f_N(x)) of the N objectives in the benchmark for the current point. More...

ResultType	evalDerivative (SearchPointType const &x, FirstOrderDerivative &derivative) const
	Calculates function value as well as the the Jacobian( d/dxf_1(x),...,d/dx f_N(x)) of the N objectives in the benchmark for the current point. More...

Public Member Functions inherited from shark::AbstractObjectiveFunction< PointType, ResultT >
const Features &	features () const

virtual void	updateFeatures ()

bool	hasValue () const
	returns whether this function can calculate it's function value More...

bool	hasFirstDerivative () const
	returns whether this function can calculate the first derivative More...

bool	hasSecondDerivative () const
	returns whether this function can calculate the second derivative More...

bool	canProposeStartingPoint () const
	returns whether this function can propose a starting point. More...

bool	isConstrained () const
	returns whether this function can return More...

bool	hasConstraintHandler () const
	returns whether this function can return More...

bool	canProvideClosestFeasible () const
	Returns whether this function can calculate thee closest feasible to an infeasible point. More...

bool	isThreadSafe () const
	Returns true, when the function can be usd in parallel threads. More...

bool	isNoisy () const
	Returns true, when the function can be usd in parallel threads. More...

	AbstractObjectiveFunction ()
	Default ctor. More...

virtual	~AbstractObjectiveFunction ()
	Virtual destructor. More...

void	setRng (random::rng_type *rng)
	Sets the Rng used by the objective function. More...

virtual bool	hasScalableObjectives () const

virtual void	setNumberOfObjectives (std::size_t numberOfObjectives)
	Adjusts the number of objectives if the function is scalable. More...

std::size_t	evaluationCounter () const
	Accesses the evaluation counter of the function. More...

AbstractConstraintHandler< SearchPointType > const &	getConstraintHandler () const
	Returns the constraint handler of the function if it has one. More...

virtual bool	isFeasible (const SearchPointType &input) const
	Tests whether a point in SearchSpace is feasible, e.g., whether the constraints are fulfilled. More...

virtual void	closestFeasible (SearchPointType &input) const
	If supported, the supplied point is repaired such that it satisfies all of the function's constraints. More...

ResultType	operator() (SearchPointType const &input) const
	Evaluates the function. Useful together with STL-Algorithms like std::transform. More...

virtual ResultType	evalDerivative (SearchPointType const &input, SecondOrderDerivative &derivative) const
	Evaluates the objective function and calculates its gradient. More...

Public Member Functions inherited from shark::INameable
virtual	~INameable ()

Additional Inherited Members
Public Types inherited from shark::AbstractObjectiveFunction< PointType, ResultT >
enum	Feature { HAS_VALUE = 1, HAS_FIRST_DERIVATIVE = 2, HAS_SECOND_DERIVATIVE = 4, CAN_PROPOSE_STARTING_POINT = 8, IS_CONSTRAINED_FEATURE = 16, HAS_CONSTRAINT_HANDLER = 32, CAN_PROVIDE_CLOSEST_FEASIBLE = 64, IS_THREAD_SAFE = 128, IS_NOISY = 256 }
	List of features that are supported by an implementation. More...

typedef PointType	SearchPointType

typedef ResultT	ResultType

typedef boost::mpl::if_< std::is_arithmetic< ResultT >, SearchPointType, RealMatrix >::type	FirstOrderDerivative

typedef TypedFlags< Feature >	Features
	This statement declares the member m_features. See Core/Flags.h for details. More...

typedef TypedFeatureNotAvailableException< Feature >	FeatureNotAvailableException

Protected Member Functions inherited from shark::AbstractObjectiveFunction< PointType, ResultT >
void	announceConstraintHandler (AbstractConstraintHandler< SearchPointType > const *handler)
	helper function which is called to announce the presence of an constraint handler. More...

Protected Attributes inherited from shark::AbstractObjectiveFunction< PointType, ResultT >
Features	m_features

std::size_t	m_evaluationCounter
	Evaluation counter, default value: 0. More...

AbstractConstraintHandler< SearchPointType > const *	m_constraintHandler

random::rng_type *	mep_rng

Detailed Description

template<class ... Objectives>
class shark::MultiObjectiveBenchmark< Objectives >

Creates a multi-objective Benchmark from a set of given single objective functions.

A variadic template is used to generate a set of benchmarks. eg MultiObjectiveBenchmark<Sphere,Ellispoid,Rosenbrock> sets up a three-objective Benchmark.

A random rotation and translation is applied to each benchmark function, thus MultiObjectiveBenchmark<Sphere,Sphere> forms a non-degenerate front. the ith objective can be queried via the get member function.

The generated translations are approximately sampled from the unit ball and starting points are also drawn by the same distribution around a random optimum (assuming the optimum is at (0,0) of the untranslated function

Note that all objectives must have scalable dimensionality

Definition at line 70 of file MultiObjectiveBenchmark.h.

Constructor & Destructor Documentation

◆ MultiObjectiveBenchmark()

template<class ... Objectives>

shark::MultiObjectiveBenchmark< Objectives >::MultiObjectiveBenchmark ( std::size_t numVariables = 5 )

inline

Definition at line 72 of file MultiObjectiveBenchmark.h.

Member Function Documentation

◆ eval()

template<class ... Objectives>

ResultType shark::MultiObjectiveBenchmark< Objectives >::eval ( SearchPointType const & x ) const

inlinevirtual

Returns the vector (f_1(x),...,f_N(x)) of the N objectives in the benchmark for the current point.

Reimplemented from shark::AbstractObjectiveFunction< PointType, ResultT >.

Definition at line 148 of file MultiObjectiveBenchmark.h.

◆ evalDerivative()

template<class ... Objectives>

ResultType shark::MultiObjectiveBenchmark< Objectives >::evalDerivative	(	SearchPointType const &	x,
		FirstOrderDerivative &	derivative
	)		const

inlinevirtual

Calculates function value as well as the the Jacobian( d/dxf_1(x),...,d/dx f_N(x)) of the N objectives in the benchmark for the current point.

Reimplemented from shark::AbstractObjectiveFunction< PointType, ResultT >.

Definition at line 158 of file MultiObjectiveBenchmark.h.

◆ get() [1/2]

template<class ... Objectives>

template<int N>

std::tuple_element<N, std::tuple<Objectives...> >::type& shark::MultiObjectiveBenchmark< Objectives >::get ( )

inline

Definition at line 113 of file MultiObjectiveBenchmark.h.

◆ get() [2/2]

template<class ... Objectives>

template<int N>

std::tuple_element<N, std::tuple<Objectives...> >::type const& shark::MultiObjectiveBenchmark< Objectives >::get ( ) const

inline

Definition at line 117 of file MultiObjectiveBenchmark.h.

◆ hasScalableDimensionality()

template<class ... Objectives>

bool shark::MultiObjectiveBenchmark< Objectives >::hasScalableDimensionality ( ) const

inlinevirtual

Reimplemented from shark::AbstractObjectiveFunction< PointType, ResultT >.

Definition at line 93 of file MultiObjectiveBenchmark.h.

◆ init()

template<class ... Objectives>

void shark::MultiObjectiveBenchmark< Objectives >::init ( )

inlinevirtual

\ Initializes the functions as well as picks random rotations and translations

Reimplemented from shark::AbstractObjectiveFunction< PointType, ResultT >.

Definition at line 122 of file MultiObjectiveBenchmark.h.

References shark::random::gauss().

◆ name()

template<class ... Objectives>

std::string shark::MultiObjectiveBenchmark< Objectives >::name ( ) const

inlinevirtual

Name of the Benchmark.

The name has the form Objective1/Objective2/Objective3/.../ObjectiveN where ObjectiveK is the name of the k-th objective.

Reimplemented from shark::INameable.

Definition at line 88 of file MultiObjectiveBenchmark.h.

◆ numberOfObjectives()

template<class ... Objectives>

std::size_t shark::MultiObjectiveBenchmark< Objectives >::numberOfObjectives ( ) const

inlinevirtual

Reimplemented from shark::AbstractObjectiveFunction< PointType, ResultT >.

Definition at line 104 of file MultiObjectiveBenchmark.h.

◆ numberOfVariables()

template<class ... Objectives>

std::size_t shark::MultiObjectiveBenchmark< Objectives >::numberOfVariables ( ) const

inlinevirtual

Accesses the number of variables.

Implements shark::AbstractObjectiveFunction< PointType, ResultT >.

Definition at line 108 of file MultiObjectiveBenchmark.h.

◆ proposeStartingPoint()

template<class ... Objectives>

SearchPointType shark::MultiObjectiveBenchmark< Objectives >::proposeStartingPoint ( ) const

inlinevirtual

Proposes a starting point in the feasible search space of the function.

Returns: The generated starting point.

Exceptions

FeatureNotAvailableException in the default implementation and if a function does not support this feature.

Reimplemented from shark::AbstractObjectiveFunction< PointType, ResultT >.

Definition at line 137 of file MultiObjectiveBenchmark.h.

References shark::random::discrete(), and shark::random::gauss().

◆ setNumberOfVariables()

template<class ... Objectives>

void shark::MultiObjectiveBenchmark< Objectives >::setNumberOfVariables ( std::size_t numberOfVariables )

inlinevirtual

Adjusts the number of variables if the function is scalable.

Parameters

[in] numberOfVariables The new dimension.

Reimplemented from shark::AbstractObjectiveFunction< PointType, ResultT >.

Definition at line 97 of file MultiObjectiveBenchmark.h.

References SHARK_RUNTIME_CHECK.

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

include/shark/ObjectiveFunctions/Benchmarks/MultiObjectiveBenchmark.h

Public Member Functions

Additional Inherited Members

Detailed Description

template<class ... Objectives> class shark::MultiObjectiveBenchmark< Objectives >

Constructor & Destructor Documentation

◆ MultiObjectiveBenchmark()

Member Function Documentation

◆ eval()

◆ evalDerivative()

◆ get() [1/2]

◆ get() [2/2]

◆ hasScalableDimensionality()

◆ init()

◆ name()

◆ numberOfObjectives()

◆ numberOfVariables()

◆ proposeStartingPoint()

◆ setNumberOfVariables()

template<class ... Objectives>
class shark::MultiObjectiveBenchmark< Objectives >