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merge ParadisEO-MOEO v-1.0

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.TH "moeoNormalizedSolutionVsSolutionBinaryMetric" 3 "26 Jun 2007" "Version 1.0" "ParadisEO-MOEO" \" -*- nroff -*-
.ad l
.nh
.SH NAME
moeoNormalizedSolutionVsSolutionBinaryMetric \- Base class for binary metrics dedicated to the performance comparison between two solutions's objective vectors using normalized values.
.PP
.SH SYNOPSIS
.br
.PP
\fC#include <moeoNormalizedSolutionVsSolutionBinaryMetric.h>\fP
.PP
Inherits \fBmoeoSolutionVsSolutionBinaryMetric< ObjectiveVector, R >< ObjectiveVector, R >\fP.
.PP
.SS "Public Member Functions"
.in +1c
.ti -1c
.RI "\fBmoeoNormalizedSolutionVsSolutionBinaryMetric\fP ()"
.br
.RI "\fIDefault ctr for any \fBmoeoNormalizedSolutionVsSolutionBinaryMetric\fP object. \fP"
.ti -1c
.RI "void \fBsetup\fP (double _min, double _max, unsigned int _obj)"
.br
.RI "\fISets the lower bound (_min) and the upper bound (_max) for the objective _obj. \fP"
.ti -1c
.RI "virtual void \fBsetup\fP (\fBeoRealInterval\fP _realInterval, unsigned int _obj)"
.br
.RI "\fISets the lower bound and the upper bound for the objective _obj using a \fBeoRealInterval\fP object. \fP"
.in -1c
.SS "Static Public Member Functions"
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.ti -1c
.RI "static double \fBtiny\fP ()"
.br
.RI "\fIReturns a very small value that can be used to avoid extreme cases (where the min bound == the max bound). \fP"
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.SS "Protected Attributes"
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.RI "std::vector< \fBeoRealInterval\fP > \fBbounds\fP"
.br
.RI "\fIthe bounds for every objective (bounds[i] = bounds for the objective i) \fP"
.in -1c
.SH "Detailed Description"
.PP
.SS "template<class ObjectiveVector, class R> class moeoNormalizedSolutionVsSolutionBinaryMetric< ObjectiveVector, R >"
Base class for binary metrics dedicated to the performance comparison between two solutions's objective vectors using normalized values.
Then, indicator values lie in the interval [-1,1]. Note that you have to set the bounds for every objective before using the operator().
.PP
Definition at line 26 of file moeoNormalizedSolutionVsSolutionBinaryMetric.h.
.SH "Member Function Documentation"
.PP
.SS "template<class ObjectiveVector, class R> void \fBmoeoNormalizedSolutionVsSolutionBinaryMetric\fP< ObjectiveVector, R >::setup (double _min, double _max, unsigned int _obj)\fC [inline]\fP"
.PP
Sets the lower bound (_min) and the upper bound (_max) for the objective _obj.
.PP
\fBParameters:\fP
.RS 4
\fI_min\fP lower bound
.br
\fI_max\fP upper bound
.br
\fI_obj\fP the objective index
.RE
.PP
.PP
Definition at line 50 of file moeoNormalizedSolutionVsSolutionBinaryMetric.h.
.PP
Referenced by moeoIndicatorBasedFitnessAssignment< MOEOT >::setup().
.SS "template<class ObjectiveVector, class R> virtual void \fBmoeoNormalizedSolutionVsSolutionBinaryMetric\fP< ObjectiveVector, R >::setup (\fBeoRealInterval\fP _realInterval, unsigned int _obj)\fC [inline, virtual]\fP"
.PP
Sets the lower bound and the upper bound for the objective _obj using a \fBeoRealInterval\fP object.
.PP
\fBParameters:\fP
.RS 4
\fI_realInterval\fP the \fBeoRealInterval\fP object
.br
\fI_obj\fP the objective index
.RE
.PP
.PP
Definition at line 66 of file moeoNormalizedSolutionVsSolutionBinaryMetric.h.
.SH "Author"
.PP
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