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Add hyper volume continuators & metrics handling feasibility constraint on objectives

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This commit is contained in:
Johann Dreo 2013-06-11 13:29:57 +02:00
commit 75340a5c91
4 changed files with 262 additions and 47 deletions
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27
moeo/src/fitness/moeoExpBinaryIndicatorBasedDualFitnessAssignment.h
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@ -10,6 +10,9 @@ protected:
public:
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
typedef typename ObjectiveVector::Type Type;
using moeoExpBinaryIndicatorBasedFitnessAssignment<MOEOT>::values;
moeoExpBinaryIndicatorBasedDualFitnessAssignment(
moeoNormalizedSolutionVsSolutionBinaryMetric<ObjectiveVector,double> & metric,
@ -54,11 +57,33 @@ public:
this->setFitnesses(*ppop);
}
/**
* Compute every indicator value in values (values[i] = I(_v[i], _o))
* @param _pop the population
*/
void computeValues(const eoPop < MOEOT > & _pop)
{
values.clear();
values.resize(_pop.size());
for (unsigned int i=0; i<_pop.size(); i++)
{
values[i].resize(_pop.size());
// the metric may not be symetric, thus neither is the matrix
for (unsigned int j=0; j<_pop.size(); j++)
{
if (i != j)
{
values[i][j] = Type( metric(_pop[i].objectiveVector(), _pop[j].objectiveVector()), _pop[i].objectiveVector().is_feasible() );
}
}
}
}
virtual void setFitnesses(eoPop < MOEOT > & pop)
{
for (unsigned int i=0; i<pop.size(); i++) {
// We should maintain the feasibility of the fitness across computations
pop[i].fitness( this->computeFitness(i), pop[i].is_feasible() );
pop[i].fitness( this->computeFitness(i), pop[i].fitness().is_feasible() );
}
}