\hypertarget{classedo_algo_adaptive}{}\doxysection{edo\+Algo\+Adaptive$<$ D $>$ Class Template Reference} \label{classedo_algo_adaptive}\index{edoAlgoAdaptive$<$ D $>$@{edoAlgoAdaptive$<$ D $>$}} {\ttfamily \#include $<$edo\+Algo\+Adaptive.\+h$>$} Inheritance diagram for edo\+Algo\+Adaptive$<$ D $>$\+: \nopagebreak \begin{figure}[H] \begin{center} \leavevmode \includegraphics[width=318pt]{classedo_algo_adaptive__inherit__graph} \end{center} \end{figure} Collaboration diagram for edo\+Algo\+Adaptive$<$ D $>$\+: \nopagebreak \begin{figure}[H] \begin{center} \leavevmode \includegraphics[width=350pt]{classedo_algo_adaptive__coll__graph} \end{center} \end{figure} \doxysubsection*{Public Types} \begin{DoxyCompactItemize} \item \mbox{\Hypertarget{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}\label{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}} typedef D\+::\+E\+O\+Type \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} \begin{DoxyCompactList}\small\item\em Alias for the type E\+OT. \end{DoxyCompactList}\item \mbox{\Hypertarget{classedo_algo_adaptive_a44cc6874ab34229b932b700ee6b3230c}\label{classedo_algo_adaptive_a44cc6874ab34229b932b700ee6b3230c}} typedef E\+O\+Type\+::\+Atom\+Type \mbox{\hyperlink{classedo_algo_adaptive_a44cc6874ab34229b932b700ee6b3230c}{Atom\+Type}} \begin{DoxyCompactList}\small\item\em Alias for the atom type. \end{DoxyCompactList}\item \mbox{\Hypertarget{classedo_algo_adaptive_a2e4e2cb9c953cfd07453b94e46db62db}\label{classedo_algo_adaptive_a2e4e2cb9c953cfd07453b94e46db62db}} typedef E\+O\+Type\+::\+Fitness \mbox{\hyperlink{classedo_algo_adaptive_a2e4e2cb9c953cfd07453b94e46db62db}{Fitness}} \begin{DoxyCompactList}\small\item\em Alias for the fitness. \end{DoxyCompactList}\end{DoxyCompactItemize} \doxysubsection*{Public Member Functions} \begin{DoxyCompactItemize} \item \mbox{\hyperlink{classedo_algo_adaptive_af17307e014c6cdc238d98402385b33a3}{edo\+Algo\+Adaptive}} (D \&distrib, \mbox{\hyperlink{classeo_pop_eval_func}{eo\+Pop\+Eval\+Func}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&evaluator, \mbox{\hyperlink{classeo_select}{eo\+Select}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&selector, \mbox{\hyperlink{classedo_estimator}{edo\+Estimator}}$<$ D $>$ \&estimator, \mbox{\hyperlink{classedo_estimator}{edo\+Estimator}}$<$ D $>$ \&estimator\+\_\+init, \mbox{\hyperlink{classedo_sampler}{edo\+Sampler}}$<$ D $>$ \&sampler, \mbox{\hyperlink{classeo_replacement}{eo\+Replacement}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&replacor, \mbox{\hyperlink{classeo_continue}{eo\+Continue}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&pop\+\_\+continuator, \mbox{\hyperlink{classedo_continue}{edo\+Continue}}$<$ D $>$ \&distribution\+\_\+continuator) \item \mbox{\hyperlink{classedo_algo_adaptive_a86bda47984012eb50fb7ec38e15d4695}{edo\+Algo\+Adaptive}} (D \&distrib, \mbox{\hyperlink{classeo_pop_eval_func}{eo\+Pop\+Eval\+Func}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&evaluator, \mbox{\hyperlink{classeo_select}{eo\+Select}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&selector, \mbox{\hyperlink{classedo_estimator}{edo\+Estimator}}$<$ D $>$ \&estimator, \mbox{\hyperlink{classedo_sampler}{edo\+Sampler}}$<$ D $>$ \&sampler, \mbox{\hyperlink{classeo_replacement}{eo\+Replacement}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&replacor, \mbox{\hyperlink{classeo_continue}{eo\+Continue}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&pop\+\_\+continuator, \mbox{\hyperlink{classedo_continue}{edo\+Continue}}$<$ D $>$ \&distribution\+\_\+continuator) \item \mbox{\hyperlink{classedo_algo_adaptive_a7c6122b37e5bf13445caa532fba8ba47}{edo\+Algo\+Adaptive}} (D \&distrib, \mbox{\hyperlink{classeo_pop_eval_func}{eo\+Pop\+Eval\+Func}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&evaluator, \mbox{\hyperlink{classeo_select}{eo\+Select}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&selector, \mbox{\hyperlink{classedo_estimator}{edo\+Estimator}}$<$ D $>$ \&estimator, \mbox{\hyperlink{classedo_sampler}{edo\+Sampler}}$<$ D $>$ \&sampler, \mbox{\hyperlink{classeo_replacement}{eo\+Replacement}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&replacor, \mbox{\hyperlink{classeo_continue}{eo\+Continue}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&pop\+\_\+continuator) \begin{DoxyCompactList}\small\item\em constructor without an \mbox{\hyperlink{classedo_continue}{edo\+Continue}} \end{DoxyCompactList}\item void \mbox{\hyperlink{classedo_algo_adaptive_acc0fa6c131f85fe91fe308e24331f4d2}{operator()}} (\mbox{\hyperlink{classeo_pop}{eo\+Pop}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&pop) \end{DoxyCompactItemize} \doxysubsection*{Protected Attributes} \begin{DoxyCompactItemize} \item \mbox{\Hypertarget{classedo_algo_adaptive_a500037bb8893febc71ce50cbec3abd91}\label{classedo_algo_adaptive_a500037bb8893febc71ce50cbec3abd91}} D \& \mbox{\hyperlink{classedo_algo_adaptive_a500037bb8893febc71ce50cbec3abd91}{\+\_\+distrib}} \begin{DoxyCompactList}\small\item\em The distribution that you want to update. \end{DoxyCompactList}\item \mbox{\Hypertarget{classedo_algo_adaptive_acc3cb7a890a2a689d511260ca460098d}\label{classedo_algo_adaptive_acc3cb7a890a2a689d511260ca460098d}} \mbox{\hyperlink{classeo_pop_eval_func}{eo\+Pop\+Eval\+Func}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \& \mbox{\hyperlink{classedo_algo_adaptive_acc3cb7a890a2a689d511260ca460098d}{\+\_\+evaluator}} \begin{DoxyCompactList}\small\item\em A full evaluation function. \end{DoxyCompactList}\item \mbox{\Hypertarget{classedo_algo_adaptive_a931d69d30a865cebf4924181421ba927}\label{classedo_algo_adaptive_a931d69d30a865cebf4924181421ba927}} \mbox{\hyperlink{classeo_select}{eo\+Select}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \& \mbox{\hyperlink{classedo_algo_adaptive_a931d69d30a865cebf4924181421ba927}{\+\_\+selector}} \begin{DoxyCompactList}\small\item\em A E\+O\+Type selector. \end{DoxyCompactList}\item \mbox{\Hypertarget{classedo_algo_adaptive_a17c59900e0d476f2e305afee2478b90e}\label{classedo_algo_adaptive_a17c59900e0d476f2e305afee2478b90e}} \mbox{\hyperlink{classedo_estimator}{edo\+Estimator}}$<$ D $>$ \& \mbox{\hyperlink{classedo_algo_adaptive_a17c59900e0d476f2e305afee2478b90e}{\+\_\+estimator}} \begin{DoxyCompactList}\small\item\em A E\+O\+Type estimator. It is going to estimate distribution parameters. \end{DoxyCompactList}\item \mbox{\Hypertarget{classedo_algo_adaptive_a6e35e4fe0ec37d08879e0bc5b03c2966}\label{classedo_algo_adaptive_a6e35e4fe0ec37d08879e0bc5b03c2966}} \mbox{\hyperlink{classedo_estimator}{edo\+Estimator}}$<$ D $>$ \& \mbox{\hyperlink{classedo_algo_adaptive_a6e35e4fe0ec37d08879e0bc5b03c2966}{\+\_\+estimator\+\_\+init}} \begin{DoxyCompactList}\small\item\em A E\+O\+Type estimator. Called before the main loop. \end{DoxyCompactList}\item \mbox{\Hypertarget{classedo_algo_adaptive_a09f16fb19ac498bb6a6771e484e050b6}\label{classedo_algo_adaptive_a09f16fb19ac498bb6a6771e484e050b6}} \mbox{\hyperlink{classedo_sampler}{edo\+Sampler}}$<$ D $>$ \& \mbox{\hyperlink{classedo_algo_adaptive_a09f16fb19ac498bb6a6771e484e050b6}{\+\_\+sampler}} \begin{DoxyCompactList}\small\item\em A D sampler. \end{DoxyCompactList}\item \mbox{\Hypertarget{classedo_algo_adaptive_a9efb33ecce9d50fd959d9e585c293dc1}\label{classedo_algo_adaptive_a9efb33ecce9d50fd959d9e585c293dc1}} \mbox{\hyperlink{classeo_replacement}{eo\+Replacement}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \& \mbox{\hyperlink{classedo_algo_adaptive_a9efb33ecce9d50fd959d9e585c293dc1}{\+\_\+replacor}} \begin{DoxyCompactList}\small\item\em A E\+O\+Type replacor. \end{DoxyCompactList}\item \mbox{\Hypertarget{classedo_algo_adaptive_a2b956009cad4c68fafc2491880c2eb2a}\label{classedo_algo_adaptive_a2b956009cad4c68fafc2491880c2eb2a}} \mbox{\hyperlink{classeo_continue}{eo\+Continue}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \& \mbox{\hyperlink{classedo_algo_adaptive_a2b956009cad4c68fafc2491880c2eb2a}{\+\_\+pop\+\_\+continuator}} \begin{DoxyCompactList}\small\item\em A E\+O\+Type population continuator. \end{DoxyCompactList}\item \mbox{\Hypertarget{classedo_algo_adaptive_ade8cd8abb0e656e6f7e22ec95e54f730}\label{classedo_algo_adaptive_ade8cd8abb0e656e6f7e22ec95e54f730}} \mbox{\hyperlink{classedo_dummy_continue}{edo\+Dummy\+Continue}}$<$ D $>$ \mbox{\hyperlink{classedo_algo_adaptive_ade8cd8abb0e656e6f7e22ec95e54f730}{\+\_\+dummy\+\_\+continue}} \begin{DoxyCompactList}\small\item\em A D continuator that always return true. \end{DoxyCompactList}\item \mbox{\Hypertarget{classedo_algo_adaptive_ae1fbf682b91f061fbff18a270f9128c3}\label{classedo_algo_adaptive_ae1fbf682b91f061fbff18a270f9128c3}} \mbox{\hyperlink{classedo_continue}{edo\+Continue}}$<$ D $>$ \& \mbox{\hyperlink{classedo_algo_adaptive_ae1fbf682b91f061fbff18a270f9128c3}{\+\_\+distribution\+\_\+continuator}} \begin{DoxyCompactList}\small\item\em A D continuator. \end{DoxyCompactList}\end{DoxyCompactItemize} \doxysubsection*{Additional Inherited Members} \doxysubsection{Detailed Description} \subsubsection*{template$<$typename D$>$\newline class edo\+Algo\+Adaptive$<$ D $>$} A generic stochastic search template for algorithms that need a distribution parameter. An adaptive algorithm will directly updates a distribution, it must thus be instanciated with an \mbox{\hyperlink{classedo_distrib}{edo\+Distrib}} at hand. Thus, this distribution object should be instanciated appart. The reference to this distribution is generally also needed by at least one of the algorithm\textquotesingle{}s operator, generally for algorithms that shares the same algorithms across operators and/or iterations. If you no operator needs to update the distribution, then it is simpler to use an \mbox{\hyperlink{classedo_algo_stateless}{edo\+Algo\+Stateless}} . \doxysubsection{Constructor \& Destructor Documentation} \mbox{\Hypertarget{classedo_algo_adaptive_af17307e014c6cdc238d98402385b33a3}\label{classedo_algo_adaptive_af17307e014c6cdc238d98402385b33a3}} \index{edoAlgoAdaptive$<$ D $>$@{edoAlgoAdaptive$<$ D $>$}!edoAlgoAdaptive@{edoAlgoAdaptive}} \index{edoAlgoAdaptive@{edoAlgoAdaptive}!edoAlgoAdaptive$<$ D $>$@{edoAlgoAdaptive$<$ D $>$}} \doxysubsubsection{\texorpdfstring{edoAlgoAdaptive()}{edoAlgoAdaptive()}\hspace{0.1cm}{\footnotesize\ttfamily [1/3]}} {\footnotesize\ttfamily template$<$typename D $>$ \\ \mbox{\hyperlink{classedo_algo_adaptive}{edo\+Algo\+Adaptive}}$<$ D $>$\+::\mbox{\hyperlink{classedo_algo_adaptive}{edo\+Algo\+Adaptive}} (\begin{DoxyParamCaption}\item[{D \&}]{distrib, }\item[{\mbox{\hyperlink{classeo_pop_eval_func}{eo\+Pop\+Eval\+Func}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&}]{evaluator, }\item[{\mbox{\hyperlink{classeo_select}{eo\+Select}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&}]{selector, }\item[{\mbox{\hyperlink{classedo_estimator}{edo\+Estimator}}$<$ D $>$ \&}]{estimator, }\item[{\mbox{\hyperlink{classedo_estimator}{edo\+Estimator}}$<$ D $>$ \&}]{estimator\+\_\+init, }\item[{\mbox{\hyperlink{classedo_sampler}{edo\+Sampler}}$<$ D $>$ \&}]{sampler, }\item[{\mbox{\hyperlink{classeo_replacement}{eo\+Replacement}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&}]{replacor, }\item[{\mbox{\hyperlink{classeo_continue}{eo\+Continue}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&}]{pop\+\_\+continuator, }\item[{\mbox{\hyperlink{classedo_continue}{edo\+Continue}}$<$ D $>$ \&}]{distribution\+\_\+continuator }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Takes all operators. \begin{DoxyParams}{Parameters} {\em distrib} & A distribution to use, if you want to update this parameter (e.\+g. C\+M\+A-\/\+ES) instead of replacing it (e.\+g. an E\+DA) \\ \hline {\em evaluator} & Evaluate a population \\ \hline {\em selector} & Selection of the best candidate solutions in the population \\ \hline {\em estimator} & Estimation of the distribution parameters \\ \hline {\em estimator\+\_\+init} & Estimation of the distribution parameters, called before the main loop. \\ \hline {\em sampler} & Generate feasible solutions using the distribution \\ \hline {\em replacor} & Replace old solutions by new ones \\ \hline {\em pop\+\_\+continuator} & Stopping criterion based on the population features \\ \hline {\em distribution\+\_\+continuator} & Stopping criterion based on the distribution features \\ \hline \end{DoxyParams} \mbox{\Hypertarget{classedo_algo_adaptive_a86bda47984012eb50fb7ec38e15d4695}\label{classedo_algo_adaptive_a86bda47984012eb50fb7ec38e15d4695}} \index{edoAlgoAdaptive$<$ D $>$@{edoAlgoAdaptive$<$ D $>$}!edoAlgoAdaptive@{edoAlgoAdaptive}} \index{edoAlgoAdaptive@{edoAlgoAdaptive}!edoAlgoAdaptive$<$ D $>$@{edoAlgoAdaptive$<$ D $>$}} \doxysubsubsection{\texorpdfstring{edoAlgoAdaptive()}{edoAlgoAdaptive()}\hspace{0.1cm}{\footnotesize\ttfamily [2/3]}} {\footnotesize\ttfamily template$<$typename D $>$ \\ \mbox{\hyperlink{classedo_algo_adaptive}{edo\+Algo\+Adaptive}}$<$ D $>$\+::\mbox{\hyperlink{classedo_algo_adaptive}{edo\+Algo\+Adaptive}} (\begin{DoxyParamCaption}\item[{D \&}]{distrib, }\item[{\mbox{\hyperlink{classeo_pop_eval_func}{eo\+Pop\+Eval\+Func}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&}]{evaluator, }\item[{\mbox{\hyperlink{classeo_select}{eo\+Select}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&}]{selector, }\item[{\mbox{\hyperlink{classedo_estimator}{edo\+Estimator}}$<$ D $>$ \&}]{estimator, }\item[{\mbox{\hyperlink{classedo_sampler}{edo\+Sampler}}$<$ D $>$ \&}]{sampler, }\item[{\mbox{\hyperlink{classeo_replacement}{eo\+Replacement}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&}]{replacor, }\item[{\mbox{\hyperlink{classeo_continue}{eo\+Continue}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&}]{pop\+\_\+continuator, }\item[{\mbox{\hyperlink{classedo_continue}{edo\+Continue}}$<$ D $>$ \&}]{distribution\+\_\+continuator }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Without the initialization estimator (set the same estimator everywhere). \begin{DoxyParams}{Parameters} {\em distrib} & A distribution to use, if you want to update this parameter (e.\+g\+MA-\/ES) instead of replacing it (e.\+g. an E\+DA) \\ \hline {\em evaluator} & Evaluate a population \\ \hline {\em selector} & Selection of the best candidate solutions in the population \\ \hline {\em estimator} & Estimation of the distribution parameters \\ \hline {\em sampler} & Generate feasible solutions using the distribution \\ \hline {\em replacor} & Replace old solutions by new ones \\ \hline {\em pop\+\_\+continuator} & Stopping criterion based on the population features \\ \hline {\em distribution\+\_\+continuator} & Stopping criterion based on the distribution features \\ \hline \end{DoxyParams} \mbox{\Hypertarget{classedo_algo_adaptive_a7c6122b37e5bf13445caa532fba8ba47}\label{classedo_algo_adaptive_a7c6122b37e5bf13445caa532fba8ba47}} \index{edoAlgoAdaptive$<$ D $>$@{edoAlgoAdaptive$<$ D $>$}!edoAlgoAdaptive@{edoAlgoAdaptive}} \index{edoAlgoAdaptive@{edoAlgoAdaptive}!edoAlgoAdaptive$<$ D $>$@{edoAlgoAdaptive$<$ D $>$}} \doxysubsubsection{\texorpdfstring{edoAlgoAdaptive()}{edoAlgoAdaptive()}\hspace{0.1cm}{\footnotesize\ttfamily [3/3]}} {\footnotesize\ttfamily template$<$typename D $>$ \\ \mbox{\hyperlink{classedo_algo_adaptive}{edo\+Algo\+Adaptive}}$<$ D $>$\+::\mbox{\hyperlink{classedo_algo_adaptive}{edo\+Algo\+Adaptive}} (\begin{DoxyParamCaption}\item[{D \&}]{distrib, }\item[{\mbox{\hyperlink{classeo_pop_eval_func}{eo\+Pop\+Eval\+Func}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&}]{evaluator, }\item[{\mbox{\hyperlink{classeo_select}{eo\+Select}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&}]{selector, }\item[{\mbox{\hyperlink{classedo_estimator}{edo\+Estimator}}$<$ D $>$ \&}]{estimator, }\item[{\mbox{\hyperlink{classedo_sampler}{edo\+Sampler}}$<$ D $>$ \&}]{sampler, }\item[{\mbox{\hyperlink{classeo_replacement}{eo\+Replacement}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&}]{replacor, }\item[{\mbox{\hyperlink{classeo_continue}{eo\+Continue}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&}]{pop\+\_\+continuator }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} constructor without an \mbox{\hyperlink{classedo_continue}{edo\+Continue}} Takes algo operators, all are mandatory \begin{DoxyParams}{Parameters} {\em distrib} & A distribution to use, if you want to update this parameter (e.\+g\+MA-\/ES) instead of replacing it (e.\+g. an E\+DA) \\ \hline {\em evaluator} & Evaluate a population \\ \hline {\em selector} & Selection of the best candidate solutions in the population \\ \hline {\em estimator} & Estimation of the distribution parameters \\ \hline {\em sampler} & Generate feasible solutions using the distribution \\ \hline {\em replacor} & Replace old solutions by new ones \\ \hline {\em pop\+\_\+continuator} & Stopping criterion based on the population features \\ \hline \end{DoxyParams} \doxysubsection{Member Function Documentation} \mbox{\Hypertarget{classedo_algo_adaptive_acc0fa6c131f85fe91fe308e24331f4d2}\label{classedo_algo_adaptive_acc0fa6c131f85fe91fe308e24331f4d2}} \index{edoAlgoAdaptive$<$ D $>$@{edoAlgoAdaptive$<$ D $>$}!operator()@{operator()}} \index{operator()@{operator()}!edoAlgoAdaptive$<$ D $>$@{edoAlgoAdaptive$<$ D $>$}} \doxysubsubsection{\texorpdfstring{operator()()}{operator()()}} {\footnotesize\ttfamily template$<$typename D $>$ \\ void \mbox{\hyperlink{classedo_algo_adaptive}{edo\+Algo\+Adaptive}}$<$ D $>$\+::operator() (\begin{DoxyParamCaption}\item[{\mbox{\hyperlink{classeo_pop}{eo\+Pop}}$<$ \mbox{\hyperlink{classedo_algo_adaptive_a440978fc8e1a2735a22401fe4a03d43d}{E\+O\+Type}} $>$ \&}]{pop }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}, {\ttfamily [virtual]}} Call the algorithm \begin{DoxyParams}{Parameters} {\em pop} & the population of candidate solutions \\ \hline \end{DoxyParams} \begin{DoxyReturn}{Returns} void \end{DoxyReturn} Implements \mbox{\hyperlink{classeo_u_f_a786e028409366dc273e19104f17ba68a}{eo\+U\+F$<$ eo\+Pop$<$ D\+::\+E\+O\+Type $>$ \&, void $>$}}. The documentation for this class was generated from the following file\+:\begin{DoxyCompactItemize} \item edo/src/edo\+Algo\+Adaptive.\+h\end{DoxyCompactItemize}