71d9bd08e6
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@15 331e1502-861f-0410-8da2-ba01fb791d7f
89 lines
4.3 KiB
TeX
89 lines
4.3 KiB
TeX
\section{moeo\-Entropy\-Metric$<$ EOT $>$ Class Template Reference}
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\label{classmoeoEntropyMetric}\index{moeoEntropyMetric@{moeoEntropyMetric}}
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The entropy gives an idea of the diversity of a Pareto set relatively to another Pareto set.
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{\tt \#include $<$moeo\-Entropy\-Metric.h$>$}
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Inheritance diagram for moeo\-Entropy\-Metric$<$ EOT $>$::\begin{figure}[H]
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\begin{center}
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\leavevmode
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\includegraphics[height=4cm]{classmoeoEntropyMetric}
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\end{center}
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\end{figure}
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\subsection*{Public Types}
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\begin{CompactItemize}
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\item
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typedef EOT::Fitness {\bf EOFitness}\label{classmoeoEntropyMetric_306b72d2236de1ecbae986c65490a8fe}
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\begin{CompactList}\small\item\em The fitness type of a solution. \item\end{CompactList}\end{CompactItemize}
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\subsection*{Public Member Functions}
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\begin{CompactItemize}
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\item
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double {\bf operator()} (const std::vector$<$ {\bf EOFitness} $>$ \&\_\-set1, const std::vector$<$ {\bf EOFitness} $>$ \&\_\-set2)
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\begin{CompactList}\small\item\em Returns the entropy of the Pareto set '\_\-set1' relatively to the Pareto set '\_\-set2'. \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 remove\-Dominated} (std::vector$<$ {\bf EOFitness} $>$ \&\_\-f)\label{classmoeoEntropyMetric_3252e7534b1ceb1317936c5d2b3abcbe}
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\item
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void {\bf prenormalize} (const std::vector$<$ {\bf EOFitness} $>$ \&\_\-f)\label{classmoeoEntropyMetric_c9f0c65b4de69accbfb42486f6445cb0}
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\item
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void {\bf normalize} (std::vector$<$ {\bf EOFitness} $>$ \&\_\-f)\label{classmoeoEntropyMetric_bc32468b148a0da4eb21a9fc14dfafae}
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\item
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void {\bf compute\-Union} (const std::vector$<$ {\bf EOFitness} $>$ \&\_\-f1, const std::vector$<$ {\bf EOFitness} $>$ \&\_\-f2, std::vector$<$ {\bf EOFitness} $>$ \&\_\-f)\label{classmoeoEntropyMetric_2de60a0e6be362f074b50e6b455152ab}
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\item
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unsigned {\bf how\-Many\-In\-Niche\-Of} (const std::vector$<$ {\bf EOFitness} $>$ \&\_\-f, const {\bf EOFitness} \&\_\-s, unsigned \_\-size)\label{classmoeoEntropyMetric_a9369be315e139ebdf19fac09ad0563f}
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\item
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double {\bf euclidian\-Distance} (const {\bf EOFitness} \&\_\-set1, const {\bf EOFitness} \&\_\-to, unsigned \_\-deg=2)\label{classmoeoEntropyMetric_34f825ce7c53132f7218483130da8652}
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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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std::vector$<$ double $>$ {\bf vect\_\-min\_\-val}\label{classmoeoEntropyMetric_d4046a304badfe78aa35b2d57938ffe9}
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\item
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std::vector$<$ double $>$ {\bf vect\_\-max\_\-val}\label{classmoeoEntropyMetric_af0ae9645bdbb993de4bc990a0a08883}
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\end{CompactItemize}
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\subsection{Detailed Description}
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\subsubsection*{template$<$class EOT$>$ class moeo\-Entropy\-Metric$<$ EOT $>$}
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The entropy gives an idea of the diversity of a Pareto set relatively to another Pareto set.
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(Basseur, Seynhaeve, Talbi: 'Design of Multi-objective Evolutionary Algorithms: Application to the Flow-shop Scheduling Problem', in Proc. of the 2002 Congress on Evolutionary Computation, IEEE Press, pp. 1155-1156)
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Definition at line 23 of file moeo\-Entropy\-Metric.h.
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\subsection{Member Function Documentation}
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\index{moeoEntropyMetric@{moeo\-Entropy\-Metric}!operator()@{operator()}}
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\index{operator()@{operator()}!moeoEntropyMetric@{moeo\-Entropy\-Metric}}
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\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOT$>$ double {\bf moeo\-Entropy\-Metric}$<$ EOT $>$::operator() (const std::vector$<$ {\bf EOFitness} $>$ \& {\em \_\-set1}, const std::vector$<$ {\bf EOFitness} $>$ \& {\em \_\-set2})\hspace{0.3cm}{\tt [inline]}}\label{classmoeoEntropyMetric_58136405dfed951efa340ddf541c29fd}
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Returns the entropy of the Pareto set '\_\-set1' relatively to the Pareto set '\_\-set2'.
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\begin{Desc}
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\item[Parameters:]
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\begin{description}
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\item[{\em \_\-set1}]the first Pareto set \item[{\em \_\-set2}]the second Pareto set \end{description}
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\end{Desc}
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Definition at line 38 of file moeo\-Entropy\-Metric.h.
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References moeo\-Entropy\-Metric$<$ EOT $>$::compute\-Union(), moeo\-Entropy\-Metric$<$ EOT $>$::how\-Many\-In\-Niche\-Of(), moeo\-Entropy\-Metric$<$ EOT $>$::normalize(), moeo\-Entropy\-Metric$<$ EOT $>$::prenormalize(), and moeo\-Entropy\-Metric$<$ EOT $>$::remove\-Dominated().
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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\-Entropy\-Metric.h\end{CompactItemize}
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