moeoSharingDiversityAssignment< MOEOT > Class Template Reference

Sharing assignment scheme originally porposed by: D. More...

Inheritance diagram for moeoSharingDiversityAssignment< MOEOT >:


Public Types
typedef MOEOT::ObjectiveVector	ObjectiveVector
	the objective vector type of the solutions
Public Member Functions
	moeoSharingDiversityAssignment (moeoDistance< MOEOT, double > &_distance, double _nicheSize=0.5, double _alpha=1.0)
	Ctor.
	moeoSharingDiversityAssignment (double _nicheSize=0.5, double _alpha=1.0)
	Ctor with an euclidean distance (with normalized objective values) in the objective space is used as default.
void	operator() (eoPop< MOEOT > &_pop)
	Sets diversity values for every solution contained in the population _pop.
void	updateByDeleting (eoPop< MOEOT > &_pop, ObjectiveVector &_objVec)
Protected Member Functions
virtual void	setSimilarities (eoPop< MOEOT > &_pop)
	Sets similarities for every solution contained in the population _pop.
double	sh (double _dist)
	Sharing function.
Protected Attributes
moeoDistance< MOEOT, double > &	distance
	the distance used to compute the neighborhood of solutions
moeoEuclideanDistance< MOEOT >	defaultDistance
	euclidean distancein the objective space (can be used as default)
double	nicheSize
	neighborhood size in terms of radius distance
double	alpha
	parameter used to regulate the shape of the sharing function

Detailed Description

Sharing assignment scheme originally porposed by: D.

E. Goldberg, "Genetic Algorithms in Search, Optimization and Machine Learning", Addision-Wesley, MA, USA (1989).

template<class MOEOT>

moeoSharingDiversityAssignment< MOEOT >::moeoSharingDiversityAssignment	(	moeoDistance< MOEOT, double > &	_distance,
		double	_nicheSize = `0.5`,
		double	_alpha = `1.0`
	)			`[inline]`

Ctor.

Parameters:

	_distance	the distance used to compute the neighborhood of solutions (can be related to the decision space or the objective space)
	_nicheSize	neighborhood size in terms of radius distance (closely related to the way the distances are computed)
	_alpha	parameter used to regulate the shape of the sharing function

template<class MOEOT>

moeoSharingDiversityAssignment< MOEOT >::moeoSharingDiversityAssignment	(	double	_nicheSize = `0.5`,
		double	_alpha = `1.0`
	)			`[inline]`

Ctor with an euclidean distance (with normalized objective values) in the objective space is used as default.

Parameters:

	_nicheSize	neighborhood size in terms of radius distance (closely related to the way the distances are computed)
	_alpha	parameter used to regulate the shape of the sharing function

template<class MOEOT>

void moeoSharingDiversityAssignment< MOEOT >::operator() ( eoPop< MOEOT > & _pop ) [inline, virtual]

Sets diversity values for every solution contained in the population _pop.

Parameters:

_pop

the population

template<class MOEOT>

void moeoSharingDiversityAssignment< MOEOT >::updateByDeleting	(	eoPop< MOEOT > &	_pop,
		ObjectiveVector &	_objVec
	)			`[inline, virtual]`

Warning:: NOT IMPLEMENTED, DO NOTHING ! Updates the diversity values of the whole population _pop by taking the deletion of the objective vector _objVec into account.

Parameters: