git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@397 331e1502-861f-0410-8da2-ba01fb791d7f
223 lines
7.7 KiB
Groff
223 lines
7.7 KiB
Groff
.TH "moeoIndicatorBasedFitnessAssignment" 3 "26 Jun 2007" "Version 1.0" "ParadisEO-MOEO" \" -*- nroff -*-
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.SH NAME
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moeoIndicatorBasedFitnessAssignment \- Fitness assignment sheme based an Indicator proposed in: E.
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.PP
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.SH SYNOPSIS
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.br
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\fC#include <moeoIndicatorBasedFitnessAssignment.h>\fP
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Inherits \fBmoeoFitnessAssignment< MOEOT >< MOEOT >\fP.
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.PP
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.SS "Public Types"
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.in +1c
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.ti -1c
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.RI "typedef MOEOT::ObjectiveVector \fBObjectiveVector\fP"
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.RI "\fIThe type of objective vector. \fP"
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.in -1c
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.SS "Public Member Functions"
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.in +1c
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.RI "\fBmoeoIndicatorBasedFitnessAssignment\fP (\fBmoeoNormalizedSolutionVsSolutionBinaryMetric\fP< \fBObjectiveVector\fP, double > &_metric, const double _kappa=0.05)"
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.br
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.RI "\fICtor. \fP"
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.ti -1c
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.RI "void \fBoperator()\fP (\fBeoPop\fP< MOEOT > &_pop)"
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.br
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.RI "\fISets the fitness values for every solution contained in the population _pop. \fP"
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.ti -1c
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.RI "void \fBupdateByDeleting\fP (\fBeoPop\fP< MOEOT > &_pop, \fBObjectiveVector\fP &_objVec)"
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.br
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.RI "\fIUpdates the fitness values of the whole population _pop by taking the deletion of the objective vector _objVec into account. \fP"
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.RI "double \fBupdateByAdding\fP (\fBeoPop\fP< MOEOT > &_pop, \fBObjectiveVector\fP &_objVec)"
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.RI "\fIUpdates the fitness values of the whole population _pop by taking the adding of the objective vector _objVec into account and returns the fitness value of _objVec. \fP"
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.SS "Protected Member Functions"
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.RI "void \fBsetup\fP (const \fBeoPop\fP< MOEOT > &_pop)"
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.br
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.RI "\fISets the bounds for every objective using the min and the max value for every objective vector of _pop. \fP"
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.RI "void \fBcomputeValues\fP (const \fBeoPop\fP< MOEOT > &_pop)"
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.RI "\fICompute every indicator value in values (values[i] = I(_v[i], _o)). \fP"
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.RI "void \fBsetFitnesses\fP (\fBeoPop\fP< MOEOT > &_pop)"
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.br
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.RI "\fISets the fitness value of the whple population. \fP"
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.ti -1c
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.RI "double \fBcomputeFitness\fP (const unsigned int _idx)"
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.RI "\fIReturns the fitness value of the _idx th individual of the population. \fP"
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.SS "Protected Attributes"
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.RI "\fBmoeoNormalizedSolutionVsSolutionBinaryMetric\fP< \fBObjectiveVector\fP, double > & \fBmetric\fP"
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.br
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.RI "\fIthe quality indicator \fP"
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.ti -1c
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.RI "double \fBkappa\fP"
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.br
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.RI "\fIthe scaling factor \fP"
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.ti -1c
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.RI "std::vector< std::vector< double > > \fBvalues\fP"
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.br
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.RI "\fIthe computed indicator values \fP"
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.in -1c
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.SH "Detailed Description"
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.PP
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.SS "template<class MOEOT> class moeoIndicatorBasedFitnessAssignment< MOEOT >"
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Fitness assignment sheme based an Indicator proposed in: E.
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Zitzler, S. Künzli, 'Indicator-Based Selection in Multiobjective Search', Proc. 8th International Conference on Parallel Problem Solving from Nature (PPSN VIII), pp. 832-842, Birmingham, UK (2004). This strategy is, for instance, used in IBEA.
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Definition at line 29 of file moeoIndicatorBasedFitnessAssignment.h.
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.SH "Constructor & Destructor Documentation"
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.PP
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.SS "template<class MOEOT> \fBmoeoIndicatorBasedFitnessAssignment\fP< MOEOT >::\fBmoeoIndicatorBasedFitnessAssignment\fP (\fBmoeoNormalizedSolutionVsSolutionBinaryMetric\fP< \fBObjectiveVector\fP, double > & _metric, const double _kappa = \fC0.05\fP)\fC [inline]\fP"
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Ctor.
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\fBParameters:\fP
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.RS 4
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\fI_metric\fP the quality indicator
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.br
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\fI_kappa\fP the scaling factor
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.RE
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.PP
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Definition at line 42 of file moeoIndicatorBasedFitnessAssignment.h.
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.SH "Member Function Documentation"
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.PP
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.SS "template<class MOEOT> void \fBmoeoIndicatorBasedFitnessAssignment\fP< MOEOT >::operator() (\fBeoPop\fP< MOEOT > & _pop)\fC [inline, virtual]\fP"
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Sets the fitness values for every solution contained in the population _pop.
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.PP
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\fBParameters:\fP
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.RS 4
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\fI_pop\fP the population
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.RE
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Implements \fBeoUF< eoPop< MOEOT > &, void >\fP.
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Definition at line 50 of file moeoIndicatorBasedFitnessAssignment.h.
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References moeoIndicatorBasedFitnessAssignment< MOEOT >::computeValues(), moeoIndicatorBasedFitnessAssignment< MOEOT >::setFitnesses(), and moeoIndicatorBasedFitnessAssignment< MOEOT >::setup().
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.SS "template<class MOEOT> void \fBmoeoIndicatorBasedFitnessAssignment\fP< MOEOT >::updateByDeleting (\fBeoPop\fP< MOEOT > & _pop, \fBObjectiveVector\fP & _objVec)\fC [inline, virtual]\fP"
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.PP
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Updates the fitness values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
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.PP
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\fBParameters:\fP
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.RS 4
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\fI_pop\fP the population
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.br
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\fI_objVec\fP the objective vector
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.RE
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.PP
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Implements \fBmoeoFitnessAssignment< MOEOT >\fP.
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Definition at line 66 of file moeoIndicatorBasedFitnessAssignment.h.
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.PP
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References moeoIndicatorBasedFitnessAssignment< MOEOT >::kappa, and moeoIndicatorBasedFitnessAssignment< MOEOT >::metric.
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.SS "template<class MOEOT> double \fBmoeoIndicatorBasedFitnessAssignment\fP< MOEOT >::updateByAdding (\fBeoPop\fP< MOEOT > & _pop, \fBObjectiveVector\fP & _objVec)\fC [inline]\fP"
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.PP
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Updates the fitness values of the whole population _pop by taking the adding of the objective vector _objVec into account and returns the fitness value of _objVec.
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.PP
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\fBParameters:\fP
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.RS 4
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\fI_pop\fP the population
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.br
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\fI_objVec\fP the objective vector
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.RE
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.PP
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Definition at line 87 of file moeoIndicatorBasedFitnessAssignment.h.
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.PP
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References moeoIndicatorBasedFitnessAssignment< MOEOT >::kappa, and moeoIndicatorBasedFitnessAssignment< MOEOT >::metric.
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.SS "template<class MOEOT> void \fBmoeoIndicatorBasedFitnessAssignment\fP< MOEOT >::setup (const \fBeoPop\fP< MOEOT > & _pop)\fC [inline, protected]\fP"
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.PP
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Sets the bounds for every objective using the min and the max value for every objective vector of _pop.
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.PP
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\fBParameters:\fP
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.RS 4
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\fI_pop\fP the population
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.RE
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.PP
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Definition at line 130 of file moeoIndicatorBasedFitnessAssignment.h.
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References moeoIndicatorBasedFitnessAssignment< MOEOT >::metric, and moeoNormalizedSolutionVsSolutionBinaryMetric< ObjectiveVector, R >::setup().
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.PP
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Referenced by moeoIndicatorBasedFitnessAssignment< MOEOT >::operator()().
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.SS "template<class MOEOT> void \fBmoeoIndicatorBasedFitnessAssignment\fP< MOEOT >::computeValues (const \fBeoPop\fP< MOEOT > & _pop)\fC [inline, protected]\fP"
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.PP
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Compute every indicator value in values (values[i] = I(_v[i], _o)).
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.PP
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\fBParameters:\fP
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.RS 4
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\fI_pop\fP the population
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.RE
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.PP
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Definition at line 152 of file moeoIndicatorBasedFitnessAssignment.h.
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References moeoIndicatorBasedFitnessAssignment< MOEOT >::metric, and moeoIndicatorBasedFitnessAssignment< MOEOT >::values.
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Referenced by moeoIndicatorBasedFitnessAssignment< MOEOT >::operator()().
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.SS "template<class MOEOT> void \fBmoeoIndicatorBasedFitnessAssignment\fP< MOEOT >::setFitnesses (\fBeoPop\fP< MOEOT > & _pop)\fC [inline, protected]\fP"
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.PP
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Sets the fitness value of the whple population.
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.PP
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\fBParameters:\fP
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.RS 4
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\fI_pop\fP the population
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.RE
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.PP
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Definition at line 174 of file moeoIndicatorBasedFitnessAssignment.h.
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References moeoIndicatorBasedFitnessAssignment< MOEOT >::computeFitness().
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Referenced by moeoIndicatorBasedFitnessAssignment< MOEOT >::operator()().
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.SS "template<class MOEOT> double \fBmoeoIndicatorBasedFitnessAssignment\fP< MOEOT >::computeFitness (const unsigned int _idx)\fC [inline, protected]\fP"
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.PP
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Returns the fitness value of the _idx th individual of the population.
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\fBParameters:\fP
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.RS 4
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\fI_idx\fP the index
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.RE
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Definition at line 187 of file moeoIndicatorBasedFitnessAssignment.h.
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References moeoIndicatorBasedFitnessAssignment< MOEOT >::kappa, and moeoIndicatorBasedFitnessAssignment< MOEOT >::values.
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.PP
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Referenced by moeoIndicatorBasedFitnessAssignment< MOEOT >::setFitnesses().
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.SH "Author"
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.PP
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Generated automatically by Doxygen for ParadisEO-MOEO from the source code.
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