b0351ae298
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@157 331e1502-861f-0410-8da2-ba01fb791d7f
101 lines
5.3 KiB
TeX
101 lines
5.3 KiB
TeX
\section{moeo\-IBEAStoch\-Sorting$<$ EOT, Fitness\-Eval $>$ Class Template Reference}
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\label{classmoeoIBEAStochSorting}\index{moeoIBEAStochSorting@{moeoIBEAStochSorting}}
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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 $<$moeo\-IBEA.h$>$}
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Inheritance diagram for moeo\-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]{classmoeoIBEAStochSorting}
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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 moeo\-IBEAStoch\-Sorting} ({\bf moeo\-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{classmoeoIBEAStochSorting_3426ae274256fe8cedb9e0c009f81e15}
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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 moeo\-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 203 of file moeo\-IBEA.h.
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\subsection{Constructor \& Destructor Documentation}
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\index{moeoIBEAStochSorting@{moeo\-IBEAStoch\-Sorting}!moeoIBEAStochSorting@{moeoIBEAStochSorting}}
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\index{moeoIBEAStochSorting@{moeoIBEAStochSorting}!moeoIBEAStochSorting@{moeo\-IBEAStoch\-Sorting}}
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\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOT, class Fitness\-Eval = typename EOT::Fitness::Fitness\-Eval$>$ {\bf moeo\-IBEAStoch\-Sorting}$<$ EOT, Fitness\-Eval $>$::{\bf moeo\-IBEAStoch\-Sorting} ({\bf moeo\-Binary\-Quality\-Indicator}$<$ Fitness\-Eval $>$ $\ast$ {\em \_\-I})\hspace{0.3cm}{\tt [inline]}}\label{classmoeoIBEAStochSorting_675d3ff90643f398b8aacbea5ea7eb31}
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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$}]\_\-I the binary quality indicator to use in the selection process \end{description}
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\end{Desc}
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Definition at line 214 of file moeo\-IBEA.h.
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\subsection{Member Function Documentation}
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\index{moeoIBEAStochSorting@{moeo\-IBEAStoch\-Sorting}!setBounds@{setBounds}}
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\index{setBounds@{setBounds}!moeoIBEAStochSorting@{moeo\-IBEAStoch\-Sorting}}
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\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOT, class Fitness\-Eval = typename EOT::Fitness::Fitness\-Eval$>$ void {\bf moeo\-IBEAStoch\-Sorting}$<$ EOT, Fitness\-Eval $>$::set\-Bounds (const {\bf eo\-Pop}$<$ EOT $>$ \& {\em \_\-pop})\hspace{0.3cm}{\tt [inline, private, virtual]}}\label{classmoeoIBEAStochSorting_c23afa90c4eb5b21bb8f118c968ed0a2}
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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 moeo\-IBEA$<$ EOT, Fitness\-Eval $>$} \doxyref{}{p.}{classmoeoIBEA}.
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Definition at line 243 of file moeo\-IBEA.h.
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References moeo\-IBEA$<$ EOT, Fitness\-Eval $>$::I, and moeo\-Binary\-Quality\-Indicator$<$ EOFitness $>$::set\-Bounds().\index{moeoIBEAStochSorting@{moeo\-IBEAStoch\-Sorting}!fitnesses@{fitnesses}}
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\index{fitnesses@{fitnesses}!moeoIBEAStochSorting@{moeo\-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 moeo\-IBEAStoch\-Sorting}$<$ EOT, Fitness\-Eval $>$::fitnesses (const {\bf eo\-Pop}$<$ EOT $>$ \& {\em \_\-pop})\hspace{0.3cm}{\tt [inline, private, virtual]}}\label{classmoeoIBEAStochSorting_b75848ab2c0d03058b48147f11105dcb}
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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 moeo\-IBEA$<$ EOT, Fitness\-Eval $>$} \doxyref{}{p.}{classmoeoIBEA}.
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Definition at line 272 of file moeo\-IBEA.h.
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References eo\-Value\-Param$<$ std::vector$<$ Worth\-T $>$ $>$::value(), and moeo\-IBEAStoch\-Sorting$<$ EOT, Fitness\-Eval $>$::zero().
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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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moeo\-IBEA.h\end{CompactItemize}
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