moeoNormalizedDistance< MOEOT, Type > Class Template Reference

The base class for double distance computation with normalized objective values (i.e. More...

#include <moeoNormalizedDistance.h>

Inheritance diagram for moeoNormalizedDistance< MOEOT, Type >:

List of all members.

Public Types
typedef MOEOT::ObjectiveVector	ObjectiveVector
	the objective vector type of the solutions
Public Member Functions
	moeoNormalizedDistance ()
	Default ctr.
virtual void	setup (const eoPop< MOEOT > &_pop)
	Sets the lower and the upper bounds for every objective using extremes values for solutions contained in the population _pop.
virtual void	setup (double _min, double _max, unsigned int _obj)
	Sets the lower bound (_min) and the upper bound (_max) for the objective _obj.
virtual void	setup (eoRealInterval _realInterval, unsigned int _obj)
	Sets the lower bound and the upper bound for the objective _obj using a eoRealInterval object.
Static Public Member Functions
static double	tiny ()
	Returns a very small value that can be used to avoid extreme cases (where the min bound == the max bound).
Protected Attributes
std::vector< eoRealInterval >	bounds
	the bounds for every objective (bounds[i] = bounds for the objective i)

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Detailed Description

template<class MOEOT, class Type = double>
class moeoNormalizedDistance< MOEOT, Type >

The base class for double distance computation with normalized objective values (i.e.

between 0 and 1).

Definition at line 24 of file moeoNormalizedDistance.h.

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Member Function Documentation

template<class MOEOT, class Type = double>

virtual void moeoNormalizedDistance< MOEOT, Type >::setup

(

const eoPop< MOEOT > &

_pop

)

[inline, virtual]

Sets the lower and the upper bounds for every objective using extremes values for solutions contained in the population _pop.

Parameters:

_pop

the population

Reimplemented from moeoDistance< MOEOT, Type >.

Definition at line 59 of file moeoNormalizedDistance.h.

Referenced by moeoNormalizedDistance< MOEOT >::setup().

template<class MOEOT, class Type = double>

virtual void moeoNormalizedDistance< MOEOT, Type >::setup	(	double	_min,
		double	_max,
		unsigned int	_obj
	)			[inline, virtual]

Sets the lower bound (_min) and the upper bound (_max) for the objective _obj.

Parameters:

	_min	lower bound
	_max	upper bound
	_obj	the objective index

Reimplemented from moeoDistance< MOEOT, Type >.

Definition at line 83 of file moeoNormalizedDistance.h.

template<class MOEOT, class Type = double>

virtual void moeoNormalizedDistance< MOEOT, Type >::setup	(	eoRealInterval	_realInterval,
		unsigned int	_obj
	)			[inline, virtual]

Sets the lower bound and the upper bound for the objective _obj using a eoRealInterval object.

Parameters:

	_realInterval	the eoRealInterval object
	_obj	the objective index

Reimplemented from moeoDistance< MOEOT, Type >.

Definition at line 99 of file moeoNormalizedDistance.h.

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

• moeoNormalizedDistance.h

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