\section{eo\-Proportional\-Select$<$ EOT $>$ Class Template Reference}
\label{classeo_proportional_select}\index{eoProportionalSelect@{eoProportionalSelect}}
eo\-Proportional\-Select: select an individual proportional to her stored fitness value  


{\tt \#include $<$eo\-Proportional\-Select.h$>$}

Inheritance diagram for eo\-Proportional\-Select$<$ EOT $>$::\begin{figure}[H]
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\subsection*{Public Member Functions}
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{\bf eo\-Proportional\-Select} (const {\bf eo\-Pop}$<$ {\bf EOT} $>$ \&pop={\bf eo\-Pop}$<$ {\bf EOT} $>$())\label{classeo_proportional_select_a0}

\begin{CompactList}\small\item\em Sanity check. \item\end{CompactList}\item 
void {\bf setup} (const {\bf eo\-Pop}$<$ {\bf EOT} $>$ \&\_\-pop)\label{classeo_proportional_select_a1}

\begin{CompactList}\small\item\em virtual function to setup some population stats (for instance eo\-Proportional can benefit greatly from this) \item\end{CompactList}\item 
const {\bf EOT} \& {\bf operator()} (const {\bf eo\-Pop}$<$ {\bf EOT} $>$ \&\_\-pop)\label{classeo_proportional_select_a2}

\begin{CompactList}\small\item\em do the selection, \item\end{CompactList}\end{CompactItemize}
\subsection*{Private Types}
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typedef std::vector$<$ typename EOT::Fitness $>$ {\bf Fit\-Vec}\label{classeo_proportional_select_y0}

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\subsection*{Private Attributes}
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Fit\-Vec {\bf cumulative}\label{classeo_proportional_select_r0}

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\subsection{Detailed Description}
\subsubsection*{template$<$class EOT$>$ class eo\-Proportional\-Select$<$ EOT $>$}

eo\-Proportional\-Select: select an individual proportional to her stored fitness value 

Changed the algorithm to make use of a cumulative array of fitness scores, This changes the algorithm from O(n) per call to O(log n) per call. (MK) 



Definition at line 45 of file eo\-Proportional\-Select.h.

The documentation for this class was generated from the following file:\begin{CompactItemize}
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eo\-Proportional\-Select.h\end{CompactItemize}