git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@397 331e1502-861f-0410-8da2-ba01fb791d7f
231 lines
8 KiB
Groff
231 lines
8 KiB
Groff
.TH "moeoIBEA" 3 "26 Jun 2007" "Version 1.0" "ParadisEO-MOEO" \" -*- nroff -*-
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.ad l
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.nh
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.SH NAME
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moeoIBEA \- IBEA (Indicator-Based Evolutionary Algorithm) as described in: E.
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.PP
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.SH SYNOPSIS
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.br
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.PP
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\fC#include <moeoIBEA.h>\fP
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.PP
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Inherits \fBmoeoEA< 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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.br
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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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.ti -1c
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.RI "\fBmoeoIBEA\fP (unsigned int _maxGen, \fBeoEvalFunc\fP< MOEOT > &_eval, \fBeoGenOp\fP< MOEOT > &_op, \fBmoeoNormalizedSolutionVsSolutionBinaryMetric\fP< \fBObjectiveVector\fP, double > &_metric, const double _kappa=0.05)"
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.br
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.RI "\fISimple ctor with a \fBeoGenOp\fP. \fP"
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.ti -1c
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.RI "\fBmoeoIBEA\fP (unsigned int _maxGen, \fBeoEvalFunc\fP< MOEOT > &_eval, \fBeoTransform\fP< MOEOT > &_op, \fBmoeoNormalizedSolutionVsSolutionBinaryMetric\fP< \fBObjectiveVector\fP, double > &_metric, const double _kappa=0.05)"
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.br
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.RI "\fISimple ctor with a \fBeoTransform\fP. \fP"
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.ti -1c
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.RI "\fBmoeoIBEA\fP (unsigned int _maxGen, \fBeoEvalFunc\fP< MOEOT > &_eval, \fBeoQuadOp\fP< MOEOT > &_crossover, double _pCross, \fBeoMonOp\fP< MOEOT > &_mutation, double _pMut, \fBmoeoNormalizedSolutionVsSolutionBinaryMetric\fP< \fBObjectiveVector\fP, double > &_metric, const double _kappa=0.05)"
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.br
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.RI "\fICtor with a crossover, a mutation and their corresponding rates. \fP"
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.ti -1c
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.RI "\fBmoeoIBEA\fP (\fBeoContinue\fP< MOEOT > &_continuator, \fBeoEvalFunc\fP< MOEOT > &_eval, \fBeoGenOp\fP< MOEOT > &_op, \fBmoeoNormalizedSolutionVsSolutionBinaryMetric\fP< \fBObjectiveVector\fP, double > &_metric, const double _kappa=0.05)"
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.br
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.RI "\fICtor with a continuator (instead of _maxGen) and a \fBeoGenOp\fP. \fP"
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.ti -1c
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.RI "\fBmoeoIBEA\fP (\fBeoContinue\fP< MOEOT > &_continuator, \fBeoEvalFunc\fP< MOEOT > &_eval, \fBeoTransform\fP< MOEOT > &_op, \fBmoeoNormalizedSolutionVsSolutionBinaryMetric\fP< \fBObjectiveVector\fP, double > &_metric, const double _kappa=0.05)"
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.br
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.RI "\fICtor with a continuator (instead of _maxGen) and a \fBeoTransform\fP. \fP"
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.ti -1c
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.RI "virtual void \fBoperator()\fP (\fBeoPop\fP< MOEOT > &_pop)"
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.br
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.RI "\fIApply a few generation of evolution to the population _pop until the stopping criteria is verified. \fP"
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.in -1c
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.SS "Protected Attributes"
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.in +1c
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.ti -1c
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.RI "\fBeoGenContinue\fP< MOEOT > \fBdefaultGenContinuator\fP"
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.br
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.RI "\fIa continuator based on the number of generations (used as default) \fP"
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.ti -1c
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.RI "\fBeoContinue\fP< MOEOT > & \fBcontinuator\fP"
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.br
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.RI "\fIstopping criteria \fP"
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.ti -1c
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.RI "\fBeoPopLoopEval\fP< MOEOT > \fBpopEval\fP"
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.br
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.RI "\fIevaluation function used to evaluate the whole population \fP"
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.ti -1c
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.RI "\fBmoeoDetTournamentSelect\fP< MOEOT > \fBselect\fP"
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.br
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.RI "\fIbinary tournament selection \fP"
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.ti -1c
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.RI "\fBmoeoIndicatorBasedFitnessAssignment\fP< MOEOT > \fBfitnessAssignment\fP"
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.br
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.RI "\fIfitness assignment used in IBEA \fP"
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.ti -1c
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.RI "\fBmoeoDummyDiversityAssignment\fP< MOEOT > \fBdummyDiversityAssignment\fP"
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.br
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.RI "\fIdummy diversity assignment \fP"
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.ti -1c
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.RI "\fBmoeoEnvironmentalReplacement\fP< MOEOT > \fBreplace\fP"
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.br
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.RI "\fIelitist replacement \fP"
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.ti -1c
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.RI "\fBeoSGAGenOp\fP< MOEOT > \fBdefaultSGAGenOp\fP"
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.br
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.RI "\fIan object for genetic operators (used as default) \fP"
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.ti -1c
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.RI "\fBeoGeneralBreeder\fP< MOEOT > \fBgenBreed\fP"
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.br
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.RI "\fIgeneral breeder \fP"
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.ti -1c
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.RI "\fBeoBreed\fP< MOEOT > & \fBbreed\fP"
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.br
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.RI "\fIbreeder \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 moeoIBEA< MOEOT >"
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IBEA (Indicator-Based Evolutionary Algorithm) as described 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 class builds the IBEA algorithm only by using the fine-grained components of the ParadisEO-MOEO framework.
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.PP
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Definition at line 38 of file moeoIBEA.h.
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.SH "Constructor & Destructor Documentation"
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.PP
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.SS "template<class MOEOT> \fBmoeoIBEA\fP< MOEOT >::\fBmoeoIBEA\fP (unsigned int _maxGen, \fBeoEvalFunc\fP< MOEOT > & _eval, \fBeoGenOp\fP< MOEOT > & _op, \fBmoeoNormalizedSolutionVsSolutionBinaryMetric\fP< \fBObjectiveVector\fP, double > & _metric, const double _kappa = \fC0.05\fP)\fC [inline]\fP"
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.PP
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Simple ctor with a \fBeoGenOp\fP.
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.PP
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\fBParameters:\fP
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.RS 4
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\fI_maxGen\fP number of generations before stopping
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.br
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\fI_eval\fP evaluation function
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.br
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\fI_op\fP variation operator
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.br
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\fI_metric\fP metric
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.br
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\fI_kappa\fP scaling factor kappa
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.RE
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.PP
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.PP
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Definition at line 54 of file moeoIBEA.h.
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.SS "template<class MOEOT> \fBmoeoIBEA\fP< MOEOT >::\fBmoeoIBEA\fP (unsigned int _maxGen, \fBeoEvalFunc\fP< MOEOT > & _eval, \fBeoTransform\fP< MOEOT > & _op, \fBmoeoNormalizedSolutionVsSolutionBinaryMetric\fP< \fBObjectiveVector\fP, double > & _metric, const double _kappa = \fC0.05\fP)\fC [inline]\fP"
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.PP
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Simple ctor with a \fBeoTransform\fP.
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.PP
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\fBParameters:\fP
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.RS 4
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\fI_maxGen\fP number of generations before stopping
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.br
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\fI_eval\fP evaluation function
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.br
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\fI_op\fP variation operator
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.br
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\fI_metric\fP metric
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.br
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\fI_kappa\fP scaling factor kappa
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.RE
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.PP
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.PP
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Definition at line 68 of file moeoIBEA.h.
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.SS "template<class MOEOT> \fBmoeoIBEA\fP< MOEOT >::\fBmoeoIBEA\fP (unsigned int _maxGen, \fBeoEvalFunc\fP< MOEOT > & _eval, \fBeoQuadOp\fP< MOEOT > & _crossover, double _pCross, \fBeoMonOp\fP< MOEOT > & _mutation, double _pMut, \fBmoeoNormalizedSolutionVsSolutionBinaryMetric\fP< \fBObjectiveVector\fP, double > & _metric, const double _kappa = \fC0.05\fP)\fC [inline]\fP"
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.PP
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Ctor with a crossover, a mutation and their corresponding rates.
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.PP
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\fBParameters:\fP
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.RS 4
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\fI_maxGen\fP number of generations before stopping
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.br
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\fI_eval\fP evaluation function
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.br
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\fI_crossover\fP crossover
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.br
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\fI_pCross\fP crossover probability
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.br
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\fI_mutation\fP mutation
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.br
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\fI_pMut\fP mutation probability
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.br
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\fI_metric\fP metric
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.br
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\fI_kappa\fP scaling factor kappa
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.RE
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.PP
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.PP
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Definition at line 85 of file moeoIBEA.h.
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.SS "template<class MOEOT> \fBmoeoIBEA\fP< MOEOT >::\fBmoeoIBEA\fP (\fBeoContinue\fP< MOEOT > & _continuator, \fBeoEvalFunc\fP< MOEOT > & _eval, \fBeoGenOp\fP< MOEOT > & _op, \fBmoeoNormalizedSolutionVsSolutionBinaryMetric\fP< \fBObjectiveVector\fP, double > & _metric, const double _kappa = \fC0.05\fP)\fC [inline]\fP"
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.PP
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Ctor with a continuator (instead of _maxGen) and a \fBeoGenOp\fP.
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.PP
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\fBParameters:\fP
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.RS 4
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\fI_continuator\fP stopping criteria
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.br
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\fI_eval\fP evaluation function
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.br
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\fI_op\fP variation operator
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.br
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\fI_metric\fP metric
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.br
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\fI_kappa\fP scaling factor kappa
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.RE
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.PP
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.PP
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Definition at line 100 of file moeoIBEA.h.
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.SS "template<class MOEOT> \fBmoeoIBEA\fP< MOEOT >::\fBmoeoIBEA\fP (\fBeoContinue\fP< MOEOT > & _continuator, \fBeoEvalFunc\fP< MOEOT > & _eval, \fBeoTransform\fP< MOEOT > & _op, \fBmoeoNormalizedSolutionVsSolutionBinaryMetric\fP< \fBObjectiveVector\fP, double > & _metric, const double _kappa = \fC0.05\fP)\fC [inline]\fP"
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.PP
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Ctor with a continuator (instead of _maxGen) and a \fBeoTransform\fP.
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.PP
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\fBParameters:\fP
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.RS 4
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\fI_continuator\fP stopping criteria
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.br
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\fI_eval\fP evaluation function
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.br
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\fI_op\fP variation operator
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.br
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\fI_metric\fP metric
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.br
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\fI_kappa\fP scaling factor kappa
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.RE
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.PP
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.PP
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Definition at line 114 of file moeoIBEA.h.
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.SH "Member Function Documentation"
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.PP
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.SS "template<class MOEOT> virtual void \fBmoeoIBEA\fP< MOEOT >::operator() (\fBeoPop\fP< MOEOT > & _pop)\fC [inline, virtual]\fP"
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.PP
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Apply a few generation of evolution to the population _pop until the stopping criteria is verified.
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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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.PP
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Definition at line 124 of file moeoIBEA.h.
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.PP
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References moeoIBEA< MOEOT >::breed, moeoIBEA< MOEOT >::continuator, moeoIBEA< MOEOT >::dummyDiversityAssignment, moeoIBEA< MOEOT >::fitnessAssignment, moeoIBEA< MOEOT >::popEval, and moeoIBEA< MOEOT >::replace.
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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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