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Add constructors with explicit fitness assignement to IBEA

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Johann Dreo 2013-06-07 17:34:59 +02:00
commit 89374247a4
1 changed files with 53 additions and 6 deletions
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59
moeo/src/algo/moeoIBEA.h
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@ -80,7 +80,20 @@ public:
* @param _kappa scaling factor kappa
*/
moeoIBEA (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoQuadOp < MOEOT > & _crossover, double _pCross, eoMonOp < MOEOT > & _mutation, double _pMut, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) :
defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), eval(_eval), defaultPopEval(_eval), popEval(defaultPopEval), select (2), selectMany(select,0.0), selectTransform(defaultSelect, defaultTransform), defaultSGAGenOp(_crossover, _pCross, _mutation, _pMut), genBreed (select, defaultSGAGenOp), breed (genBreed), fitnessAssignment(_metric, _kappa), replace (fitnessAssignment, diversityAssignment)
defaultGenContinuator(_maxGen),
continuator(defaultGenContinuator),
eval(_eval),
defaultPopEval(_eval),
popEval(defaultPopEval),
select (2),
selectMany(select,0.0),
selectTransform(defaultSelect, defaultTransform),
defaultSGAGenOp(_crossover, _pCross, _mutation, _pMut),
genBreed (select, defaultSGAGenOp),
breed (genBreed),
default_fitnessAssignment( new moeoExpBinaryIndicatorBasedFitnessAssignment<MOEOT>(_metric, _kappa) ),
fitnessAssignment(*default_fitnessAssignment),
replace(fitnessAssignment, diversityAssignment)
{}
@ -94,7 +107,7 @@ public:
*/
moeoIBEA (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) :
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), fitnessAssignment(_metric, _kappa), replace (fitnessAssignment, diversityAssignment)
selectMany(select,0.0), selectTransform(defaultSelect, defaultTransform), defaultSGAGenOp(defaultQuadOp, 1.0, defaultMonOp, 1.0), genBreed(select, _op), breed(genBreed), default_fitnessAssignment( new moeoExpBinaryIndicatorBasedFitnessAssignment<MOEOT>(_metric, _kappa)), fitnessAssignment(*default_fitnessAssignment), replace (fitnessAssignment, diversityAssignment)
{}
@ -108,7 +121,7 @@ public:
*/
moeoIBEA (eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoGenOp < MOEOT > & _op, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) :
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), fitnessAssignment(_metric, _kappa), replace (fitnessAssignment, diversityAssignment)
selectMany(select,0.0), selectTransform(defaultSelect, defaultTransform), defaultSGAGenOp(defaultQuadOp, 1.0, defaultMonOp, 1.0), genBreed(select, _op), breed(genBreed), default_fitnessAssignment( new moeoExpBinaryIndicatorBasedFitnessAssignment<MOEOT>(_metric, _kappa)), fitnessAssignment(*default_fitnessAssignment), replace (fitnessAssignment, diversityAssignment)
{}
@ -122,7 +135,7 @@ public:
*/
moeoIBEA (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _transform, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) :
defaultGenContinuator(0), continuator(_continuator), eval(_eval), defaultPopEval(_eval), popEval(defaultPopEval),
select(2), selectMany(select, 1.0), selectTransform(selectMany, _transform), defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0), genBreed(select, defaultSGAGenOp), breed(selectTransform), fitnessAssignment(_metric, _kappa), replace(fitnessAssignment, diversityAssignment)
select(2), selectMany(select, 1.0), selectTransform(selectMany, _transform), defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0), genBreed(select, defaultSGAGenOp), breed(selectTransform), default_fitnessAssignment( new moeoExpBinaryIndicatorBasedFitnessAssignment<MOEOT>(_metric, _kappa)), fitnessAssignment(*default_fitnessAssignment), replace(fitnessAssignment, diversityAssignment)
{}
@ -136,10 +149,43 @@ public:
*/
moeoIBEA (eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoTransform < MOEOT > & _transform, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) :
defaultGenContinuator(0), continuator(_continuator), eval(defaultEval), defaultPopEval(eval), popEval(_popEval),
select(2), selectMany(select, 1.0), selectTransform(selectMany, _transform), defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0), genBreed(select, defaultSGAGenOp), breed(selectTransform), fitnessAssignment(_metric, _kappa), replace(fitnessAssignment, diversityAssignment)
select(2), selectMany(select, 1.0), selectTransform(selectMany, _transform), defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0), genBreed(select, defaultSGAGenOp), breed(selectTransform), default_fitnessAssignment( new moeoExpBinaryIndicatorBasedFitnessAssignment<MOEOT>(_metric, _kappa)), fitnessAssignment(*default_fitnessAssignment), replace(fitnessAssignment, diversityAssignment)
{}
/**
* Ctor with a eoContinue, a eoPopEval, a eoGenOp and an explicit fitnessAssignment
* @param _continuator stopping criteria
* @param _popEval population evaluation function
* @param _op variation operators
* @param _fitnessAssignment fitness assignment
*/
moeoIBEA (eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoGenOp < MOEOT > & _op, moeoExpBinaryIndicatorBasedFitnessAssignment < MOEOT >& _fitnessAssignment) :
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)
{}
/**
* Ctor with a eoContinue, a eoGenOp and an explicit fitnessAssignment
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _op variation operators
* @param _fitnessAssignment fitness assignment
*/
moeoIBEA (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op, moeoExpBinaryIndicatorBasedFitnessAssignment < MOEOT >& _fitnessAssignment) :
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)
{}
~moeoIBEA()
{
if( default_fitnessAssignment != NULL ) {
delete default_fitnessAssignment;
}
}
/**
* Apply the algorithm to the population _pop until the stopping criteria is satified.
* @param _pop the population
@ -214,7 +260,8 @@ protected:
/** breeder */
eoBreed < MOEOT > & breed;
/** fitness assignment used in IBEA */
moeoExpBinaryIndicatorBasedFitnessAssignment < MOEOT > fitnessAssignment;
moeoExpBinaryIndicatorBasedFitnessAssignment < MOEOT >& fitnessAssignment;
moeoExpBinaryIndicatorBasedFitnessAssignment < MOEOT >* default_fitnessAssignment;
/** dummy diversity assignment */
moeoDummyDiversityAssignment < MOEOT > diversityAssignment;
/** environmental replacement */