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# 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 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)

## 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.

## Member Function Documentation

template<class ObjectiveVector, class R>

void moeoNormalizedSolutionVsSolutionBinaryMetric< ObjectiveVector, R >::setup | ( | double | _min,
|  | double | _max,
|  | unsigned int | _obj |
| ) |  |  | `[inline]`

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

Definition at line 50 of file moeoNormalizedSolutionVsSolutionBinaryMetric.h.

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

template<class ObjectiveVector, class R>

virtual void moeoNormalizedSolutionVsSolutionBinaryMetric< ObjectiveVector, R >::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

Definition at line 66 of file moeoNormalizedSolutionVsSolutionBinaryMetric.h.

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

- moeoNormalizedSolutionVsSolutionBinaryMetric.h