84 lines
3.5 KiB
TeX
84 lines
3.5 KiB
TeX
\hypertarget{classmoeo_s_a}{}\doxysection{moeo\+SA$<$ M $>$ Class Template Reference}
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\label{classmoeo_s_a}\index{moeoSA$<$ M $>$@{moeoSA$<$ M $>$}}
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Simulated annealing (SA)
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{\ttfamily \#include $<$moeo\+S\+A.\+h$>$}
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Inheritance diagram for moeo\+SA$<$ M $>$\+:
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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=292pt]{classmoeo_s_a__inherit__graph}
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\end{center}
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\end{figure}
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Collaboration diagram for moeo\+SA$<$ M $>$\+:
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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=292pt]{classmoeo_s_a__coll__graph}
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\end{center}
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\end{figure}
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\doxysubsection*{Public Types}
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\begin{DoxyCompactItemize}
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\item
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\mbox{\Hypertarget{classmoeo_s_a_a6dc80891efb58f2682e0393381d8ed93}\label{classmoeo_s_a_a6dc80891efb58f2682e0393381d8ed93}}
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typedef M\+::\+E\+O\+Type {\bfseries M\+O\+E\+OT}
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\item
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\mbox{\Hypertarget{classmoeo_s_a_a461b1fd035cbbe6d542c53ac5ed658fc}\label{classmoeo_s_a_a461b1fd035cbbe6d542c53ac5ed658fc}}
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typedef M\+O\+E\+O\+T\+::\+Objective\+Vector {\bfseries Objective\+Vector}
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\item
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\mbox{\Hypertarget{classmoeo_s_a_a43f289f1cb11937d4a25016472dd5fba}\label{classmoeo_s_a_a43f289f1cb11937d4a25016472dd5fba}}
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typedef M\+O\+E\+O\+T\+::\+Fitness {\bfseries Fitness}
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\end{DoxyCompactItemize}
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\doxysubsection*{Public Member Functions}
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\begin{DoxyCompactItemize}
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\item
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\mbox{\Hypertarget{classmoeo_s_a_ae25aa7e66f9272db71e76ad18fac7cc7}\label{classmoeo_s_a_ae25aa7e66f9272db71e76ad18fac7cc7}}
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{\bfseries moeo\+SA} (mo\+Rand\+Move$<$ M $>$ \&\+\_\+random\+\_\+move\+\_\+generator, mo\+Move\+Incr\+Eval$<$ M, Objective\+Vector $>$ \&\+\_\+incremental\+\_\+evaluation, mo\+Sol\+Continue$<$ M\+O\+E\+OT $>$ \&\+\_\+continue, double \+\_\+initial\+\_\+temperature, \mbox{\hyperlink{classmo_cooling_schedule}{mo\+Cooling\+Schedule}} \&\+\_\+cooling\+\_\+schedule, \mbox{\hyperlink{classmoeo_single_objectivization}{moeo\+Single\+Objectivization}}$<$ M\+O\+E\+OT $>$ \&\+\_\+singler)
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\item
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bool \mbox{\hyperlink{classmoeo_s_a_acc06173438d27c71fbe7144ac587e2a6}{operator()}} (M\+O\+E\+OT \&\+\_\+solution)
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\end{DoxyCompactItemize}
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\doxysubsection{Detailed Description}
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\subsubsection*{template$<$class M$>$\newline
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class moeo\+S\+A$<$ M $>$}
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Simulated annealing (SA)
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Generic algorithm that describes a Simulated Annealing algorithm. Adapts the \mbox{\hyperlink{classmo_s_a}{mo\+SA}} for a multi-\/objective problem using a \mbox{\hyperlink{classmoeo_single_objectivization}{moeo\+Single\+Objectivization}}. M is for Move
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\doxysubsection{Member Function Documentation}
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\mbox{\Hypertarget{classmoeo_s_a_acc06173438d27c71fbe7144ac587e2a6}\label{classmoeo_s_a_acc06173438d27c71fbe7144ac587e2a6}}
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\index{moeoSA$<$ M $>$@{moeoSA$<$ M $>$}!operator()@{operator()}}
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\index{operator()@{operator()}!moeoSA$<$ M $>$@{moeoSA$<$ M $>$}}
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\doxysubsubsection{\texorpdfstring{operator()()}{operator()()}}
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{\footnotesize\ttfamily template$<$class M $>$ \\
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bool \mbox{\hyperlink{classmoeo_s_a}{moeo\+SA}}$<$ M $>$\+::operator() (\begin{DoxyParamCaption}\item[{M\+O\+E\+OT \&}]{\+\_\+solution }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}}
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Algorithm of the SA As a mo\+HC, it can be used for H\+Y\+B\+R\+I\+D\+A\+T\+I\+ON in an evolutionary algorithm.
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\begin{DoxyParams}{Parameters}
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{\em \+\_\+solution} & a solution to improve. \\
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\hline
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\end{DoxyParams}
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\begin{DoxyReturn}{Returns}
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T\+R\+UE.
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\end{DoxyReturn}
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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/scalar\+Stuffs/algo/moeo\+S\+A.\+h\end{DoxyCompactItemize}
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