\section{moeo\-Normalized\-Solution\-Vs\-Solution\-Binary\-Metric$<$ Objective\-Vector, R $>$ Class Template Reference}
\label{classmoeoNormalizedSolutionVsSolutionBinaryMetric}\index{moeoNormalizedSolutionVsSolutionBinaryMetric@{moeoNormalizedSolutionVsSolutionBinaryMetric}}
Base class for binary metrics dedicated to the performance comparison between two solutions's objective vectors using normalized values.  


{\tt \#include $<$moeo\-Normalized\-Solution\-Vs\-Solution\-Binary\-Metric.h$>$}

Inheritance diagram for moeo\-Normalized\-Solution\-Vs\-Solution\-Binary\-Metric$<$ Objective\-Vector, R $>$::\begin{figure}[H]
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\includegraphics[height=3.30189cm]{classmoeoNormalizedSolutionVsSolutionBinaryMetric}
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\subsection*{Public Member Functions}
\begin{CompactItemize}
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{\bf moeo\-Normalized\-Solution\-Vs\-Solution\-Binary\-Metric} ()\label{classmoeoNormalizedSolutionVsSolutionBinaryMetric_e58174a553269d3e8b0685a1f22b8333}

\begin{CompactList}\small\item\em Default ctr for any \doxyref{moeo\-Normalized\-Solution\-Vs\-Solution\-Binary\-Metric}{p.}{classmoeoNormalizedSolutionVsSolutionBinaryMetric} object. \item\end{CompactList}\item 
void {\bf setup} (double \_\-min, double \_\-max, unsigned \_\-obj)\label{classmoeoNormalizedSolutionVsSolutionBinaryMetric_4483614f6a7922b56cfec290afb36afd}

\begin{CompactList}\small\item\em Sets the lower bound (\_\-min) and the upper bound (\_\-max) for the objective \_\-obj \_\-min lower bound \_\-max upper bound \_\-obj the objective index. \item\end{CompactList}\item 
virtual void {\bf setup} ({\bf eo\-Real\-Interval} \_\-real\-Interval, unsigned \_\-obj)\label{classmoeoNormalizedSolutionVsSolutionBinaryMetric_5e72d2dd299c9f7b8b3a8ad09e165e6c}

\begin{CompactList}\small\item\em Sets the lower bound and the upper bound for the objective \_\-obj using a {\bf eo\-Real\-Interval} object \_\-real\-Interval the {\bf eo\-Real\-Interval} object \_\-obj the objective index. \item\end{CompactList}\end{CompactItemize}
\subsection*{Static Public Member Functions}
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static double {\bf tiny} ()\label{classmoeoNormalizedSolutionVsSolutionBinaryMetric_d0ccbdceb71b9d2d6ae8ceec1af9dcdb}

\begin{CompactList}\small\item\em Returns a very small value that can be used to avoid extreme cases (where the min bound == the max bound). \item\end{CompactList}\end{CompactItemize}
\subsection*{Protected Attributes}
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std::vector$<$ {\bf eo\-Real\-Interval} $>$ {\bf bounds}\label{classmoeoNormalizedSolutionVsSolutionBinaryMetric_81bff9a83c74f7f7f8a1db28c09c4c38}

\begin{CompactList}\small\item\em the bounds for every objective (bounds[i] = bounds for the objective i) \item\end{CompactList}\end{CompactItemize}


\subsection{Detailed Description}
\subsubsection*{template$<$class Objective\-Vector, class R$>$ class moeo\-Normalized\-Solution\-Vs\-Solution\-Binary\-Metric$<$ Objective\-Vector, 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(). 



Definition at line 26 of file moeo\-Normalized\-Solution\-Vs\-Solution\-Binary\-Metric.h.

The documentation for this class was generated from the following file:\begin{CompactItemize}
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moeo\-Normalized\-Solution\-Vs\-Solution\-Binary\-Metric.h\end{CompactItemize}