88 lines
5.5 KiB
TeX
88 lines
5.5 KiB
TeX
\hypertarget{classmoeo_hypervolume_binary_metric}{}\doxysection{moeo\+Hypervolume\+Binary\+Metric$<$ Objective\+Vector $>$ Class Template Reference}
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\label{classmoeo_hypervolume_binary_metric}\index{moeoHypervolumeBinaryMetric$<$ ObjectiveVector $>$@{moeoHypervolumeBinaryMetric$<$ ObjectiveVector $>$}}
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{\ttfamily \#include $<$moeo\+Hypervolume\+Binary\+Metric.\+h$>$}
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Inheritance diagram for moeo\+Hypervolume\+Binary\+Metric$<$ Objective\+Vector $>$\+:
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\nopagebreak
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\begin{figure}[H]
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\begin{center}
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\leavevmode
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\includegraphics[width=350pt]{classmoeo_hypervolume_binary_metric__inherit__graph}
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\end{center}
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\end{figure}
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Collaboration diagram for moeo\+Hypervolume\+Binary\+Metric$<$ Objective\+Vector $>$\+:
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\nopagebreak
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\begin{figure}[H]
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\begin{center}
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\leavevmode
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\includegraphics[width=350pt]{classmoeo_hypervolume_binary_metric__coll__graph}
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\end{center}
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\end{figure}
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\doxysubsection*{Public Member Functions}
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\begin{DoxyCompactItemize}
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\item
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\mbox{\hyperlink{classmoeo_hypervolume_binary_metric_a01a07711a7c9f38cdc2c76e40a3c5958}{moeo\+Hypervolume\+Binary\+Metric}} (double \+\_\+rho=1.\+1)
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\item
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double \mbox{\hyperlink{classmoeo_hypervolume_binary_metric_ac147309a5ba6b365be926e6083c5b9f2}{operator()}} (const \mbox{\hyperlink{classmoeo_real_objective_vector}{Objective\+Vector}} \&\+\_\+o1, const \mbox{\hyperlink{classmoeo_real_objective_vector}{Objective\+Vector}} \&\+\_\+o2)
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\end{DoxyCompactItemize}
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\doxysubsection*{Additional Inherited Members}
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\doxysubsection{Detailed Description}
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\subsubsection*{template$<$class Objective\+Vector$>$\newline
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class moeo\+Hypervolume\+Binary\+Metric$<$ Objective\+Vector $>$}
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Hypervolume binary metric allowing to compare two objective vectors as proposed in Zitzler E., Künzli S.\+: Indicator-\/\+Based Selection in Multiobjective Search. In Parallel \mbox{\hyperlink{class_problem}{Problem}} Solving from Nature (P\+P\+SN V\+I\+II). Lecture Notes in Computer Science 3242, Springer, Birmingham, UK pp.\+832–842 (2004).
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This indicator is based on the hypervolume concept introduced in Zitzler, E., Thiele, L.\+: Multiobjective Optimization Using Evolutionary Algorithms -\/ A Comparative Case Study. Parallel \mbox{\hyperlink{class_problem}{Problem}} Solving from Nature (P\+P\+S\+N-\/V), pp.\+292-\/301 (1998).
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This code is adapted from the P\+I\+SA implementation of I\+B\+EA (\href{http://www.tik.ee.ethz.ch/sop/pisa/}{\texttt{ http\+://www.\+tik.\+ee.\+ethz.\+ch/sop/pisa/}})
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\doxysubsection{Constructor \& Destructor Documentation}
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\mbox{\Hypertarget{classmoeo_hypervolume_binary_metric_a01a07711a7c9f38cdc2c76e40a3c5958}\label{classmoeo_hypervolume_binary_metric_a01a07711a7c9f38cdc2c76e40a3c5958}}
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\index{moeoHypervolumeBinaryMetric$<$ ObjectiveVector $>$@{moeoHypervolumeBinaryMetric$<$ ObjectiveVector $>$}!moeoHypervolumeBinaryMetric@{moeoHypervolumeBinaryMetric}}
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\index{moeoHypervolumeBinaryMetric@{moeoHypervolumeBinaryMetric}!moeoHypervolumeBinaryMetric$<$ ObjectiveVector $>$@{moeoHypervolumeBinaryMetric$<$ ObjectiveVector $>$}}
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\doxysubsubsection{\texorpdfstring{moeoHypervolumeBinaryMetric()}{moeoHypervolumeBinaryMetric()}}
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{\footnotesize\ttfamily template$<$class Objective\+Vector $>$ \\
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\mbox{\hyperlink{classmoeo_hypervolume_binary_metric}{moeo\+Hypervolume\+Binary\+Metric}}$<$ \mbox{\hyperlink{classmoeo_real_objective_vector}{Objective\+Vector}} $>$\+::\mbox{\hyperlink{classmoeo_hypervolume_binary_metric}{moeo\+Hypervolume\+Binary\+Metric}} (\begin{DoxyParamCaption}\item[{double}]{\+\_\+rho = {\ttfamily 1.1} }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}}
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Ctor
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\begin{DoxyParams}{Parameters}
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{\em \+\_\+rho} & value used to compute the reference point from the worst values for each objective (default \+: 1.\+1) \\
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\hline
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\end{DoxyParams}
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\doxysubsection{Member Function Documentation}
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\mbox{\Hypertarget{classmoeo_hypervolume_binary_metric_ac147309a5ba6b365be926e6083c5b9f2}\label{classmoeo_hypervolume_binary_metric_ac147309a5ba6b365be926e6083c5b9f2}}
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\index{moeoHypervolumeBinaryMetric$<$ ObjectiveVector $>$@{moeoHypervolumeBinaryMetric$<$ ObjectiveVector $>$}!operator()@{operator()}}
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\index{operator()@{operator()}!moeoHypervolumeBinaryMetric$<$ ObjectiveVector $>$@{moeoHypervolumeBinaryMetric$<$ ObjectiveVector $>$}}
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\doxysubsubsection{\texorpdfstring{operator()()}{operator()()}}
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{\footnotesize\ttfamily template$<$class Objective\+Vector $>$ \\
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double \mbox{\hyperlink{classmoeo_hypervolume_binary_metric}{moeo\+Hypervolume\+Binary\+Metric}}$<$ \mbox{\hyperlink{classmoeo_real_objective_vector}{Objective\+Vector}} $>$\+::operator() (\begin{DoxyParamCaption}\item[{const \mbox{\hyperlink{classmoeo_real_objective_vector}{Objective\+Vector}} \&}]{\+\_\+o1, }\item[{const \mbox{\hyperlink{classmoeo_real_objective_vector}{Objective\+Vector}} \&}]{\+\_\+o2 }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}, {\ttfamily [virtual]}}
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Returns the volume of the space that is dominated by \+\_\+o2 but not by \+\_\+o1 with respect to a reference point computed using rho. \begin{DoxyWarning}{Warning}
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don\textquotesingle{}t forget to set the bounds for every objective before the call of this function
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\end{DoxyWarning}
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\begin{DoxyParams}{Parameters}
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{\em \+\_\+o1} & the first objective vector \\
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\hline
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{\em \+\_\+o2} & the second objective vector \\
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\hline
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\end{DoxyParams}
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Implements \mbox{\hyperlink{classeo_b_f_aa03c40b95210569b826df79a2237a0d0}{eo\+B\+F$<$ const Objective\+Vector \&, const Objective\+Vector \&, double $>$}}.
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The documentation for this class was generated from the following file\+:\begin{DoxyCompactItemize}
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\item
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moeo/src/metric/moeo\+Hypervolume\+Binary\+Metric.\+h\end{DoxyCompactItemize}
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