git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@397 331e1502-861f-0410-8da2-ba01fb791d7f
163 lines
5.4 KiB
Groff
163 lines
5.4 KiB
Groff
.TH "moeoEntropyMetric" 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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moeoEntropyMetric \- The entropy gives an idea of the diversity of a Pareto set relatively to another (Basseur, Seynhaeve, Talbi: 'Design of Multi-objective Evolutionary Algorithms: Application to the Flow-shop Scheduling Problem', in Proc.
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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 <moeoEntropyMetric.h>\fP
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.PP
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Inherits \fBmoeoVectorVsVectorBinaryMetric< ObjectiveVector, double >\fP.
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.PP
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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 "double \fBoperator()\fP (const std::vector< ObjectiveVector > &_set1, const std::vector< ObjectiveVector > &_set2)"
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.br
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.RI "\fIReturns the entropy of the Pareto set '_set1' relatively to the Pareto set '_set2'. \fP"
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.in -1c
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.SS "Private Member Functions"
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.in +1c
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.ti -1c
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.RI "void \fBremoveDominated\fP (std::vector< ObjectiveVector > &_f)"
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.br
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.RI "\fIRemoves the dominated individuals contained in _f. \fP"
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.ti -1c
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.RI "void \fBprenormalize\fP (const std::vector< ObjectiveVector > &_f)"
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.br
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.RI "\fIPrenormalization. \fP"
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.ti -1c
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.RI "void \fBnormalize\fP (std::vector< ObjectiveVector > &_f)"
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.br
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.RI "\fINormalization. \fP"
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.ti -1c
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.RI "void \fBcomputeUnion\fP (const std::vector< ObjectiveVector > &_f1, const std::vector< ObjectiveVector > &_f2, std::vector< ObjectiveVector > &_f)"
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.br
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.RI "\fIComputation of the union of _f1 and _f2 in _f. \fP"
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.ti -1c
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.RI "unsigned int \fBhowManyInNicheOf\fP (const std::vector< ObjectiveVector > &_f, const ObjectiveVector &_s, unsigned int _size)"
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.br
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.RI "\fIHow many in niche. \fP"
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.ti -1c
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.RI "double \fBeuclidianDistance\fP (const ObjectiveVector &_set1, const ObjectiveVector &_to, unsigned int _deg=2)"
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.br
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.RI "\fIEuclidian distance. \fP"
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.in -1c
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.SS "Private Attributes"
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.in +1c
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.ti -1c
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.RI "std::vector< double > \fBvect_min_val\fP"
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.br
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.RI "\fIvector of min values \fP"
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.ti -1c
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.RI "std::vector< double > \fBvect_max_val\fP"
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.br
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.RI "\fIvector of max values \fP"
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.ti -1c
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.RI "\fBmoeoParetoObjectiveVectorComparator\fP< ObjectiveVector > \fBparetoComparator\fP"
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.br
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.RI "\fIFunctor to compare two objective vectors according to Pareto dominance relation. \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 ObjectiveVector> class moeoEntropyMetric< ObjectiveVector >"
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The entropy gives an idea of the diversity of a Pareto set relatively to another (Basseur, Seynhaeve, Talbi: 'Design of Multi-objective Evolutionary Algorithms: Application to the Flow-shop Scheduling Problem', in Proc.
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of the 2002 Congress on Evolutionary Computation, IEEE Press, pp. 1155-1156)
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.PP
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Definition at line 25 of file moeoEntropyMetric.h.
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.SH "Member Function Documentation"
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.PP
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.SS "template<class ObjectiveVector> double \fBmoeoEntropyMetric\fP< ObjectiveVector >::operator() (const std::vector< ObjectiveVector > & _set1, const std::vector< ObjectiveVector > & _set2)\fC [inline]\fP"
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.PP
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Returns the entropy of the Pareto set '_set1' relatively to the Pareto set '_set2'.
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.PP
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\fBParameters:\fP
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.RS 4
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\fI_set1\fP the first Pareto set
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.br
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\fI_set2\fP the second Pareto set
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.RE
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.PP
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.PP
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Definition at line 34 of file moeoEntropyMetric.h.
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.PP
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References moeoEntropyMetric< ObjectiveVector >::computeUnion(), moeoEntropyMetric< ObjectiveVector >::howManyInNicheOf(), moeoEntropyMetric< ObjectiveVector >::normalize(), moeoEntropyMetric< ObjectiveVector >::prenormalize(), and moeoEntropyMetric< ObjectiveVector >::removeDominated().
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.SS "template<class ObjectiveVector> void \fBmoeoEntropyMetric\fP< ObjectiveVector >::removeDominated (std::vector< ObjectiveVector > & _f)\fC [inline, private]\fP"
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.PP
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Removes the dominated individuals contained in _f.
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.PP
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\fBParameters:\fP
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.RS 4
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\fI_f\fP a Pareto set
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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 moeoEntropyMetric.h.
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.PP
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References moeoEntropyMetric< ObjectiveVector >::paretoComparator.
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.PP
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Referenced by moeoEntropyMetric< ObjectiveVector >::operator()().
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.SS "template<class ObjectiveVector> void \fBmoeoEntropyMetric\fP< ObjectiveVector >::prenormalize (const std::vector< ObjectiveVector > & _f)\fC [inline, private]\fP"
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.PP
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Prenormalization.
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.PP
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\fBParameters:\fP
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.RS 4
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\fI_f\fP a Pareto set
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.RE
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.PP
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.PP
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Definition at line 107 of file moeoEntropyMetric.h.
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.PP
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References moeoEntropyMetric< ObjectiveVector >::vect_max_val, and moeoEntropyMetric< ObjectiveVector >::vect_min_val.
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.PP
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Referenced by moeoEntropyMetric< ObjectiveVector >::operator()().
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.SS "template<class ObjectiveVector> void \fBmoeoEntropyMetric\fP< ObjectiveVector >::normalize (std::vector< ObjectiveVector > & _f)\fC [inline, private]\fP"
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.PP
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Normalization.
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.PP
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\fBParameters:\fP
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.RS 4
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\fI_f\fP a Pareto set
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.RE
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.PP
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.PP
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Definition at line 129 of file moeoEntropyMetric.h.
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.PP
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References moeoEntropyMetric< ObjectiveVector >::vect_max_val, and moeoEntropyMetric< ObjectiveVector >::vect_min_val.
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.PP
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Referenced by moeoEntropyMetric< ObjectiveVector >::operator()().
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.SS "template<class ObjectiveVector> void \fBmoeoEntropyMetric\fP< ObjectiveVector >::computeUnion (const std::vector< ObjectiveVector > & _f1, const std::vector< ObjectiveVector > & _f2, std::vector< ObjectiveVector > & _f)\fC [inline, private]\fP"
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.PP
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Computation of the union of _f1 and _f2 in _f.
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.PP
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\fBParameters:\fP
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.RS 4
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\fI_f1\fP the first Pareto set
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.br
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\fI_f2\fP the second Pareto set
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.br
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\fI_f\fP the final Pareto set
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.RE
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.PP
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.PP
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Definition at line 142 of file moeoEntropyMetric.h.
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.PP
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Referenced by moeoEntropyMetric< ObjectiveVector >::operator()().
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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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