b0351ae298
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@157 331e1502-861f-0410-8da2-ba01fb791d7f
97 lines
5 KiB
TeX
97 lines
5 KiB
TeX
\section{eo\-IBEAStoch\-Sorting$<$ EOT, Fitness\-Eval $>$ Class Template Reference}
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\label{classeoIBEAStochSorting}\index{eoIBEAStochSorting@{eoIBEAStochSorting}}
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Functor The sorting phase of IBEA (Indicator-Based Evolutionary Algorithm) under uncertainty Adapted from the Basseur and Zitzler paper \char`\"{}Handling Uncertainty in Indicator-Based Multiobjective Optimization\char`\"{} (2006) Of course, the fitness of an individual needs to be an eo\-Stochastic\-Pareto\-Fitness object.
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{\tt \#include $<$eo\-IBEA.h$>$}
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Inheritance diagram for eo\-IBEAStoch\-Sorting$<$ EOT, Fitness\-Eval $>$::\begin{figure}[H]
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\begin{center}
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\leavevmode
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\includegraphics[height=6cm]{classeoIBEAStochSorting}
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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\-IBEAStoch\-Sorting} ({\bf eo\-Binary\-Quality\-Indicator}$<$ Fitness\-Eval $>$ $\ast$\_\-I)
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\begin{CompactList}\small\item\em constructor \item\end{CompactList}\end{CompactItemize}
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\subsection*{Private Member Functions}
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\begin{CompactItemize}
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\item
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void {\bf set\-Bounds} (const {\bf eo\-Pop}$<$ EOT $>$ \&\_\-pop)
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\begin{CompactList}\small\item\em computation and setting of the bounds for each objective \item\end{CompactList}\item
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void {\bf fitnesses} (const {\bf eo\-Pop}$<$ EOT $>$ \&\_\-pop)
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\begin{CompactList}\small\item\em computation and setting of the fitness for each individual of the population \item\end{CompactList}\end{CompactItemize}
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\subsection*{Static Private Member Functions}
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\begin{CompactItemize}
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\item
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static double {\bf zero} ()\label{classeoIBEAStochSorting_0cd3d638866730b7a8fdbd5a1c08c810}
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\begin{CompactList}\small\item\em approximated zero value \item\end{CompactList}\end{CompactItemize}
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\subsection{Detailed Description}
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\subsubsection*{template$<$class EOT, class Fitness\-Eval = typename EOT::Fitness::Fitness\-Eval$>$ class eo\-IBEAStoch\-Sorting$<$ EOT, Fitness\-Eval $>$}
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Functor The sorting phase of IBEA (Indicator-Based Evolutionary Algorithm) under uncertainty Adapted from the Basseur and Zitzler paper \char`\"{}Handling Uncertainty in Indicator-Based Multiobjective Optimization\char`\"{} (2006) Of course, the fitness of an individual needs to be an eo\-Stochastic\-Pareto\-Fitness object.
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Definition at line 215 of file eo\-IBEA.h.
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\subsection{Constructor \& Destructor Documentation}
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\index{eoIBEAStochSorting@{eo\-IBEAStoch\-Sorting}!eoIBEAStochSorting@{eoIBEAStochSorting}}
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\index{eoIBEAStochSorting@{eoIBEAStochSorting}!eoIBEAStochSorting@{eo\-IBEAStoch\-Sorting}}
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\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOT, class Fitness\-Eval = typename EOT::Fitness::Fitness\-Eval$>$ {\bf eo\-IBEAStoch\-Sorting}$<$ EOT, Fitness\-Eval $>$::{\bf eo\-IBEAStoch\-Sorting} ({\bf eo\-Binary\-Quality\-Indicator}$<$ Fitness\-Eval $>$ $\ast$ {\em \_\-I})\hspace{0.3cm}{\tt [inline]}}\label{classeoIBEAStochSorting_9d9775846e174bdbc9491856b23eb27d}
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constructor
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\begin{Desc}
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\item[Parameters:]
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\begin{description}
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\item[{\em eo\-Binary\-Quality\-Indicator$<$EOT$>$$\ast$}]\_\-I the binary quality indicator to use in the selection process \end{description}
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\end{Desc}
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Definition at line 226 of file eo\-IBEA.h.
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\subsection{Member Function Documentation}
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\index{eoIBEAStochSorting@{eo\-IBEAStoch\-Sorting}!setBounds@{setBounds}}
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\index{setBounds@{setBounds}!eoIBEAStochSorting@{eo\-IBEAStoch\-Sorting}}
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\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOT, class Fitness\-Eval = typename EOT::Fitness::Fitness\-Eval$>$ void {\bf eo\-IBEAStoch\-Sorting}$<$ EOT, Fitness\-Eval $>$::set\-Bounds (const {\bf eo\-Pop}$<$ EOT $>$ \& {\em \_\-pop})\hspace{0.3cm}{\tt [inline, private, virtual]}}\label{classeoIBEAStochSorting_2a5ddad942fee331fe6912a6fecc9247}
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computation and setting of the bounds for each objective
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\begin{Desc}
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\item[Parameters:]
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\begin{description}
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\item[{\em const}]eo\-Pop$<$EOT$>$\& \_\-pop the population \end{description}
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\end{Desc}
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Implements {\bf eo\-IBEA$<$ EOT, Fitness\-Eval $>$} {\rm (p.\,\pageref{classeoIBEA})}.
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Definition at line 258 of file eo\-IBEA.h.\index{eoIBEAStochSorting@{eo\-IBEAStoch\-Sorting}!fitnesses@{fitnesses}}
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\index{fitnesses@{fitnesses}!eoIBEAStochSorting@{eo\-IBEAStoch\-Sorting}}
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\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOT, class Fitness\-Eval = typename EOT::Fitness::Fitness\-Eval$>$ void {\bf eo\-IBEAStoch\-Sorting}$<$ EOT, Fitness\-Eval $>$::fitnesses (const {\bf eo\-Pop}$<$ EOT $>$ \& {\em \_\-pop})\hspace{0.3cm}{\tt [inline, private, virtual]}}\label{classeoIBEAStochSorting_0d099b5a341791b35db98b350cdbc83f}
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computation and setting of the fitness for each individual of the population
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\begin{Desc}
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\item[Parameters:]
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\begin{description}
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\item[{\em const}]eo\-Pop$<$EOT$>$\& \_\-pop the population \end{description}
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\end{Desc}
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Implements {\bf eo\-IBEA$<$ EOT, Fitness\-Eval $>$} {\rm (p.\,\pageref{classeoIBEA})}.
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Definition at line 286 of file eo\-IBEA.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\-IBEA.h\end{CompactItemize}
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