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.TH "moeoIndicatorBasedFitnessAssignment" 3 "26 Jun 2007" "Version 1.0" "ParadisEO-MOEO" \" -*- nroff -*-
.ad l
.nh
.SH NAME
moeoIndicatorBasedFitnessAssignment \- Fitness assignment sheme based an Indicator proposed in: E.
.PP
.SH SYNOPSIS
.br
.PP
\fC#include <moeoIndicatorBasedFitnessAssignment.h>\fP
.PP
Inherits \fBmoeoFitnessAssignment< MOEOT >< MOEOT >\fP.
.PP
.SS "Public Types"
.in +1c
.ti -1c
.RI "typedef MOEOT::ObjectiveVector \fBObjectiveVector\fP"
.br
.RI "\fIThe type of objective vector. \fP"
.in -1c
.SS "Public Member Functions"
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.ti -1c
.RI "\fBmoeoIndicatorBasedFitnessAssignment\fP (\fBmoeoNormalizedSolutionVsSolutionBinaryMetric\fP< \fBObjectiveVector\fP, double > &_metric, const double _kappa=0.05)"
.br
.RI "\fICtor. \fP"
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.RI "void \fBoperator()\fP (\fBeoPop\fP< MOEOT > &_pop)"
.br
.RI "\fISets the fitness values for every solution contained in the population _pop. \fP"
.ti -1c
.RI "void \fBupdateByDeleting\fP (\fBeoPop\fP< MOEOT > &_pop, \fBObjectiveVector\fP &_objVec)"
.br
.RI "\fIUpdates the fitness values of the whole population _pop by taking the deletion of the objective vector _objVec into account. \fP"
.ti -1c
.RI "double \fBupdateByAdding\fP (\fBeoPop\fP< MOEOT > &_pop, \fBObjectiveVector\fP &_objVec)"
.br
.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"
.in -1c
.SS "Protected Member Functions"
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.RI "void \fBsetup\fP (const \fBeoPop\fP< MOEOT > &_pop)"
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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)"
.br
.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)"
.br
.RI "\fISets the fitness value of the whple population. \fP"
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.RI "double \fBcomputeFitness\fP (const unsigned int _idx)"
.br
.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"
.br
.RI "\fIthe quality indicator \fP"
.ti -1c
.RI "double \fBkappa\fP"
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.RI "\fIthe scaling factor \fP"
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.RI "std::vector< std::vector< double > > \fBvalues\fP"
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.RI "\fIthe computed indicator values \fP"
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.SH "Detailed Description"
.PP
.SS "template<class MOEOT> class moeoIndicatorBasedFitnessAssignment< MOEOT >"
Fitness assignment sheme based an Indicator proposed in: E.
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.
.PP
Definition at line 29 of file moeoIndicatorBasedFitnessAssignment.h.
.SH "Constructor & Destructor Documentation"
.PP
.SS "template<class MOEOT> \fBmoeoIndicatorBasedFitnessAssignment\fP< MOEOT >::\fBmoeoIndicatorBasedFitnessAssignment\fP (\fBmoeoNormalizedSolutionVsSolutionBinaryMetric\fP< \fBObjectiveVector\fP, double > & _metric, const double _kappa = \fC0.05\fP)\fC [inline]\fP"
.PP
Ctor.
.PP
\fBParameters:\fP
.RS 4
\fI_metric\fP the quality indicator
.br
\fI_kappa\fP the scaling factor
.RE
.PP
.PP
Definition at line 42 of file moeoIndicatorBasedFitnessAssignment.h.
.SH "Member Function Documentation"
.PP
.SS "template<class MOEOT> void \fBmoeoIndicatorBasedFitnessAssignment\fP< MOEOT >::operator() (\fBeoPop\fP< MOEOT > & _pop)\fC [inline, virtual]\fP"
.PP
Sets the fitness values for every solution contained in the population _pop.
.PP
\fBParameters:\fP
.RS 4
\fI_pop\fP the population
.RE
.PP
.PP
Implements \fBeoUF< eoPop< MOEOT > &, void >\fP.
.PP
Definition at line 50 of file moeoIndicatorBasedFitnessAssignment.h.
.PP
References moeoIndicatorBasedFitnessAssignment< MOEOT >::computeValues(), moeoIndicatorBasedFitnessAssignment< MOEOT >::setFitnesses(), and moeoIndicatorBasedFitnessAssignment< MOEOT >::setup().
.SS "template<class MOEOT> void \fBmoeoIndicatorBasedFitnessAssignment\fP< MOEOT >::updateByDeleting (\fBeoPop\fP< MOEOT > & _pop, \fBObjectiveVector\fP & _objVec)\fC [inline, virtual]\fP"
.PP
Updates the fitness values of the whole population _pop by taking the deletion of the objective vector _objVec into account.
.PP
\fBParameters:\fP
.RS 4
\fI_pop\fP the population
.br
\fI_objVec\fP the objective vector
.RE
.PP
.PP
Implements \fBmoeoFitnessAssignment< MOEOT >\fP.
.PP
Definition at line 66 of file moeoIndicatorBasedFitnessAssignment.h.
.PP
References moeoIndicatorBasedFitnessAssignment< MOEOT >::kappa, and moeoIndicatorBasedFitnessAssignment< MOEOT >::metric.
.SS "template<class MOEOT> double \fBmoeoIndicatorBasedFitnessAssignment\fP< MOEOT >::updateByAdding (\fBeoPop\fP< MOEOT > & _pop, \fBObjectiveVector\fP & _objVec)\fC [inline]\fP"
.PP
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.
.PP
\fBParameters:\fP
.RS 4
\fI_pop\fP the population
.br
\fI_objVec\fP the objective vector
.RE
.PP
.PP
Definition at line 87 of file moeoIndicatorBasedFitnessAssignment.h.
.PP
References moeoIndicatorBasedFitnessAssignment< MOEOT >::kappa, and moeoIndicatorBasedFitnessAssignment< MOEOT >::metric.
.SS "template<class MOEOT> void \fBmoeoIndicatorBasedFitnessAssignment\fP< MOEOT >::setup (const \fBeoPop\fP< MOEOT > & _pop)\fC [inline, protected]\fP"
.PP
Sets the bounds for every objective using the min and the max value for every objective vector of _pop.
.PP
\fBParameters:\fP
.RS 4
\fI_pop\fP the population
.RE
.PP
.PP
Definition at line 130 of file moeoIndicatorBasedFitnessAssignment.h.
.PP
References moeoIndicatorBasedFitnessAssignment< MOEOT >::metric, and moeoNormalizedSolutionVsSolutionBinaryMetric< ObjectiveVector, R >::setup().
.PP
Referenced by moeoIndicatorBasedFitnessAssignment< MOEOT >::operator()().
.SS "template<class MOEOT> void \fBmoeoIndicatorBasedFitnessAssignment\fP< MOEOT >::computeValues (const \fBeoPop\fP< MOEOT > & _pop)\fC [inline, protected]\fP"
.PP
Compute every indicator value in values (values[i] = I(_v[i], _o)).
.PP
\fBParameters:\fP
.RS 4
\fI_pop\fP the population
.RE
.PP
.PP
Definition at line 152 of file moeoIndicatorBasedFitnessAssignment.h.
.PP
References moeoIndicatorBasedFitnessAssignment< MOEOT >::metric, and moeoIndicatorBasedFitnessAssignment< MOEOT >::values.
.PP
Referenced by moeoIndicatorBasedFitnessAssignment< MOEOT >::operator()().
.SS "template<class MOEOT> void \fBmoeoIndicatorBasedFitnessAssignment\fP< MOEOT >::setFitnesses (\fBeoPop\fP< MOEOT > & _pop)\fC [inline, protected]\fP"
.PP
Sets the fitness value of the whple population.
.PP
\fBParameters:\fP
.RS 4
\fI_pop\fP the population
.RE
.PP
.PP
Definition at line 174 of file moeoIndicatorBasedFitnessAssignment.h.
.PP
References moeoIndicatorBasedFitnessAssignment< MOEOT >::computeFitness().
.PP
Referenced by moeoIndicatorBasedFitnessAssignment< MOEOT >::operator()().
.SS "template<class MOEOT> double \fBmoeoIndicatorBasedFitnessAssignment\fP< MOEOT >::computeFitness (const unsigned int _idx)\fC [inline, protected]\fP"
.PP
Returns the fitness value of the _idx th individual of the population.
.PP
\fBParameters:\fP
.RS 4
\fI_idx\fP the index
.RE
.PP
.PP
Definition at line 187 of file moeoIndicatorBasedFitnessAssignment.h.
.PP
References moeoIndicatorBasedFitnessAssignment< MOEOT >::kappa, and moeoIndicatorBasedFitnessAssignment< MOEOT >::values.
.PP
Referenced by moeoIndicatorBasedFitnessAssignment< MOEOT >::setFitnesses().
.SH "Author"
.PP
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