S-metric selection evolutionary multiobjective optimisation algorithm (SMS-EMOA) More...

#include <sms_emoa.h>

Inheritance diagram for pagmo::algorithm::sms_emoa:

Public Member Functions
	sms_emoa (const sms_emoa &)
	Copy constructor. More...

	sms_emoa (int gen=100, int sel_m=2, double cr=0.95, double eta_c=10, double m=0.01, double eta_m=50)
	Constructor. More...

	sms_emoa (pagmo::util::hv_algorithm::base_ptr hv_algorithm, int gen=100, int sel_m=2, double cr=0.95, double eta_c=10, double m=0.01, double eta_m=50)
	Constructor. More...

base_ptr	clone () const
	Clone method.

pagmo::util::hv_algorithm::base_ptr	get_hv_algorithm () const
	Get the hypervolume algorithm used for the computation. More...

void	evolve (population &) const
	Evolve implementation. More...

std::string	get_name () const
	Algorithm name.

Public Member Functions inherited from pagmo::algorithm::base
	base ()
	Default constructor. More...

virtual	~base ()
	Trivial destructor. More...

std::string	human_readable () const
	Return human readable representation of the algorithm. More...

void	set_screen_output (const bool p)
	Setter-Getter for protected m_screen_output data. More...

bool	get_screen_output () const
	Gets screen output. More...

void	reset_rngs (const unsigned int) const
	Resets the seed of the internal rngs using a user-provided seed. More...

Protected Member Functions
std::string	human_readable_extra () const
	Extra human readable algorithm info. More...

Friends
class	boost::serialization::access

Additional Inherited Members
Protected Attributes inherited from pagmo::algorithm::base
bool	m_screen_output
	Indicates to the derived class whether to print stuff on screen.

rng_double	m_drng
	Random number generator for double-precision floating point values.

rng_uint32	m_urng
	Random number generator for unsigned integer values.

unsigned int	m_fevals
	A counter for the number of function evaluations.

Detailed Description

S-metric selection evolutionary multiobjective optimisation algorithm (SMS-EMOA)

SMS-EMOA is a S-metric (hypervolume indicator) based evolutionary algorithm.

See also: Nicola Beume, Boris Naujoks, Michael Emmerich, "SMS-EMOA: Multiobjective selection based on dominated hypervolume"

Author: Krzysztof Nowak kn@ki.nosp@m.ryx..nosp@m.net

Definition at line 46 of file sms_emoa.h.

Constructor & Destructor Documentation

pagmo::algorithm::sms_emoa::sms_emoa ( const sms_emoa & orig )

Copy constructor.

Copy constructor of SMS-EMOA.

Parameters

[in] orig Original instance of SMS-EMOA to make a copy from

Definition at line 68 of file sms_emoa.cpp.

pagmo::algorithm::sms_emoa::sms_emoa	(	int	gen = `100`,
		int	sel_m = `2`,
		double	cr = `0.95`,
		double	eta_c = `10`,
		double	m = `0.01`,
		double	eta_m = `50`
	)

Constructor.

Constructs the SMS-EMOA algorithm.

Parameters

[in]	gen	Number of generations to evolve.
[in]	sel_m	Selection method of the algorithm. If sel_m=1, least_contributor is used for the computation regardless of the number of fronts. If sel_m=2, domination count is used in case there are more than one front.
[in]	cr	Crossover probability
[in]	eta_c	Distribution index for crossover
[in]	m	Mutation probability
[in]	eta_m	Distribution index for mutation

Exceptions

value_error if gen is negative, crossover probability is not $\in [0,1[$ , mutation probability or mutation width is not $\in [0,1]$ ,

Definition at line 56 of file sms_emoa.cpp.

pagmo::algorithm::sms_emoa::sms_emoa	(	pagmo::util::hv_algorithm::base_ptr	hv_algorithm,
		int	gen = `100`,
		int	sel_m = `2`,
		double	cr = `0.95`,
		double	eta_c = `10`,
		double	m = `0.01`,
		double	eta_m = `50`
	)

Constructor.

Constructs the SMS-EMOA algorithm with the preferred hypervolume algorithm for computation.

Parameters

[in]	gen	Number of generations to evolve.
[in]	sel_m	Selection method of the algorithm. If sel_m=1, least_contributor is used for the computation regardless of the number of fronts. If sel_m=2, domination count is used in case there are more than one front.
[in]	cr	Crossover probability
[in]	eta_c	Distribution index for crossover
[in]	m	Mutation probability
[in]	eta_m	Distribution index for mutation
[in]	hv_algorithm	Hypervolume algorithm used for the computation of the least contributor

Exceptions

value_error if gen is negative, crossover probability is not $\in [0,1[$ , mutation probability or mutation width is not $\in [0,1]$ ,

Definition at line 90 of file sms_emoa.cpp.

Member Function Documentation

void pagmo::algorithm::sms_emoa::evolve ( population & pop ) const

virtual

Evolve implementation.

Run the SMS-EMOA evolve routine.

Parameters

[in,out] pop input/output pagmo::population to be evolved.

Implements pagmo::algorithm::base.

Definition at line 341 of file sms_emoa.cpp.

pagmo::util::hv_algorithm::base_ptr pagmo::algorithm::sms_emoa::get_hv_algorithm ( ) const

Get the hypervolume algorithm used for the computation.

Returns an instance of the algorithm currently set for the computation of the least_contributor.

Returns: shared pointer to the hv_algorithm instance

Definition at line 103 of file sms_emoa.cpp.

std::string pagmo::algorithm::sms_emoa::human_readable_extra ( ) const

protectedvirtual

Extra human readable algorithm info.

Will return a formatted string displaying the parameters of the algorithm.

Reimplemented from pagmo::algorithm::base.

Definition at line 389 of file sms_emoa.cpp.

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

Public Member Functions

Protected Member Functions

Friends

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation