merge ParadisEO-MOEO v-1.0

git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@400 331e1502-861f-0410-8da2-ba01fb791d7f
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liefooga 2007-06-26 13:28:59 +00:00
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.TH "moeoAdditiveEpsilonBinaryMetric" 3 "26 Jun 2007" "Version 1.0" "ParadisEO-MOEO" \" -*- nroff -*-
.ad l
.nh
.SH NAME
moeoAdditiveEpsilonBinaryMetric \- Additive epsilon binary metric allowing to compare two objective vectors as proposed in Zitzler E., Thiele L., Laumanns M., Fonseca C.
.PP
.SH SYNOPSIS
.br
.PP
\fC#include <moeoAdditiveEpsilonBinaryMetric.h>\fP
.PP
Inherits \fBmoeoNormalizedSolutionVsSolutionBinaryMetric< ObjectiveVector, double >\fP.
.PP
.SS "Public Member Functions"
.in +1c
.ti -1c
.RI "double \fBoperator()\fP (const ObjectiveVector &_o1, const ObjectiveVector &_o2)"
.br
.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"
.in -1c
.SS "Private Member Functions"
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.ti -1c
.RI "double \fBepsilon\fP (const ObjectiveVector &_o1, const ObjectiveVector &_o2, const unsigned int _obj)"
.br
.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"
.in -1c
.SH "Detailed Description"
.PP
.SS "template<class ObjectiveVector> class moeoAdditiveEpsilonBinaryMetric< ObjectiveVector >"
Additive epsilon binary metric allowing to compare two objective vectors as proposed in Zitzler E., Thiele L., Laumanns M., Fonseca C.
M., Grunert da Fonseca V.: Performance Assessment of Multiobjective Optimizers: An Analysis and Review. IEEE Transactions on Evolutionary Computation 7(2), pp.117132 (2003).
.PP
Definition at line 24 of file moeoAdditiveEpsilonBinaryMetric.h.
.SH "Member Function Documentation"
.PP
.SS "template<class ObjectiveVector> double \fBmoeoAdditiveEpsilonBinaryMetric\fP< ObjectiveVector >::operator() (const ObjectiveVector & _o1, const ObjectiveVector & _o2)\fC [inline]\fP"
.PP
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.
.PP
\fBWarning:\fP
.RS 4
don't forget to set the bounds for every objective before the call of this function
.RE
.PP
\fBParameters:\fP
.RS 4
\fI_o1\fP the first objective vector
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\fI_o2\fP the second objective vector
.RE
.PP
.PP
Definition at line 35 of file moeoAdditiveEpsilonBinaryMetric.h.
.PP
References moeoAdditiveEpsilonBinaryMetric< ObjectiveVector >::epsilon().
.SS "template<class ObjectiveVector> double \fBmoeoAdditiveEpsilonBinaryMetric\fP< ObjectiveVector >::epsilon (const ObjectiveVector & _o1, const ObjectiveVector & _o2, const unsigned int _obj)\fC [inline, private]\fP"
.PP
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.
.PP
\fBParameters:\fP
.RS 4
\fI_o1\fP the first objective vector
.br
\fI_o2\fP the second objective vector
.br
\fI_obj\fP the index of the objective
.RE
.PP
.PP
Definition at line 64 of file moeoAdditiveEpsilonBinaryMetric.h.
.PP
References moeoNormalizedSolutionVsSolutionBinaryMetric< ObjectiveVector, double >::bounds.
.PP
Referenced by moeoAdditiveEpsilonBinaryMetric< ObjectiveVector >::operator()().
.SH "Author"
.PP
Generated automatically by Doxygen for ParadisEO-MOEO from the source code.