b1d6dd41c0
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@397 331e1502-861f-0410-8da2-ba01fb791d7f
86 lines
3.2 KiB
Groff
86 lines
3.2 KiB
Groff
.TH "moeoAdditiveEpsilonBinaryMetric" 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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moeoAdditiveEpsilonBinaryMetric \- Additive epsilon binary metric allowing to compare two objective vectors as proposed in Zitzler E., Thiele L., Laumanns M., Fonseca C.
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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 <moeoAdditiveEpsilonBinaryMetric.h>\fP
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.PP
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Inherits \fBmoeoNormalizedSolutionVsSolutionBinaryMetric< 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 ObjectiveVector &_o1, const ObjectiveVector &_o2)"
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.br
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.RI "\fIReturns the minimal distance by which the objective vector _o1 must be translated in all objectives so that it weakly dominates the objective vector _o2. \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 "double \fBepsilon\fP (const ObjectiveVector &_o1, const ObjectiveVector &_o2, const unsigned int _obj)"
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.br
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.RI "\fIReturns the epsilon value by which the objective vector _o1 must be translated in the objective _obj so that it dominates the objective vector _o2. \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 moeoAdditiveEpsilonBinaryMetric< ObjectiveVector >"
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Additive epsilon binary metric allowing to compare two objective vectors as proposed in Zitzler E., Thiele L., Laumanns M., Fonseca C.
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M., Grunert da Fonseca V.: Performance Assessment of Multiobjective Optimizers: An Analysis and Review. IEEE Transactions on Evolutionary Computation 7(2), pp.117–132 (2003).
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.PP
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Definition at line 24 of file moeoAdditiveEpsilonBinaryMetric.h.
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.SH "Member Function Documentation"
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.PP
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.SS "template<class ObjectiveVector> double \fBmoeoAdditiveEpsilonBinaryMetric\fP< ObjectiveVector >::operator() (const ObjectiveVector & _o1, const ObjectiveVector & _o2)\fC [inline]\fP"
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.PP
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Returns the minimal distance by which the objective vector _o1 must be translated in all objectives so that it weakly dominates the objective vector _o2.
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.PP
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\fBWarning:\fP
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.RS 4
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don't forget to set the bounds for every objective before the call of this function
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.RE
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.PP
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\fBParameters:\fP
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.RS 4
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\fI_o1\fP the first objective vector
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.br
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\fI_o2\fP the second objective vector
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.RE
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.PP
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.PP
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Definition at line 35 of file moeoAdditiveEpsilonBinaryMetric.h.
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.PP
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References moeoAdditiveEpsilonBinaryMetric< ObjectiveVector >::epsilon().
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.SS "template<class ObjectiveVector> double \fBmoeoAdditiveEpsilonBinaryMetric\fP< ObjectiveVector >::epsilon (const ObjectiveVector & _o1, const ObjectiveVector & _o2, const unsigned int _obj)\fC [inline, private]\fP"
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.PP
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Returns the epsilon value by which the objective vector _o1 must be translated in the objective _obj so that it dominates the objective vector _o2.
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.PP
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\fBParameters:\fP
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.RS 4
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\fI_o1\fP the first objective vector
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.br
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\fI_o2\fP the second objective vector
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.br
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\fI_obj\fP the index of the objective
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.RE
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.PP
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.PP
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Definition at line 64 of file moeoAdditiveEpsilonBinaryMetric.h.
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.PP
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References moeoNormalizedSolutionVsSolutionBinaryMetric< ObjectiveVector, double >::bounds.
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.PP
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Referenced by moeoAdditiveEpsilonBinaryMetric< 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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