\section{eo\-Stochastic\-Universal\-Select$<$ EOT $>$ Class Template Reference} \label{classeo_stochastic_universal_select}\index{eoStochasticUniversalSelect@{eoStochasticUniversalSelect}} eo\-Stochastic\-Universal\-Select: select an individual proportional to her stored fitness value, but in contrast with eo\-Stochastic\-Universal\-Select, get rid of most finite sampling effects by doing all selections in one go, using a single random number. {\tt \#include $<$eo\-Stochastic\-Universal\-Select.h$>$} Inheritance diagram for eo\-Stochastic\-Universal\-Select$<$ EOT $>$::\begin{figure}[H] \begin{center} \leavevmode \includegraphics[height=3.23699cm]{classeo_stochastic_universal_select} \end{center} \end{figure} \subsection*{Public Member Functions} \begin{CompactItemize} \item {\bf eo\-Stochastic\-Universal\-Select} (const {\bf eo\-Pop}$<$ {\bf EOT} $>$ \&pop={\bf eo\-Pop}$<$ {\bf EOT} $>$())\label{classeo_stochastic_universal_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_stochastic_universal_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_stochastic_universal_select_a2} \begin{CompactList}\small\item\em do the selection, \item\end{CompactList}\end{CompactItemize} \subsection*{Private Types} \begin{CompactItemize} \item typedef std::vector$<$ unsigned $>$ {\bf Index\-Vec}\label{classeo_stochastic_universal_select_y0} \end{CompactItemize} \subsection*{Private Attributes} \begin{CompactItemize} \item Index\-Vec {\bf indices}\label{classeo_stochastic_universal_select_r0} \end{CompactItemize} \subsection{Detailed Description} \subsubsection*{template$<$class EOT$>$ class eo\-Stochastic\-Universal\-Select$<$ EOT $>$} eo\-Stochastic\-Universal\-Select: select an individual proportional to her stored fitness value, but in contrast with eo\-Stochastic\-Universal\-Select, get rid of most finite sampling effects by doing all selections in one go, using a single random number. Definition at line 44 of file eo\-Stochastic\-Universal\-Select.h. The documentation for this class was generated from the following file:\begin{CompactItemize} \item eo\-Stochastic\-Universal\-Select.h\end{CompactItemize}