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update and new stuffs

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git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@204 331e1502-861f-0410-8da2-ba01fb791d7f
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liefooga 2007-03-14 16:36:33 +00:00
commit 0deb287cc0
3 changed files with 489 additions and 57 deletions
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branches/paradiseo-moeo-1.0/src/metric/moeoMetric.h
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@ -62,63 +62,6 @@ class moeoSolutionVsSolutionBinaryMetric : public moeoBinaryMetric < const Objec
{};
/**
* 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().
*/
template < class ObjectiveVector, class R >
class moeoNormalizedSolutionVsSolutionBinaryMetric : public moeoSolutionVsSolutionBinaryMetric < ObjectiveVector, R >
{
public:
/**
* Default ctr for any moeoNormalizedSolutionVsSolutionBinaryMetric object
*/
moeoNormalizedSolutionVsSolutionBinaryMetric()
{
bounds.resize(ObjectiveVector::Traits::nObjectives());
}
/**
* 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(double _min, double _max, unsigned _obj)
{
bounds[_obj] = eoRealInterval(_min, _max);
}
/**
* Sets the lower bound and the upper bound for the objective _obj using a eoRealInterval object
* _realInterval the eoRealInterval object
* _obj the objective index
*/
virtual void setup(eoRealInterval _realInterval, unsigned _obj)
{
bounds[_obj] = _realInterval;
}
protected:
/** the bounds for every objective (bounds[i] = bounds for the objective i) */
std::vector < eoRealInterval > bounds;
};
/**
* Base class for binary metrics dedicated to the performance comparison between a Pareto set (a vector of objective vectors) and a single solution's objective vector.
*/
template < class ObjectiveVector, class R >
class moeoVectorVsSolutionBinaryMetric : public moeoBinaryMetric < const std::vector < ObjectiveVector > &, const ObjectiveVector &, R >
{};
/**
* Base class for binary metrics dedicated to the performance comparison between two Pareto sets (two vectors of objective vectors)
*/