c3aec878e5
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@40 331e1502-861f-0410-8da2-ba01fb791d7f
51 lines
2.4 KiB
TeX
51 lines
2.4 KiB
TeX
\section{eo\-Stochastic\-Universal\-Select$<$ EOT $>$ Class Template Reference}
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\label{classeo_stochastic_universal_select}\index{eoStochasticUniversalSelect@{eoStochasticUniversalSelect}}
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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.
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{\tt \#include $<$eo\-Stochastic\-Universal\-Select.h$>$}
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Inheritance diagram for eo\-Stochastic\-Universal\-Select$<$ EOT $>$::\begin{figure}[H]
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\begin{center}
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\leavevmode
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\includegraphics[height=3.23699cm]{classeo_stochastic_universal_select}
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\end{center}
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\end{figure}
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\subsection*{Public Member Functions}
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\begin{CompactItemize}
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\item
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{\bf eo\-Stochastic\-Universal\-Select} (const {\bf eo\-Pop}$<$ {\bf EOT} $>$ \&pop={\bf eo\-Pop}$<$ {\bf EOT} $>$())\label{classeo_stochastic_universal_select_a0}
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\begin{CompactList}\small\item\em Sanity check. \item\end{CompactList}\item
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void {\bf setup} (const {\bf eo\-Pop}$<$ {\bf EOT} $>$ \&\_\-pop)\label{classeo_stochastic_universal_select_a1}
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\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
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const {\bf EOT} \& {\bf operator()} (const {\bf eo\-Pop}$<$ {\bf EOT} $>$ \&\_\-pop)\label{classeo_stochastic_universal_select_a2}
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\begin{CompactList}\small\item\em do the selection, \item\end{CompactList}\end{CompactItemize}
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\subsection*{Private Types}
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\begin{CompactItemize}
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\item
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typedef std::vector$<$ unsigned $>$ {\bf Index\-Vec}\label{classeo_stochastic_universal_select_y0}
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\end{CompactItemize}
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\subsection*{Private Attributes}
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\begin{CompactItemize}
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\item
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Index\-Vec {\bf indices}\label{classeo_stochastic_universal_select_r0}
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\end{CompactItemize}
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\subsection{Detailed Description}
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\subsubsection*{template$<$class EOT$>$ class eo\-Stochastic\-Universal\-Select$<$ EOT $>$}
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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.
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Definition at line 44 of file eo\-Stochastic\-Universal\-Select.h.
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The documentation for this class was generated from the following file:\begin{CompactItemize}
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\item
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eo\-Stochastic\-Universal\-Select.h\end{CompactItemize}
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