moeoNormalizedSolutionVsSolutionBinaryMetric< ObjectiveVector, R > Class Template Reference

Base class for binary metrics dedicated to the performance comparison between two solutions's objective vectors using normalized values. More...

#include <moeoNormalizedSolutionVsSolutionBinaryMetric.h>

Inheritance diagram for moeoNormalizedSolutionVsSolutionBinaryMetric< ObjectiveVector, R >:

List of all members.

Public Member Functions
	moeoNormalizedSolutionVsSolutionBinaryMetric ()
	Default ctr for any moeoNormalizedSolutionVsSolutionBinaryMetric object.
void	setup (double _min, double _max, unsigned _obj)
	Sets the lower bound (_min) and the upper bound (_max) for the objective _obj _min lower bound _max upper bound _obj the objective index.
virtual void	setup (eoRealInterval _realInterval, unsigned _obj)
	Sets the lower bound and the upper bound for the objective _obj using a eoRealInterval object _realInterval the eoRealInterval object _obj the objective index.
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 ObjectiveVector, class R>
class moeoNormalizedSolutionVsSolutionBinaryMetric< ObjectiveVector, R >

Base class for binary metrics dedicated to the performance comparison between two solutions's objective vectors using normalized values.

Then, indicator values lie in the interval [-1,1]. Note that you have to set the bounds for every objective before using the operator().

Definition at line 26 of file moeoNormalizedSolutionVsSolutionBinaryMetric.h.

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

• moeoNormalizedSolutionVsSolutionBinaryMetric.h

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