.TH "moeoNormalizedDistance" 3 "26 Jun 2007" "Version 1.0" "ParadisEO-MOEO" \" -*- nroff -*-
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.SH NAME
moeoNormalizedDistance \- The base class for double distance computation with normalized objective values (i.e.  

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.SH SYNOPSIS
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\fC#include <moeoNormalizedDistance.h>\fP
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Inherits \fBmoeoDistance< MOEOT, Type >< MOEOT, Type >\fP.
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.SS "Public Types"

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.RI "typedef MOEOT::ObjectiveVector \fBObjectiveVector\fP"
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.RI "\fIthe objective vector type of the solutions \fP"
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.SS "Public Member Functions"

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.RI "\fBmoeoNormalizedDistance\fP ()"
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.RI "\fIDefault ctr. \fP"
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.RI "virtual void \fBsetup\fP (const \fBeoPop\fP< MOEOT > &_pop)"
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.RI "\fISets the lower and the upper bounds for every objective using extremes values for solutions contained in the population _pop. \fP"
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.RI "virtual void \fBsetup\fP (double _min, double _max, unsigned int _obj)"
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.RI "\fISets the lower bound (_min) and the upper bound (_max) for the objective _obj. \fP"
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.RI "virtual void \fBsetup\fP (\fBeoRealInterval\fP _realInterval, unsigned int _obj)"
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.RI "\fISets the lower bound and the upper bound for the objective _obj using a \fBeoRealInterval\fP object. \fP"
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.SS "Static Public Member Functions"

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.RI "static double \fBtiny\fP ()"
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.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"
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.RI "\fIthe bounds for every objective (bounds[i] = bounds for the objective i) \fP"
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.SH "Detailed Description"
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.SS "template<class MOEOT, class Type = double> class moeoNormalizedDistance< MOEOT, Type >"
The base class for double distance computation with normalized objective values (i.e. 

between 0 and 1). 
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Definition at line 24 of file moeoNormalizedDistance.h.
.SH "Member Function Documentation"
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.SS "template<class MOEOT, class Type = double> virtual void \fBmoeoNormalizedDistance\fP< MOEOT, Type >::setup (const \fBeoPop\fP< MOEOT > & _pop)\fC [inline, virtual]\fP"
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Sets the lower and the upper bounds for every objective using extremes values for solutions contained in the population _pop. 
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\fBParameters:\fP
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\fI_pop\fP the population 
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Reimplemented from \fBmoeoDistance< MOEOT, Type >\fP.
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Definition at line 59 of file moeoNormalizedDistance.h.
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Referenced by moeoNormalizedDistance< MOEOT >::setup().
.SS "template<class MOEOT, class Type = double> virtual void \fBmoeoNormalizedDistance\fP< MOEOT, Type >::setup (double _min, double _max, unsigned int _obj)\fC [inline, virtual]\fP"
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Sets the lower bound (_min) and the upper bound (_max) for the objective _obj. 
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\fBParameters:\fP
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\fI_min\fP lower bound 
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\fI_max\fP upper bound 
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\fI_obj\fP the objective index 
.RE
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Reimplemented from \fBmoeoDistance< MOEOT, Type >\fP.
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Definition at line 83 of file moeoNormalizedDistance.h.
.SS "template<class MOEOT, class Type = double> virtual void \fBmoeoNormalizedDistance\fP< MOEOT, Type >::setup (\fBeoRealInterval\fP _realInterval, unsigned int _obj)\fC [inline, virtual]\fP"
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Sets the lower bound and the upper bound for the objective _obj using a \fBeoRealInterval\fP object. 
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\fBParameters:\fP
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\fI_realInterval\fP the \fBeoRealInterval\fP object 
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\fI_obj\fP the objective index 
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Reimplemented from \fBmoeoDistance< MOEOT, Type >\fP.
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Definition at line 99 of file moeoNormalizedDistance.h.

.SH "Author"
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