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Correct types for fitness assignment in IBEA

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While the default fitness assignment of IBEA is the Exp indicator one, the used interface is a binary indicator.
This commit is contained in:
Johann Dreo 2013-06-12 09:50:46 +02:00
commit a7134a658c
2 changed files with 6 additions and 6 deletions
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8
moeo/src/algo/moeoIBEA.h
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@ -160,7 +160,7 @@ public:
* @param _op variation operators * @param _op variation operators
* @param _fitnessAssignment fitness assignment * @param _fitnessAssignment fitness assignment
*/ */
moeoIBEA (eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoGenOp < MOEOT > & _op, moeoExpBinaryIndicatorBasedFitnessAssignment < MOEOT >& _fitnessAssignment) : moeoIBEA (eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoGenOp < MOEOT > & _op, moeoBinaryIndicatorBasedFitnessAssignment < MOEOT >& _fitnessAssignment) :
defaultGenContinuator(0), continuator(_continuator), eval(defaultEval), defaultPopEval(eval), popEval(_popEval), select(2), defaultGenContinuator(0), continuator(_continuator), eval(defaultEval), defaultPopEval(eval), popEval(_popEval), select(2),
selectMany(select,0.0), selectTransform(defaultSelect, defaultTransform), defaultSGAGenOp(defaultQuadOp, 1.0, defaultMonOp, 1.0), genBreed(select, _op), breed(genBreed), default_fitnessAssignment(NULL), fitnessAssignment(_fitnessAssignment), replace(fitnessAssignment, diversityAssignment) selectMany(select,0.0), selectTransform(defaultSelect, defaultTransform), defaultSGAGenOp(defaultQuadOp, 1.0, defaultMonOp, 1.0), genBreed(select, _op), breed(genBreed), default_fitnessAssignment(NULL), fitnessAssignment(_fitnessAssignment), replace(fitnessAssignment, diversityAssignment)
{} {}
@ -173,7 +173,7 @@ public:
* @param _op variation operators * @param _op variation operators
* @param _fitnessAssignment fitness assignment * @param _fitnessAssignment fitness assignment
*/ */
moeoIBEA (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op, moeoExpBinaryIndicatorBasedFitnessAssignment < MOEOT >& _fitnessAssignment) : moeoIBEA (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op, moeoBinaryIndicatorBasedFitnessAssignment < MOEOT >& _fitnessAssignment) :
defaultGenContinuator(0), continuator(_continuator), eval(_eval), defaultPopEval(_eval), popEval(defaultPopEval), select(2), defaultGenContinuator(0), continuator(_continuator), eval(_eval), defaultPopEval(_eval), popEval(defaultPopEval), select(2),
selectMany(select,0.0), selectTransform(defaultSelect, defaultTransform), defaultSGAGenOp(defaultQuadOp, 1.0, defaultMonOp, 1.0), genBreed(select, _op), breed(genBreed), default_fitnessAssignment(NULL), fitnessAssignment(_fitnessAssignment), replace(fitnessAssignment, diversityAssignment) selectMany(select,0.0), selectTransform(defaultSelect, defaultTransform), defaultSGAGenOp(defaultQuadOp, 1.0, defaultMonOp, 1.0), genBreed(select, _op), breed(genBreed), default_fitnessAssignment(NULL), fitnessAssignment(_fitnessAssignment), replace(fitnessAssignment, diversityAssignment)
{} {}
@ -190,7 +190,7 @@ public:
* Apply the algorithm to the population _pop until the stopping criteria is satified. * Apply the algorithm to the population _pop until the stopping criteria is satified.
* @param _pop the population * @param _pop the population
*/ */
virtual void operator () (eoPop < MOEOT > &_pop) virtual void operator() (eoPop < MOEOT > &_pop)
{ {
eoPop < MOEOT > offspring, empty_pop; eoPop < MOEOT > offspring, empty_pop;
popEval (empty_pop, _pop); // a first eval of _pop popEval (empty_pop, _pop); // a first eval of _pop
@ -260,7 +260,7 @@ protected:
/** breeder */ /** breeder */
eoBreed < MOEOT > & breed; eoBreed < MOEOT > & breed;
/** fitness assignment used in IBEA */ /** fitness assignment used in IBEA */
moeoExpBinaryIndicatorBasedFitnessAssignment < MOEOT >& fitnessAssignment; moeoBinaryIndicatorBasedFitnessAssignment < MOEOT >& fitnessAssignment;
moeoExpBinaryIndicatorBasedFitnessAssignment < MOEOT >* default_fitnessAssignment; moeoExpBinaryIndicatorBasedFitnessAssignment < MOEOT >* default_fitnessAssignment;
/** dummy diversity assignment */ /** dummy diversity assignment */
moeoDummyDiversityAssignment < MOEOT > diversityAssignment; moeoDummyDiversityAssignment < MOEOT > diversityAssignment;

4
moeo/src/fitness/moeoExpBinaryIndicatorBasedFitnessAssignment.h
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@ -175,7 +175,7 @@ class moeoExpBinaryIndicatorBasedFitnessAssignment : public moeoBinaryIndicatorB
* Compute every indicator value in values (values[i] = I(_v[i], _o)) * Compute every indicator value in values (values[i] = I(_v[i], _o))
* @param _pop the population * @param _pop the population
*/ */
void computeValues(const eoPop < MOEOT > & _pop) virtual void computeValues(const eoPop < MOEOT > & _pop)
{ {
values.clear(); values.clear();
values.resize(_pop.size()); values.resize(_pop.size());
@ -211,7 +211,7 @@ class moeoExpBinaryIndicatorBasedFitnessAssignment : public moeoBinaryIndicatorB
* Returns the fitness value of the _idx th individual of the population * Returns the fitness value of the _idx th individual of the population
* @param _idx the index * @param _idx the index
*/ */
Type computeFitness(const unsigned int _idx) virtual Type computeFitness(const unsigned int _idx)
{ {
Type result(0.0); Type result(0.0);
for (unsigned int i=0; i<values.size(); i++) for (unsigned int i=0; i<values.size(); i++)