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\section{Paradis\-EO-MOEO Class List}
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Here are the classes, structs, unions and interfaces with brief descriptions:\begin{CompactList}
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\item\contentsline{section}{{\bf eo\-Additive\-Binary\-Epsilon\-Indicator$<$ EOFitness $>$} (Functor Additive binary epsilon indicator for {\bf eo\-Pareto\-Fitness} )}{\pageref{classeoAdditiveBinaryEpsilonIndicator}}{}
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\item\contentsline{section}{{\bf eo\-Binary\-Hypervolume\-Indicator$<$ EOFitness $>$} (Functor Binary hypervolume indicator for {\bf eo\-Pareto\-Fitness} )}{\pageref{classeoBinaryHypervolumeIndicator}}{}
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\item\contentsline{section}{{\bf eo\-Binary\-Quality\-Indicator$<$ EOFitness $>$} (Functor Binary quality indicator Binary performance measure to use in the replacement selection process of IBEA (Indicator-Based Evolutionary Algorithm) Of course, EOFitness needs to be an {\bf eo\-Pareto\-Fitness} object )}{\pageref{classeoBinaryQualityIndicator}}{}
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\item\contentsline{section}{{\bf eo\-Binary\-Quality\-Indicator$<$ EOFitness $>$::Range} (Private class to represent the bounds )}{\pageref{classeoBinaryQualityIndicator_1_1Range}}{}
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\item\contentsline{section}{{\bf eo\-IBEA$<$ EOT, Fitness $>$} (Functor The sorting phase of IBEA (Indicator-Based Evolutionary Algorithm) )}{\pageref{classeoIBEA}}{}
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\item\contentsline{section}{{\bf eo\-IBEAAvg\-Sorting$<$ EOT, Fitness\-Eval $>$} (Functor The sorting phase of IBEA (Indicator-Based Evolutionary Algorithm) under uncertainty using averaged values for each objective Follow the idea presented in the Deb \& Gupta paper \char`\"{}Searching for Robust Pareto-Optimal Solutions in Multi-Objective Optimization\char`\"{}, 2005 Of course, the fitness of an individual needs to be an eo\-Stochastic\-Pareto\-Fitness object )}{\pageref{classeoIBEAAvgSorting}}{}
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\item\contentsline{section}{{\bf eo\-IBEASorting$<$ EOT, Fitness $>$} (Functor The sorting phase of IBEA (Indicator-Based Evolutionary Algorithm) without uncertainty Adapted from the Zitzler and K\~{A}¼nzli paper \char`\"{}Indicator-Based Selection in Multiobjective Search\char`\"{} (2004) Of course, Fitness needs to be an {\bf eo\-Pareto\-Fitness} object )}{\pageref{classeoIBEASorting}}{}
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\item\contentsline{section}{{\bf eo\-IBEAStoch\-Sorting$<$ EOT, Fitness\-Eval $>$} (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 )}{\pageref{classeoIBEAStochSorting}}{}
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\item\contentsline{section}{{\bf eo\-Pareto\-Euclid\-Dist$<$ EOT, Dist\-Type $>$} }{\pageref{classeoParetoEuclidDist}}{}
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\item\contentsline{section}{{\bf eo\-Pareto\-Phen\-Dist$<$ EOT, Dist\-Type $>$} }{\pageref{classeoParetoPhenDist}}{}
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\item\contentsline{section}{{\bf eo\-Pareto\-Sharing$<$ EOT, worth\-T $>$} }{\pageref{classeoParetoSharing}}{}
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\item\contentsline{section}{{\bf eo\-Pareto\-Sharing$<$ EOT, worth\-T $>$::d\-Matrix} }{\pageref{classeoParetoSharing_1_1dMatrix}}{}
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\item\contentsline{section}{{\bf moeo\-Archive$<$ EOT $>$} (An archive is a secondary population that stores non-dominated solutions )}{\pageref{classmoeoArchive}}{}
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\item\contentsline{section}{{\bf moeo\-Archive\-Fitness\-Saving\-Updater$<$ EOT $>$} (This class allows to save the fitnesses of solutions contained in an archive into a file at each generation )}{\pageref{classmoeoArchiveFitnessSavingUpdater}}{}
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\item\contentsline{section}{{\bf moeo\-Archive\-Updater$<$ EOT $>$} (This class allows to update the archive at each generation with newly found non-dominated solutions )}{\pageref{classmoeoArchiveUpdater}}{}
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\item\contentsline{section}{{\bf moeo\-Binary\-Metric\-Saving\-Updater$<$ EOT $>$} (This class allows to save the progression of a binary metric comparing the fitness values of the current population (or archive) with the fitness values of the population (or archive) of the generation (n-1) into a file )}{\pageref{classmoeoBinaryMetricSavingUpdater}}{}
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\item\contentsline{section}{{\bf moeo\-BM$<$ A1, A2, R $>$} (Base class for binary metrics )}{\pageref{classmoeoBM}}{}
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\item\contentsline{section}{{\bf moeo\-Combined\-MOLS$<$ EOT $>$} (This class allows to embed a set of local searches that are sequentially applied, and so working and updating the same archive of non-dominated solutions )}{\pageref{classmoeoCombinedMOLS}}{}
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\item\contentsline{section}{{\bf moeo\-Contribution\-Metric$<$ EOT $>$} (The contribution metric evaluates the proportion of non-dominated solutions given by a Pareto set relatively to another Pareto set )}{\pageref{classmoeoContributionMetric}}{}
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\item\contentsline{section}{{\bf moeo\-Disctinct\-Elitist\-Replacement$<$ EOT, Worth\-T $>$} (Same than {\bf moeo\-Elitist\-Replacement}{\rm (p.\,\pageref{classmoeoElitistReplacement})} except that distinct individuals are privilegied )}{\pageref{classmoeoDisctinctElitistReplacement}}{}
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\item\contentsline{section}{{\bf moeo\-Elitist\-Replacement$<$ EOT, Worth\-T $>$} (Keep all the best individuals (almost cut-and-pasted from {\bf eo\-NDPlus\-Replacement}, (c) Maarten Keijzer, Marc Schoenauer and Ge\-Neura Team, 2002) )}{\pageref{classmoeoElitistReplacement}}{}
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\item\contentsline{section}{{\bf moeo\-Entropy\-Metric$<$ EOT $>$} (The entropy gives an idea of the diversity of a Pareto set relatively to another Pareto set )}{\pageref{classmoeoEntropyMetric}}{}
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\item\contentsline{section}{{\bf moeo\-Hybrid\-MOLS$<$ EOT $>$} (This class allows to apply a multi-objective local search to a number of selected individuals contained in the archive at every generation until a stopping criteria is verified )}{\pageref{classmoeoHybridMOLS}}{}
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\item\contentsline{section}{{\bf moeo\-Metric} (Base class for performance metrics (also called quality indicators) )}{\pageref{classmoeoMetric}}{}
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\item\contentsline{section}{{\bf moeo\-MOLS$<$ EOT $>$} (Abstract class for local searches applied to multi-objective optimization )}{\pageref{classmoeoMOLS}}{}
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\item\contentsline{section}{{\bf moeo\-NDSorting\_\-II$<$ EOT $>$} (Fast Elitist Non-Dominant Sorting Genetic Algorithm )}{\pageref{classmoeoNDSorting__II}}{}
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\item\contentsline{section}{{\bf moeo\-NDSorting\_\-II$<$ EOT $>$::compare\_\-nodes} }{\pageref{classmoeoNDSorting__II_1_1compare__nodes}}{}
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\item\contentsline{section}{{\bf moeo\-NSGA\_\-II$<$ EOT $>$} }{\pageref{classmoeoNSGA__II}}{}
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\item\contentsline{section}{{\bf moeo\-Replacement$<$ EOT, Worth\-T $>$} (Replacement strategy for multi-objective optimization )}{\pageref{classmoeoReplacement}}{}
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\item\contentsline{section}{{\bf moeo\-Select\-One\-From\-Pop\-And\-Arch$<$ EOT $>$} (Elitist selection process that consists in choosing individuals in the archive as well as in the current population )}{\pageref{classmoeoSelectOneFromPopAndArch}}{}
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\item\contentsline{section}{{\bf moeo\-Solution\-UM$<$ EOT, R, EOFitness $>$} (Base class for unary metrics dedicated to the performance evaluation of a single solution's Pareto fitness )}{\pageref{classmoeoSolutionUM}}{}
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\item\contentsline{section}{{\bf moeo\-Solution\-Vs\-Solution\-BM$<$ EOT, R, EOFitness $>$} (Base class for binary metrics dedicated to the performance comparison between two solutions's Pareto fitnesses )}{\pageref{classmoeoSolutionVsSolutionBM}}{}
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\item\contentsline{section}{{\bf moeo\-UM$<$ A, R $>$} (Base class for unary metrics )}{\pageref{classmoeoUM}}{}
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\item\contentsline{section}{{\bf moeo\-Vector\-UM$<$ EOT, R, EOFitness $>$} (Base class for unary metrics dedicated to the performance evaluation of a Pareto set (a vector of Pareto fitnesses) )}{\pageref{classmoeoVectorUM}}{}
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\item\contentsline{section}{{\bf moeo\-Vector\-Vs\-Solution\-BM$<$ EOT, R, EOFitness $>$} (Base class for binary metrics dedicated to the performance comparison between a Pareto set (a vector of Pareto fitnesses) and a single solution's Pareto fitness )}{\pageref{classmoeoVectorVsSolutionBM}}{}
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\item\contentsline{section}{{\bf moeo\-Vector\-Vs\-Vector\-BM$<$ EOT, R, EOFitness $>$} (Base class for binary metrics dedicated to the performance comparison between two Pareto sets (two vectors of Pareto fitnesses) )}{\pageref{classmoeoVectorVsVectorBM}}{}
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\end{CompactList}
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(eoAdditiveBinaryEpsilonIndicator< EOFitness >) cw
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\section{eo\-Additive\-Binary\-Epsilon\-Indicator$<$ EOFitness $>$ Class Template Reference}
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\label{classeoAdditiveBinaryEpsilonIndicator}\index{eoAdditiveBinaryEpsilonIndicator@{eoAdditiveBinaryEpsilonIndicator}}
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Functor Additive binary epsilon indicator for {\bf eo\-Pareto\-Fitness}.
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{\tt \#include $<$eo\-Binary\-Quality\-Indicator.h$>$}
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Inheritance diagram for eo\-Additive\-Binary\-Epsilon\-Indicator$<$ EOFitness $>$::\begin{figure}[H]
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\begin{center}
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\leavevmode
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\includegraphics[height=4cm]{classeoAdditiveBinaryEpsilonIndicator}
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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 eo\-Additive\-Binary\-Epsilon\-Indicator} ()\label{classeoAdditiveBinaryEpsilonIndicator_c76501f3d05bc3c1e9ccef6f9c465cb9}
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\begin{CompactList}\small\item\em constructor \item\end{CompactList}\item
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double {\bf operator()} (const EOFitness \&\_\-fitness\_\-eo1, const EOFitness \&\_\-fitness\_\-eo2)
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\begin{CompactList}\small\item\em computation of the maximum epsilon value by which individual \_\-eo1 must be decreased in all objectives such that individual \_\-eo2 is weakly dominated (do not forget to set the bounds before the call of this function) \item\end{CompactList}\end{CompactItemize}
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\subsection*{Private Types}
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\begin{CompactItemize}
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\item
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typedef EOFitness::fitness\_\-traits {\bf traits}\label{classeoAdditiveBinaryEpsilonIndicator_c6d4c79183683a05183a31fcb7f533f1}
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\begin{CompactList}\small\item\em fitness traits \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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double {\bf epsilon\-Value} (const EOFitness \&\_\-fitness\_\-eo1, const EOFitness \&\_\-fitness\_\-eo2, const unsigned \_\-i\-Obj)
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\begin{CompactList}\small\item\em computation of the epsilon value by which individual \_\-eo1 must be decreased in the objective \_\-i\-Obj such that individual \_\-eo2 is weakly dominated \item\end{CompactList}\end{CompactItemize}
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\subsection{Detailed Description}
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\subsubsection*{template$<$class EOFitness$>$ class eo\-Additive\-Binary\-Epsilon\-Indicator$<$ EOFitness $>$}
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Functor Additive binary epsilon indicator for {\bf eo\-Pareto\-Fitness}.
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Definition at line 126 of file eo\-Binary\-Quality\-Indicator.h.
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\subsection{Member Function Documentation}
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\index{eoAdditiveBinaryEpsilonIndicator@{eo\-Additive\-Binary\-Epsilon\-Indicator}!operator()@{operator()}}
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\index{operator()@{operator()}!eoAdditiveBinaryEpsilonIndicator@{eo\-Additive\-Binary\-Epsilon\-Indicator}}
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\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOFitness$>$ double {\bf eo\-Additive\-Binary\-Epsilon\-Indicator}$<$ EOFitness $>$::operator() (const EOFitness \& {\em \_\-fitness\_\-eo1}, const EOFitness \& {\em \_\-fitness\_\-eo2})\hspace{0.3cm}{\tt [inline, virtual]}}\label{classeoAdditiveBinaryEpsilonIndicator_5fd885a2a555e26706174a44ef636f4d}
|
||||
|
||||
|
||||
computation of the maximum epsilon value by which individual \_\-eo1 must be decreased in all objectives such that individual \_\-eo2 is weakly dominated (do not forget to set the bounds before the call of this function)
|
||||
|
||||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em EOFitness}]\& \_\-fitness\_\-eo1 the fitness of the first individual \item[{\em EOFitness}]\& \_\-fitness\_\-eo2 the fitness of the second individual \end{description}
|
||||
\end{Desc}
|
||||
|
||||
|
||||
Implements {\bf eo\-BF$<$ const EOFitness \&, const EOFitness \&, double $>$}.
|
||||
|
||||
Definition at line 149 of file eo\-Binary\-Quality\-Indicator.h.
|
||||
|
||||
References eo\-Additive\-Binary\-Epsilon\-Indicator$<$ EOFitness $>$::epsilon\-Value().\index{eoAdditiveBinaryEpsilonIndicator@{eo\-Additive\-Binary\-Epsilon\-Indicator}!epsilonValue@{epsilonValue}}
|
||||
\index{epsilonValue@{epsilonValue}!eoAdditiveBinaryEpsilonIndicator@{eo\-Additive\-Binary\-Epsilon\-Indicator}}
|
||||
\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOFitness$>$ double {\bf eo\-Additive\-Binary\-Epsilon\-Indicator}$<$ EOFitness $>$::epsilon\-Value (const EOFitness \& {\em \_\-fitness\_\-eo1}, const EOFitness \& {\em \_\-fitness\_\-eo2}, const unsigned {\em \_\-i\-Obj})\hspace{0.3cm}{\tt [inline, private]}}\label{classeoAdditiveBinaryEpsilonIndicator_8f35162769a1b23ada83e5fb21cc74e7}
|
||||
|
||||
|
||||
computation of the epsilon value by which individual \_\-eo1 must be decreased in the objective \_\-i\-Obj such that individual \_\-eo2 is weakly dominated
|
||||
|
||||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em EOFitness}]\& \_\-fitness\_\-eo1 the fitness of the first individual \item[{\em EOFitness}]\& \_\-fitness\_\-eo2 the fitness of the second individual \item[{\em unsigned}]\_\-i\-Obj the index of the objective \end{description}
|
||||
\end{Desc}
|
||||
|
||||
|
||||
Definition at line 181 of file eo\-Binary\-Quality\-Indicator.h.
|
||||
|
||||
Referenced by eo\-Additive\-Binary\-Epsilon\-Indicator$<$ EOFitness $>$::operator()().
|
||||
|
||||
The documentation for this class was generated from the following file:\begin{CompactItemize}
|
||||
\item
|
||||
eo\-Binary\-Quality\-Indicator.h\end{CompactItemize}
|
||||
|
|
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% ----- main ------
|
||||
|
||||
boxfont setfont
|
||||
1 boundaspect scale
|
||||
(eoBinaryHypervolumeIndicator< EOFitness >) cw
|
||||
(eoBinaryQualityIndicator< EOFitness >) cw
|
||||
(eoBF< const EOFitness &, const EOFitness &, double >) cw
|
||||
(eoFunctorBase) cw
|
||||
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|
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|
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% ----- classes -----
|
||||
|
||||
(eoBinaryHypervolumeIndicator< EOFitness >) 0 0 box
|
||||
(eoBinaryQualityIndicator< EOFitness >) 0 1 box
|
||||
(eoBF< const EOFitness &, const EOFitness &, double >) 0 2 box
|
||||
(eoFunctorBase) 0 3 box
|
||||
|
||||
% ----- relations -----
|
||||
|
||||
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|
||||
|
|
@ -0,0 +1,149 @@
|
|||
\section{eo\-Binary\-Hypervolume\-Indicator$<$ EOFitness $>$ Class Template Reference}
|
||||
\label{classeoBinaryHypervolumeIndicator}\index{eoBinaryHypervolumeIndicator@{eoBinaryHypervolumeIndicator}}
|
||||
Functor Binary hypervolume indicator for {\bf eo\-Pareto\-Fitness}.
|
||||
|
||||
|
||||
{\tt \#include $<$eo\-Binary\-Quality\-Indicator.h$>$}
|
||||
|
||||
Inheritance diagram for eo\-Binary\-Hypervolume\-Indicator$<$ EOFitness $>$::\begin{figure}[H]
|
||||
\begin{center}
|
||||
\leavevmode
|
||||
\includegraphics[height=4cm]{classeoBinaryHypervolumeIndicator}
|
||||
\end{center}
|
||||
\end{figure}
|
||||
\subsection*{Public Member Functions}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
{\bf eo\-Binary\-Hypervolume\-Indicator} (double \_\-rho)
|
||||
\begin{CompactList}\small\item\em constructor \item\end{CompactList}\item
|
||||
double {\bf operator()} (const EOFitness \&\_\-fitness\_\-eo1, const EOFitness \&\_\-fitness\_\-eo2)
|
||||
\begin{CompactList}\small\item\em indicator value of the hypervolume of the portion of the objective space that is dominated by individual \_\-eo1 but not by individual \_\-eo2 (don't forget to set the bounds before the call of this function) \item\end{CompactList}\end{CompactItemize}
|
||||
\subsection*{Private Types}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
typedef EOFitness::fitness\_\-traits {\bf traits}\label{classeoBinaryHypervolumeIndicator_abde225206c55671bd585cc41cbfab1c}
|
||||
|
||||
\begin{CompactList}\small\item\em fitness traits \item\end{CompactList}\end{CompactItemize}
|
||||
\subsection*{Private Member Functions}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
double {\bf hypervolume\-Indicator\-Value} (const EOFitness \&\_\-fitness\_\-eo1, const EOFitness \&\_\-fitness\_\-eo2, const unsigned \_\-i\-Obj, const bool \_\-flag=false)
|
||||
\begin{CompactList}\small\item\em computation of the hypervolume of the portion of the objective space that is dominated by individual \_\-eo1 but not by individual \_\-eo2 \item\end{CompactList}\item
|
||||
double {\bf hypervolume\-Indicator\-Value\-Min} (const EOFitness \&\_\-fitness\_\-eo1, const EOFitness \&\_\-fitness\_\-eo2, const unsigned \_\-i\-Obj, const bool \_\-flag)
|
||||
\begin{CompactList}\small\item\em computation of the hypervolume of the portion of the objective space that is dominated by individual \_\-eo1 but not by individual \_\-eo2 in case of a minimization on the objective \_\-i\-Obj \item\end{CompactList}\item
|
||||
double {\bf hypervolume\-Indicator\-Value\-Max} (const EOFitness \&\_\-fitness\_\-eo1, const EOFitness \&\_\-fitness\_\-eo2, const unsigned \_\-i\-Obj, const bool \_\-flag)
|
||||
\begin{CompactList}\small\item\em computation of the hypervolume of the portion of the objective space that is dominated by individual \_\-eo1 but not by individual \_\-eo2 in case of a maximization on the objective \_\-i\-Obj \item\end{CompactList}\end{CompactItemize}
|
||||
\subsection*{Private Attributes}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
double {\bf rho}\label{classeoBinaryHypervolumeIndicator_02fdfd1b2aa8071cdd3d395777d709a5}
|
||||
|
||||
\begin{CompactList}\small\item\em reference point for the hypervolume calculation \item\end{CompactList}\end{CompactItemize}
|
||||
|
||||
|
||||
\subsection{Detailed Description}
|
||||
\subsubsection*{template$<$class EOFitness$>$ class eo\-Binary\-Hypervolume\-Indicator$<$ EOFitness $>$}
|
||||
|
||||
Functor Binary hypervolume indicator for {\bf eo\-Pareto\-Fitness}.
|
||||
|
||||
|
||||
|
||||
Definition at line 217 of file eo\-Binary\-Quality\-Indicator.h.
|
||||
|
||||
\subsection{Constructor \& Destructor Documentation}
|
||||
\index{eoBinaryHypervolumeIndicator@{eo\-Binary\-Hypervolume\-Indicator}!eoBinaryHypervolumeIndicator@{eoBinaryHypervolumeIndicator}}
|
||||
\index{eoBinaryHypervolumeIndicator@{eoBinaryHypervolumeIndicator}!eoBinaryHypervolumeIndicator@{eo\-Binary\-Hypervolume\-Indicator}}
|
||||
\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOFitness$>$ {\bf eo\-Binary\-Hypervolume\-Indicator}$<$ EOFitness $>$::{\bf eo\-Binary\-Hypervolume\-Indicator} (double {\em \_\-rho})\hspace{0.3cm}{\tt [inline]}}\label{classeoBinaryHypervolumeIndicator_8b1dedf93c1936ea7efa9b19913d8773}
|
||||
|
||||
|
||||
constructor
|
||||
|
||||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em double}]\_\-rho reference point for the hypervolume calculation (rho must not be smaller than 1) \end{description}
|
||||
\end{Desc}
|
||||
|
||||
|
||||
Definition at line 227 of file eo\-Binary\-Quality\-Indicator.h.
|
||||
|
||||
References eo\-Binary\-Hypervolume\-Indicator$<$ EOFitness $>$::rho.
|
||||
|
||||
\subsection{Member Function Documentation}
|
||||
\index{eoBinaryHypervolumeIndicator@{eo\-Binary\-Hypervolume\-Indicator}!operator()@{operator()}}
|
||||
\index{operator()@{operator()}!eoBinaryHypervolumeIndicator@{eo\-Binary\-Hypervolume\-Indicator}}
|
||||
\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOFitness$>$ double {\bf eo\-Binary\-Hypervolume\-Indicator}$<$ EOFitness $>$::operator() (const EOFitness \& {\em \_\-fitness\_\-eo1}, const EOFitness \& {\em \_\-fitness\_\-eo2})\hspace{0.3cm}{\tt [inline, virtual]}}\label{classeoBinaryHypervolumeIndicator_d418f42f086a3221c60ad9149b5df9d0}
|
||||
|
||||
|
||||
indicator value of the hypervolume of the portion of the objective space that is dominated by individual \_\-eo1 but not by individual \_\-eo2 (don't forget to set the bounds before the call of this function)
|
||||
|
||||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em EOFitness}]\& \_\-fitness\_\-eo1 the fitness of the first individual \item[{\em EOFitness}]\& \_\-fitness\_\-eo2 the fitness of the second individual \end{description}
|
||||
\end{Desc}
|
||||
|
||||
|
||||
Implements {\bf eo\-BF$<$ const EOFitness \&, const EOFitness \&, double $>$}.
|
||||
|
||||
Definition at line 250 of file eo\-Binary\-Quality\-Indicator.h.
|
||||
|
||||
References eo\-Binary\-Hypervolume\-Indicator$<$ EOFitness $>$::hypervolume\-Indicator\-Value().\index{eoBinaryHypervolumeIndicator@{eo\-Binary\-Hypervolume\-Indicator}!hypervolumeIndicatorValue@{hypervolumeIndicatorValue}}
|
||||
\index{hypervolumeIndicatorValue@{hypervolumeIndicatorValue}!eoBinaryHypervolumeIndicator@{eo\-Binary\-Hypervolume\-Indicator}}
|
||||
\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOFitness$>$ double {\bf eo\-Binary\-Hypervolume\-Indicator}$<$ EOFitness $>$::hypervolume\-Indicator\-Value (const EOFitness \& {\em \_\-fitness\_\-eo1}, const EOFitness \& {\em \_\-fitness\_\-eo2}, const unsigned {\em \_\-i\-Obj}, const bool {\em \_\-flag} = {\tt false})\hspace{0.3cm}{\tt [inline, private]}}\label{classeoBinaryHypervolumeIndicator_9c12e672eaf7ed2b17cab9b96af911e6}
|
||||
|
||||
|
||||
computation of the hypervolume of the portion of the objective space that is dominated by individual \_\-eo1 but not by individual \_\-eo2
|
||||
|
||||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em EOFitness}]\& \_\-fitness\_\-eo1 the fitness of the first individual \item[{\em EOFitness}]\& \_\-fitness\_\-eo2 the fitness of the second individual \item[{\em unsigned}]\_\-i\-Obj number of objectives (used for iteration) \item[{\em bool}]\_\-flag = false (only used for iteration) \end{description}
|
||||
\end{Desc}
|
||||
|
||||
|
||||
Definition at line 285 of file eo\-Binary\-Quality\-Indicator.h.
|
||||
|
||||
References eo\-Binary\-Quality\-Indicator$<$ EOFitness $>$::bounds, eo\-Binary\-Hypervolume\-Indicator$<$ EOFitness $>$::hypervolume\-Indicator\-Value\-Max(), and eo\-Binary\-Hypervolume\-Indicator$<$ EOFitness $>$::hypervolume\-Indicator\-Value\-Min().
|
||||
|
||||
Referenced by eo\-Binary\-Hypervolume\-Indicator$<$ EOFitness $>$::hypervolume\-Indicator\-Value\-Max(), eo\-Binary\-Hypervolume\-Indicator$<$ EOFitness $>$::hypervolume\-Indicator\-Value\-Min(), and eo\-Binary\-Hypervolume\-Indicator$<$ EOFitness $>$::operator()().\index{eoBinaryHypervolumeIndicator@{eo\-Binary\-Hypervolume\-Indicator}!hypervolumeIndicatorValueMin@{hypervolumeIndicatorValueMin}}
|
||||
\index{hypervolumeIndicatorValueMin@{hypervolumeIndicatorValueMin}!eoBinaryHypervolumeIndicator@{eo\-Binary\-Hypervolume\-Indicator}}
|
||||
\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOFitness$>$ double {\bf eo\-Binary\-Hypervolume\-Indicator}$<$ EOFitness $>$::hypervolume\-Indicator\-Value\-Min (const EOFitness \& {\em \_\-fitness\_\-eo1}, const EOFitness \& {\em \_\-fitness\_\-eo2}, const unsigned {\em \_\-i\-Obj}, const bool {\em \_\-flag})\hspace{0.3cm}{\tt [inline, private]}}\label{classeoBinaryHypervolumeIndicator_6c9b9a5279ad7894b4563e205f13e98b}
|
||||
|
||||
|
||||
computation of the hypervolume of the portion of the objective space that is dominated by individual \_\-eo1 but not by individual \_\-eo2 in case of a minimization on the objective \_\-i\-Obj
|
||||
|
||||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em EOFitness}]\& \_\-fitness\_\-eo1 the fitness of the first individual \item[{\em EOFitness}]\& \_\-fitness\_\-eo2 the fitness of the second individual \item[{\em unsigned}]\_\-i\-Obj index of the objective \item[{\em bool}]\_\-flag (only used for iteration) \end{description}
|
||||
\end{Desc}
|
||||
|
||||
|
||||
Definition at line 320 of file eo\-Binary\-Quality\-Indicator.h.
|
||||
|
||||
References eo\-Binary\-Quality\-Indicator$<$ EOFitness $>$::bounds, eo\-Binary\-Hypervolume\-Indicator$<$ EOFitness $>$::hypervolume\-Indicator\-Value(), and eo\-Binary\-Hypervolume\-Indicator$<$ EOFitness $>$::rho.
|
||||
|
||||
Referenced by eo\-Binary\-Hypervolume\-Indicator$<$ EOFitness $>$::hypervolume\-Indicator\-Value().\index{eoBinaryHypervolumeIndicator@{eo\-Binary\-Hypervolume\-Indicator}!hypervolumeIndicatorValueMax@{hypervolumeIndicatorValueMax}}
|
||||
\index{hypervolumeIndicatorValueMax@{hypervolumeIndicatorValueMax}!eoBinaryHypervolumeIndicator@{eo\-Binary\-Hypervolume\-Indicator}}
|
||||
\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOFitness$>$ double {\bf eo\-Binary\-Hypervolume\-Indicator}$<$ EOFitness $>$::hypervolume\-Indicator\-Value\-Max (const EOFitness \& {\em \_\-fitness\_\-eo1}, const EOFitness \& {\em \_\-fitness\_\-eo2}, const unsigned {\em \_\-i\-Obj}, const bool {\em \_\-flag})\hspace{0.3cm}{\tt [inline, private]}}\label{classeoBinaryHypervolumeIndicator_df2903822dbcd0a906dabf4cb6e05bfb}
|
||||
|
||||
|
||||
computation of the hypervolume of the portion of the objective space that is dominated by individual \_\-eo1 but not by individual \_\-eo2 in case of a maximization on the objective \_\-i\-Obj
|
||||
|
||||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em EOFitness}]\& \_\-fitness\_\-eo1 the fitness of the first individual \item[{\em EOFitness}]\& \_\-fitness\_\-eo2 the fitness of the second individual \item[{\em unsigned}]\_\-i\-Obj index of the objective \item[{\em bool}]\_\-flag (only used for iteration) \end{description}
|
||||
\end{Desc}
|
||||
|
||||
|
||||
Definition at line 374 of file eo\-Binary\-Quality\-Indicator.h.
|
||||
|
||||
References eo\-Binary\-Quality\-Indicator$<$ EOFitness $>$::bounds, eo\-Binary\-Hypervolume\-Indicator$<$ EOFitness $>$::hypervolume\-Indicator\-Value(), and eo\-Binary\-Hypervolume\-Indicator$<$ EOFitness $>$::rho.
|
||||
|
||||
Referenced by eo\-Binary\-Hypervolume\-Indicator$<$ EOFitness $>$::hypervolume\-Indicator\-Value().
|
||||
|
||||
The documentation for this class was generated from the following file:\begin{CompactItemize}
|
||||
\item
|
||||
eo\-Binary\-Quality\-Indicator.h\end{CompactItemize}
|
||||
|
|
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% ----- main ------
|
||||
|
||||
boxfont setfont
|
||||
1 boundaspect scale
|
||||
(eoBinaryQualityIndicator< EOFitness >) cw
|
||||
(eoBF< const EOFitness &, const EOFitness &, double >) cw
|
||||
(eoFunctorBase) cw
|
||||
(eoAdditiveBinaryEpsilonIndicator< EOFitness >) cw
|
||||
(eoBinaryHypervolumeIndicator< EOFitness >) cw
|
||||
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|
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|
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boundx scalefactor div boundy scalefactor div scale
|
||||
|
||||
% ----- classes -----
|
||||
|
||||
(eoBinaryQualityIndicator< EOFitness >) 0.5 1 box
|
||||
(eoBF< const EOFitness &, const EOFitness &, double >) 0.5 2 box
|
||||
(eoFunctorBase) 0.5 3 box
|
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(eoAdditiveBinaryEpsilonIndicator< EOFitness >) 0 0 box
|
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(eoBinaryHypervolumeIndicator< EOFitness >) 1 0 box
|
||||
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||||
% ----- relations -----
|
||||
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||||
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|
|
@ -0,0 +1,69 @@
|
|||
\section{eo\-Binary\-Quality\-Indicator$<$ EOFitness $>$ Class Template Reference}
|
||||
\label{classeoBinaryQualityIndicator}\index{eoBinaryQualityIndicator@{eoBinaryQualityIndicator}}
|
||||
Functor Binary quality indicator Binary performance measure to use in the replacement selection process of IBEA (Indicator-Based Evolutionary Algorithm) Of course, EOFitness needs to be an {\bf eo\-Pareto\-Fitness} object.
|
||||
|
||||
|
||||
{\tt \#include $<$eo\-Binary\-Quality\-Indicator.h$>$}
|
||||
|
||||
Inheritance diagram for eo\-Binary\-Quality\-Indicator$<$ EOFitness $>$::\begin{figure}[H]
|
||||
\begin{center}
|
||||
\leavevmode
|
||||
\includegraphics[height=3.25581cm]{classeoBinaryQualityIndicator}
|
||||
\end{center}
|
||||
\end{figure}
|
||||
\subsection*{Public Member Functions}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
{\bf eo\-Binary\-Quality\-Indicator} ()\label{classeoBinaryQualityIndicator_e138f133fb4a5024b2e31f1544b4739a}
|
||||
|
||||
\begin{CompactList}\small\item\em constructor \item\end{CompactList}\item
|
||||
void {\bf set\-Bounds} (const unsigned \_\-i\-Obj, const double \_\-min, const double \_\-max)
|
||||
\begin{CompactList}\small\item\em set the bounds for objective \_\-i\-Obj \item\end{CompactList}\end{CompactItemize}
|
||||
\subsection*{Protected Attributes}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
std::vector$<$ {\bf Range} $>$ {\bf bounds}\label{classeoBinaryQualityIndicator_aa9bb224ab744a00271577a10518581a}
|
||||
|
||||
\begin{CompactList}\small\item\em range (min and max double value) for each objective \item\end{CompactList}\end{CompactItemize}
|
||||
\subsection*{Private Types}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
typedef EOFitness::fitness\_\-traits {\bf traits}\label{classeoBinaryQualityIndicator_3d9415cfa63d3dd57fe44f9e11df3cac}
|
||||
|
||||
\begin{CompactList}\small\item\em fitness traits \item\end{CompactList}\end{CompactItemize}
|
||||
\subsection*{Classes}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
class {\bf Range}
|
||||
\begin{CompactList}\small\item\em Private class to represent the bounds. \item\end{CompactList}\end{CompactItemize}
|
||||
|
||||
|
||||
\subsection{Detailed Description}
|
||||
\subsubsection*{template$<$class EOFitness$>$ class eo\-Binary\-Quality\-Indicator$<$ EOFitness $>$}
|
||||
|
||||
Functor Binary quality indicator Binary performance measure to use in the replacement selection process of IBEA (Indicator-Based Evolutionary Algorithm) Of course, EOFitness needs to be an {\bf eo\-Pareto\-Fitness} object.
|
||||
|
||||
|
||||
|
||||
Definition at line 39 of file eo\-Binary\-Quality\-Indicator.h.
|
||||
|
||||
\subsection{Member Function Documentation}
|
||||
\index{eoBinaryQualityIndicator@{eo\-Binary\-Quality\-Indicator}!setBounds@{setBounds}}
|
||||
\index{setBounds@{setBounds}!eoBinaryQualityIndicator@{eo\-Binary\-Quality\-Indicator}}
|
||||
\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOFitness$>$ void {\bf eo\-Binary\-Quality\-Indicator}$<$ EOFitness $>$::set\-Bounds (const unsigned {\em \_\-i\-Obj}, const double {\em \_\-min}, const double {\em \_\-max})\hspace{0.3cm}{\tt [inline]}}\label{classeoBinaryQualityIndicator_ed08c328526eb4c1c8cfde8b6938ece9}
|
||||
|
||||
|
||||
set the bounds for objective \_\-i\-Obj
|
||||
|
||||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em unsigned}]\_\-i\-Obj the index of the objective \item[{\em double}]\_\-min the minimum value \item[{\em double}]\_\-max the maximum value \end{description}
|
||||
\end{Desc}
|
||||
|
||||
|
||||
Definition at line 62 of file eo\-Binary\-Quality\-Indicator.h.
|
||||
|
||||
The documentation for this class was generated from the following file:\begin{CompactItemize}
|
||||
\item
|
||||
eo\-Binary\-Quality\-Indicator.h\end{CompactItemize}
|
||||
|
|
@ -0,0 +1,51 @@
|
|||
\section{eo\-Binary\-Quality\-Indicator$<$ EOFitness $>$::Range Class Reference}
|
||||
\label{classeoBinaryQualityIndicator_1_1Range}\index{eoBinaryQualityIndicator::Range@{eoBinaryQualityIndicator::Range}}
|
||||
Private class to represent the bounds.
|
||||
|
||||
|
||||
{\tt \#include $<$eo\-Binary\-Quality\-Indicator.h$>$}
|
||||
|
||||
\subsection*{Public Member Functions}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
{\bf Range} ()\label{classeoBinaryQualityIndicator_1_1Range_75dfd77019095fa4993ad3187ac44006}
|
||||
|
||||
\item
|
||||
{\bf Range} (const double \_\-min, const double \_\-max)\label{classeoBinaryQualityIndicator_1_1Range_111b9a6b682bd0270039cce7d1a847ca}
|
||||
|
||||
\item
|
||||
double {\bf minimum} ()\label{classeoBinaryQualityIndicator_1_1Range_f9554f81819461f9ad56c12a93259803}
|
||||
|
||||
\item
|
||||
double {\bf maximum} ()\label{classeoBinaryQualityIndicator_1_1Range_790f08b55cdd69213886de198b2bcc5f}
|
||||
|
||||
\item
|
||||
double {\bf range} ()\label{classeoBinaryQualityIndicator_1_1Range_a432e7dbdb691ce4e6ee6d6a224e469f}
|
||||
|
||||
\end{CompactItemize}
|
||||
\subsection*{Private Attributes}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
double {\bf min}\label{classeoBinaryQualityIndicator_1_1Range_e233e32a9b7cb73ef5dbe06a204482ec}
|
||||
|
||||
\item
|
||||
double {\bf max}\label{classeoBinaryQualityIndicator_1_1Range_63c9473e163e3c0c6d5a0327252786b1}
|
||||
|
||||
\item
|
||||
double {\bf r}\label{classeoBinaryQualityIndicator_1_1Range_101eaf7a60e7243df169c7fde6087342}
|
||||
|
||||
\end{CompactItemize}
|
||||
|
||||
|
||||
\subsection{Detailed Description}
|
||||
\subsubsection*{template$<$class EOFitness$>$ class eo\-Binary\-Quality\-Indicator$<$ EOFitness $>$::Range}
|
||||
|
||||
Private class to represent the bounds.
|
||||
|
||||
|
||||
|
||||
Definition at line 73 of file eo\-Binary\-Quality\-Indicator.h.
|
||||
|
||||
The documentation for this class was generated from the following file:\begin{CompactItemize}
|
||||
\item
|
||||
eo\-Binary\-Quality\-Indicator.h\end{CompactItemize}
|
||||
233
trunk/paradiseo-moeo/docs/latex/classeoIBEA.eps
Normal file
233
trunk/paradiseo-moeo/docs/latex/classeoIBEA.eps
Normal file
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||||
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|
||||
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||||
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|
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|
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|
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|
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|
||||
% ----- procedures -----
|
||||
|
||||
/dotted { [1 4] 0 setdash } def
|
||||
/dashed { [5] 0 setdash } def
|
||||
/solid { [] 0 setdash } def
|
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|
||||
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|
||||
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|
||||
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|
||||
/b exch def
|
||||
a b gt {a} {b} ifelse
|
||||
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|
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|
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|
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{
|
||||
0 scalefactor boxwidth cols mul distx cols 1 sub mul add sub 2 div max
|
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|
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|
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/cw % boxwidth = MAX(boxwidth, stringwidth(arg1))
|
||||
{
|
||||
/str exch def
|
||||
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|
||||
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|
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|
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{ gsave
|
||||
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|
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|
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|
||||
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|
||||
moveto
|
||||
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|
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0 boxheight rlineto
|
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|
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|
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|
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|
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|
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|
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|
||||
exch yspacing mul
|
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|
||||
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|
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|
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|
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eofill
|
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|
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|
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|
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|
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{ newpath
|
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moveto
|
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3 -8 rlineto
|
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3 8 rlineto
|
||||
closepath
|
||||
eofill
|
||||
stroke
|
||||
} def
|
||||
|
||||
/out % draws an output connector for the block at (arg1,arg2)
|
||||
{
|
||||
newpath
|
||||
exch xspacing mul xoffset add boxwidth 2 div add
|
||||
exch yspacing mul boxheight add
|
||||
/y exch def
|
||||
/x exch def
|
||||
x y moveto
|
||||
0 disty 2 div rlineto
|
||||
stroke
|
||||
1 eq { x y disty 2 div add arrow } if
|
||||
} def
|
||||
|
||||
/in % draws an input connector for the block at (arg1,arg2)
|
||||
{
|
||||
newpath
|
||||
exch xspacing mul xoffset add boxwidth 2 div add
|
||||
exch yspacing mul disty 2 div sub
|
||||
/y exch def
|
||||
/x exch def
|
||||
x y moveto
|
||||
0 disty 2 div rlineto
|
||||
stroke
|
||||
1 eq { x y disty 2 div add arrow } if
|
||||
} def
|
||||
|
||||
/hedge
|
||||
{
|
||||
exch xspacing mul xoffset add boxwidth 2 div add
|
||||
exch yspacing mul boxheight 2 div sub
|
||||
/y exch def
|
||||
/x exch def
|
||||
newpath
|
||||
x y moveto
|
||||
boxwidth 2 div distx add 0 rlineto
|
||||
stroke
|
||||
1 eq
|
||||
{ newpath x boxwidth 2 div distx add add y moveto
|
||||
-8 3 rlineto
|
||||
0 -6 rlineto
|
||||
8 3 rlineto
|
||||
closepath
|
||||
eofill
|
||||
stroke
|
||||
} if
|
||||
} def
|
||||
|
||||
/vedge
|
||||
{
|
||||
/ye exch def
|
||||
/ys exch def
|
||||
/xs exch def
|
||||
newpath
|
||||
xs xspacing mul xoffset add boxwidth 2 div add dup
|
||||
ys yspacing mul boxheight 2 div sub
|
||||
moveto
|
||||
ye yspacing mul boxheight 2 div sub
|
||||
lineto
|
||||
stroke
|
||||
} def
|
||||
|
||||
/conn % connections the blocks from col `arg1' to `arg2' of row `arg3'
|
||||
{
|
||||
/ys exch def
|
||||
/xe exch def
|
||||
/xs exch def
|
||||
newpath
|
||||
xs xspacing mul xoffset add boxwidth 2 div add
|
||||
ys yspacing mul disty 2 div sub
|
||||
moveto
|
||||
xspacing xe xs sub mul 0
|
||||
rlineto
|
||||
stroke
|
||||
} def
|
||||
|
||||
% ----- main ------
|
||||
|
||||
boxfont setfont
|
||||
1 boundaspect scale
|
||||
(eoIBEA< EOT, Fitness >) cw
|
||||
(eoPerf2WorthCached< EOT, double >) cw
|
||||
(eoPerf2Worth< EOT, WorthT >) cw
|
||||
(eoUF< const eoPop< EOT > &, void >) cw
|
||||
(eoValueParam< std::vector< WorthT > >) cw
|
||||
(eoFunctorBase) cw
|
||||
(eoParam) cw
|
||||
(eoIBEASorting< EOT, Fitness >) cw
|
||||
/boxwidth boxwidth marginwidth 2 mul add def
|
||||
/xspacing boxwidth distx add def
|
||||
/yspacing boxheight disty add def
|
||||
/scalefactor
|
||||
boxwidth cols mul distx cols 1 sub mul add
|
||||
boxheight rows mul disty rows 1 sub mul add boundaspect mul
|
||||
max def
|
||||
boundx scalefactor div boundy scalefactor div scale
|
||||
|
||||
% ----- classes -----
|
||||
|
||||
(eoIBEA< EOT, Fitness >) 0.5 1 box
|
||||
(eoPerf2WorthCached< EOT, double >) 0.5 2 box
|
||||
(eoPerf2Worth< EOT, WorthT >) 0.5 3 box
|
||||
(eoUF< const eoPop< EOT > &, void >) 0 4 box
|
||||
(eoValueParam< std::vector< WorthT > >) 1 4 box
|
||||
(eoFunctorBase) 0 5 box
|
||||
(eoParam) 1 5 box
|
||||
(eoIBEASorting< EOT, Fitness >) 0.5 0 box
|
||||
|
||||
% ----- relations -----
|
||||
|
||||
solid
|
||||
0 0.5 1 out
|
||||
solid
|
||||
1 0.5 2 in
|
||||
solid
|
||||
0 0.5 2 out
|
||||
solid
|
||||
1 0.5 3 in
|
||||
solid
|
||||
0 0.5 3 out
|
||||
solid
|
||||
0 1 4 conn
|
||||
solid
|
||||
1 0 4 in
|
||||
solid
|
||||
0 0 4 out
|
||||
solid
|
||||
1 1 4 in
|
||||
solid
|
||||
0 1 4 out
|
||||
solid
|
||||
1 0 5 in
|
||||
solid
|
||||
1 1 5 in
|
||||
solid
|
||||
1 0.5 0.25 out
|
||||
solid
|
||||
0 0.5 0.75 in
|
||||
60
trunk/paradiseo-moeo/docs/latex/classeoIBEA.tex
Normal file
60
trunk/paradiseo-moeo/docs/latex/classeoIBEA.tex
Normal file
|
|
@ -0,0 +1,60 @@
|
|||
\section{eo\-IBEA$<$ EOT, Fitness $>$ Class Template Reference}
|
||||
\label{classeoIBEA}\index{eoIBEA@{eoIBEA}}
|
||||
Functor The sorting phase of IBEA (Indicator-Based Evolutionary Algorithm).
|
||||
|
||||
|
||||
{\tt \#include $<$eo\-IBEA.h$>$}
|
||||
|
||||
Inheritance diagram for eo\-IBEA$<$ EOT, Fitness $>$::\begin{figure}[H]
|
||||
\begin{center}
|
||||
\leavevmode
|
||||
\includegraphics[height=6cm]{classeoIBEA}
|
||||
\end{center}
|
||||
\end{figure}
|
||||
\subsection*{Public Member Functions}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
{\bf eo\-IBEA} ({\bf eo\-Binary\-Quality\-Indicator}$<$ Fitness $>$ $\ast$\_\-I)\label{classeoIBEA_703833c1f773136b24d2ca5c7cff4b2d}
|
||||
|
||||
\item
|
||||
void {\bf calculate\_\-worths} (const {\bf eo\-Pop}$<$ EOT $>$ \&\_\-pop)
|
||||
\begin{CompactList}\small\item\em mapping \item\end{CompactList}\end{CompactItemize}
|
||||
\subsection*{Protected Attributes}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
{\bf eo\-Binary\-Quality\-Indicator}$<$ Fitness $>$ $\ast$ {\bf I}\label{classeoIBEA_f69a9efad202b67ee51d538d14d587e6}
|
||||
|
||||
\begin{CompactList}\small\item\em binary quality indicator to use in the selection process \item\end{CompactList}\end{CompactItemize}
|
||||
|
||||
|
||||
\subsection{Detailed Description}
|
||||
\subsubsection*{template$<$class EOT, class Fitness$>$ class eo\-IBEA$<$ EOT, Fitness $>$}
|
||||
|
||||
Functor The sorting phase of IBEA (Indicator-Based Evolutionary Algorithm).
|
||||
|
||||
|
||||
|
||||
Definition at line 38 of file eo\-IBEA.h.
|
||||
|
||||
\subsection{Member Function Documentation}
|
||||
\index{eoIBEA@{eo\-IBEA}!calculate_worths@{calculate\_\-worths}}
|
||||
\index{calculate_worths@{calculate\_\-worths}!eoIBEA@{eo\-IBEA}}
|
||||
\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOT, class Fitness$>$ void {\bf eo\-IBEA}$<$ EOT, Fitness $>$::calculate\_\-worths (const {\bf eo\-Pop}$<$ EOT $>$ \& {\em \_\-pop})\hspace{0.3cm}{\tt [inline, virtual]}}\label{classeoIBEA_e6b7c15e38822bef261c545b498eabef}
|
||||
|
||||
|
||||
mapping
|
||||
|
||||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em const}]eo\-Pop$<$EOT$>$\& \_\-pop the population \end{description}
|
||||
\end{Desc}
|
||||
|
||||
|
||||
Implements {\bf eo\-Perf2Worth\-Cached$<$ EOT, double $>$}.
|
||||
|
||||
Definition at line 56 of file eo\-IBEA.h.
|
||||
|
||||
The documentation for this class was generated from the following file:\begin{CompactItemize}
|
||||
\item
|
||||
eo\-IBEA.h\end{CompactItemize}
|
||||
233
trunk/paradiseo-moeo/docs/latex/classeoIBEAAvgSorting.eps
Normal file
233
trunk/paradiseo-moeo/docs/latex/classeoIBEAAvgSorting.eps
Normal file
|
|
@ -0,0 +1,233 @@
|
|||
%!PS-Adobe-2.0 EPSF-2.0
|
||||
%%Title: ClassName
|
||||
%%Creator: Doxygen
|
||||
%%CreationDate: Time
|
||||
%%For:
|
||||
%Magnification: 1.00
|
||||
%%Orientation: Portrait
|
||||
%%BoundingBox: 0 0 500 240.964
|
||||
%%Pages: 0
|
||||
%%BeginSetup
|
||||
%%EndSetup
|
||||
%%EndComments
|
||||
|
||||
% ----- variables -----
|
||||
|
||||
/boxwidth 0 def
|
||||
/boxheight 40 def
|
||||
/fontheight 24 def
|
||||
/marginwidth 10 def
|
||||
/distx 20 def
|
||||
/disty 40 def
|
||||
/boundaspect 2.075 def % aspect ratio of the BoundingBox (width/height)
|
||||
/boundx 500 def
|
||||
/boundy boundx boundaspect div def
|
||||
/xspacing 0 def
|
||||
/yspacing 0 def
|
||||
/rows 6 def
|
||||
/cols 2 def
|
||||
/scalefactor 0 def
|
||||
/boxfont /Times-Roman findfont fontheight scalefont def
|
||||
|
||||
% ----- procedures -----
|
||||
|
||||
/dotted { [1 4] 0 setdash } def
|
||||
/dashed { [5] 0 setdash } def
|
||||
/solid { [] 0 setdash } def
|
||||
|
||||
/max % result = MAX(arg1,arg2)
|
||||
{
|
||||
/a exch def
|
||||
/b exch def
|
||||
a b gt {a} {b} ifelse
|
||||
} def
|
||||
|
||||
/xoffset % result = MAX(0,(scalefactor-(boxwidth*cols+distx*(cols-1)))/2)
|
||||
{
|
||||
0 scalefactor boxwidth cols mul distx cols 1 sub mul add sub 2 div max
|
||||
} def
|
||||
|
||||
/cw % boxwidth = MAX(boxwidth, stringwidth(arg1))
|
||||
{
|
||||
/str exch def
|
||||
/boxwidth boxwidth str stringwidth pop max def
|
||||
} def
|
||||
|
||||
/box % draws a box with text `arg1' at grid pos (arg2,arg3)
|
||||
{ gsave
|
||||
2 setlinewidth
|
||||
newpath
|
||||
exch xspacing mul xoffset add
|
||||
exch yspacing mul
|
||||
moveto
|
||||
boxwidth 0 rlineto
|
||||
0 boxheight rlineto
|
||||
boxwidth neg 0 rlineto
|
||||
0 boxheight neg rlineto
|
||||
closepath
|
||||
dup stringwidth pop neg boxwidth add 2 div
|
||||
boxheight fontheight 2 div sub 2 div
|
||||
rmoveto show stroke
|
||||
grestore
|
||||
} def
|
||||
|
||||
/mark
|
||||
{ newpath
|
||||
exch xspacing mul xoffset add boxwidth add
|
||||
exch yspacing mul
|
||||
moveto
|
||||
0 boxheight 4 div rlineto
|
||||
boxheight neg 4 div boxheight neg 4 div rlineto
|
||||
closepath
|
||||
eofill
|
||||
stroke
|
||||
} def
|
||||
|
||||
/arrow
|
||||
{ newpath
|
||||
moveto
|
||||
3 -8 rlineto
|
||||
-6 0 rlineto
|
||||
3 8 rlineto
|
||||
closepath
|
||||
eofill
|
||||
stroke
|
||||
} def
|
||||
|
||||
/out % draws an output connector for the block at (arg1,arg2)
|
||||
{
|
||||
newpath
|
||||
exch xspacing mul xoffset add boxwidth 2 div add
|
||||
exch yspacing mul boxheight add
|
||||
/y exch def
|
||||
/x exch def
|
||||
x y moveto
|
||||
0 disty 2 div rlineto
|
||||
stroke
|
||||
1 eq { x y disty 2 div add arrow } if
|
||||
} def
|
||||
|
||||
/in % draws an input connector for the block at (arg1,arg2)
|
||||
{
|
||||
newpath
|
||||
exch xspacing mul xoffset add boxwidth 2 div add
|
||||
exch yspacing mul disty 2 div sub
|
||||
/y exch def
|
||||
/x exch def
|
||||
x y moveto
|
||||
0 disty 2 div rlineto
|
||||
stroke
|
||||
1 eq { x y disty 2 div add arrow } if
|
||||
} def
|
||||
|
||||
/hedge
|
||||
{
|
||||
exch xspacing mul xoffset add boxwidth 2 div add
|
||||
exch yspacing mul boxheight 2 div sub
|
||||
/y exch def
|
||||
/x exch def
|
||||
newpath
|
||||
x y moveto
|
||||
boxwidth 2 div distx add 0 rlineto
|
||||
stroke
|
||||
1 eq
|
||||
{ newpath x boxwidth 2 div distx add add y moveto
|
||||
-8 3 rlineto
|
||||
0 -6 rlineto
|
||||
8 3 rlineto
|
||||
closepath
|
||||
eofill
|
||||
stroke
|
||||
} if
|
||||
} def
|
||||
|
||||
/vedge
|
||||
{
|
||||
/ye exch def
|
||||
/ys exch def
|
||||
/xs exch def
|
||||
newpath
|
||||
xs xspacing mul xoffset add boxwidth 2 div add dup
|
||||
ys yspacing mul boxheight 2 div sub
|
||||
moveto
|
||||
ye yspacing mul boxheight 2 div sub
|
||||
lineto
|
||||
stroke
|
||||
} def
|
||||
|
||||
/conn % connections the blocks from col `arg1' to `arg2' of row `arg3'
|
||||
{
|
||||
/ys exch def
|
||||
/xe exch def
|
||||
/xs exch def
|
||||
newpath
|
||||
xs xspacing mul xoffset add boxwidth 2 div add
|
||||
ys yspacing mul disty 2 div sub
|
||||
moveto
|
||||
xspacing xe xs sub mul 0
|
||||
rlineto
|
||||
stroke
|
||||
} def
|
||||
|
||||
% ----- main ------
|
||||
|
||||
boxfont setfont
|
||||
1 boundaspect scale
|
||||
(eoIBEAAvgSorting< EOT, FitnessEval >) cw
|
||||
(eoIBEA< EOT, FitnessEval >) cw
|
||||
(eoPerf2WorthCached< EOT, double >) cw
|
||||
(eoPerf2Worth< EOT, WorthT >) cw
|
||||
(eoUF< const eoPop< EOT > &, void >) cw
|
||||
(eoValueParam< std::vector< WorthT > >) cw
|
||||
(eoFunctorBase) cw
|
||||
(eoParam) cw
|
||||
/boxwidth boxwidth marginwidth 2 mul add def
|
||||
/xspacing boxwidth distx add def
|
||||
/yspacing boxheight disty add def
|
||||
/scalefactor
|
||||
boxwidth cols mul distx cols 1 sub mul add
|
||||
boxheight rows mul disty rows 1 sub mul add boundaspect mul
|
||||
max def
|
||||
boundx scalefactor div boundy scalefactor div scale
|
||||
|
||||
% ----- classes -----
|
||||
|
||||
(eoIBEAAvgSorting< EOT, FitnessEval >) 0.5 0 box
|
||||
(eoIBEA< EOT, FitnessEval >) 0.5 1 box
|
||||
(eoPerf2WorthCached< EOT, double >) 0.5 2 box
|
||||
(eoPerf2Worth< EOT, WorthT >) 0.5 3 box
|
||||
(eoUF< const eoPop< EOT > &, void >) 0 4 box
|
||||
(eoValueParam< std::vector< WorthT > >) 1 4 box
|
||||
(eoFunctorBase) 0 5 box
|
||||
(eoParam) 1 5 box
|
||||
|
||||
% ----- relations -----
|
||||
|
||||
solid
|
||||
0 0.5 0 out
|
||||
solid
|
||||
1 0.5 1 in
|
||||
solid
|
||||
0 0.5 1 out
|
||||
solid
|
||||
1 0.5 2 in
|
||||
solid
|
||||
0 0.5 2 out
|
||||
solid
|
||||
1 0.5 3 in
|
||||
solid
|
||||
0 0.5 3 out
|
||||
solid
|
||||
0 1 4 conn
|
||||
solid
|
||||
1 0 4 in
|
||||
solid
|
||||
0 0 4 out
|
||||
solid
|
||||
1 1 4 in
|
||||
solid
|
||||
0 1 4 out
|
||||
solid
|
||||
1 0 5 in
|
||||
solid
|
||||
1 1 5 in
|
||||
99
trunk/paradiseo-moeo/docs/latex/classeoIBEAAvgSorting.tex
Normal file
99
trunk/paradiseo-moeo/docs/latex/classeoIBEAAvgSorting.tex
Normal file
|
|
@ -0,0 +1,99 @@
|
|||
\section{eo\-IBEAAvg\-Sorting$<$ EOT, Fitness\-Eval $>$ Class Template Reference}
|
||||
\label{classeoIBEAAvgSorting}\index{eoIBEAAvgSorting@{eoIBEAAvgSorting}}
|
||||
Functor The sorting phase of IBEA (Indicator-Based Evolutionary Algorithm) under uncertainty using averaged values for each objective Follow the idea presented in the Deb \& Gupta paper \char`\"{}Searching for Robust Pareto-Optimal Solutions in Multi-Objective Optimization\char`\"{}, 2005 Of course, the fitness of an individual needs to be an eo\-Stochastic\-Pareto\-Fitness object.
|
||||
|
||||
|
||||
{\tt \#include $<$eo\-IBEA.h$>$}
|
||||
|
||||
Inheritance diagram for eo\-IBEAAvg\-Sorting$<$ EOT, Fitness\-Eval $>$::\begin{figure}[H]
|
||||
\begin{center}
|
||||
\leavevmode
|
||||
\includegraphics[height=6cm]{classeoIBEAAvgSorting}
|
||||
\end{center}
|
||||
\end{figure}
|
||||
\subsection*{Public Member Functions}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
{\bf eo\-IBEAAvg\-Sorting} ({\bf eo\-Binary\-Quality\-Indicator}$<$ Fitness\-Eval $>$ $\ast$\_\-I, const double \_\-kappa)
|
||||
\begin{CompactList}\small\item\em constructor \item\end{CompactList}\end{CompactItemize}
|
||||
\subsection*{Private Member Functions}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
void {\bf set\-Bounds} (const {\bf eo\-Pop}$<$ EOT $>$ \&\_\-pop)
|
||||
\begin{CompactList}\small\item\em computation and setting of the bounds for each objective \item\end{CompactList}\item
|
||||
void {\bf fitnesses} (const {\bf eo\-Pop}$<$ EOT $>$ \&\_\-pop)
|
||||
\begin{CompactList}\small\item\em computation and setting of the fitness for each individual of the population \item\end{CompactList}\end{CompactItemize}
|
||||
\subsection*{Private Attributes}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
double {\bf kappa}\label{classeoIBEAAvgSorting_6f467d673861830d6a0708f61cecc3f7}
|
||||
|
||||
\begin{CompactList}\small\item\em scaling factor kappa \item\end{CompactList}\end{CompactItemize}
|
||||
|
||||
|
||||
\subsection{Detailed Description}
|
||||
\subsubsection*{template$<$class EOT, class Fitness\-Eval = typename EOT::Fitness::Fitness\-Eval$>$ class eo\-IBEAAvg\-Sorting$<$ EOT, Fitness\-Eval $>$}
|
||||
|
||||
Functor The sorting phase of IBEA (Indicator-Based Evolutionary Algorithm) under uncertainty using averaged values for each objective Follow the idea presented in the Deb \& Gupta paper \char`\"{}Searching for Robust Pareto-Optimal Solutions in Multi-Objective Optimization\char`\"{}, 2005 Of course, the fitness of an individual needs to be an eo\-Stochastic\-Pareto\-Fitness object.
|
||||
|
||||
|
||||
|
||||
Definition at line 373 of file eo\-IBEA.h.
|
||||
|
||||
\subsection{Constructor \& Destructor Documentation}
|
||||
\index{eoIBEAAvgSorting@{eo\-IBEAAvg\-Sorting}!eoIBEAAvgSorting@{eoIBEAAvgSorting}}
|
||||
\index{eoIBEAAvgSorting@{eoIBEAAvgSorting}!eoIBEAAvgSorting@{eo\-IBEAAvg\-Sorting}}
|
||||
\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOT, class Fitness\-Eval = typename EOT::Fitness::Fitness\-Eval$>$ {\bf eo\-IBEAAvg\-Sorting}$<$ EOT, Fitness\-Eval $>$::{\bf eo\-IBEAAvg\-Sorting} ({\bf eo\-Binary\-Quality\-Indicator}$<$ Fitness\-Eval $>$ $\ast$ {\em \_\-I}, const double {\em \_\-kappa})\hspace{0.3cm}{\tt [inline]}}\label{classeoIBEAAvgSorting_eb0cfda626e1e5cac6750f0598610f82}
|
||||
|
||||
|
||||
constructor
|
||||
|
||||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em eo\-Binary\-Quality\-Indicator$<$EOT$>$$\ast$}]\_\-I the binary quality indicator to use in the selection process \item[{\em double}]\_\-kappa scaling factor kappa \end{description}
|
||||
\end{Desc}
|
||||
|
||||
|
||||
Definition at line 385 of file eo\-IBEA.h.
|
||||
|
||||
References eo\-IBEAAvg\-Sorting$<$ EOT, Fitness\-Eval $>$::kappa.
|
||||
|
||||
\subsection{Member Function Documentation}
|
||||
\index{eoIBEAAvgSorting@{eo\-IBEAAvg\-Sorting}!setBounds@{setBounds}}
|
||||
\index{setBounds@{setBounds}!eoIBEAAvgSorting@{eo\-IBEAAvg\-Sorting}}
|
||||
\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOT, class Fitness\-Eval = typename EOT::Fitness::Fitness\-Eval$>$ void {\bf eo\-IBEAAvg\-Sorting}$<$ EOT, Fitness\-Eval $>$::set\-Bounds (const {\bf eo\-Pop}$<$ EOT $>$ \& {\em \_\-pop})\hspace{0.3cm}{\tt [inline, private, virtual]}}\label{classeoIBEAAvgSorting_b365a1eab0da5211c59369416642780d}
|
||||
|
||||
|
||||
computation and setting of the bounds for each objective
|
||||
|
||||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em const}]eo\-Pop$<$EOT$>$\& \_\-pop the population \end{description}
|
||||
\end{Desc}
|
||||
|
||||
|
||||
Implements {\bf eo\-IBEA$<$ EOT, Fitness\-Eval $>$} {\rm (p.\,\pageref{classeoIBEA})}.
|
||||
|
||||
Definition at line 413 of file eo\-IBEA.h.\index{eoIBEAAvgSorting@{eo\-IBEAAvg\-Sorting}!fitnesses@{fitnesses}}
|
||||
\index{fitnesses@{fitnesses}!eoIBEAAvgSorting@{eo\-IBEAAvg\-Sorting}}
|
||||
\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOT, class Fitness\-Eval = typename EOT::Fitness::Fitness\-Eval$>$ void {\bf eo\-IBEAAvg\-Sorting}$<$ EOT, Fitness\-Eval $>$::fitnesses (const {\bf eo\-Pop}$<$ EOT $>$ \& {\em \_\-pop})\hspace{0.3cm}{\tt [inline, private, virtual]}}\label{classeoIBEAAvgSorting_4bc8c46d151d7935d7b2ac8bfbdd7ee6}
|
||||
|
||||
|
||||
computation and setting of the fitness for each individual of the population
|
||||
|
||||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em const}]eo\-Pop$<$EOT$>$\& \_\-pop the population \end{description}
|
||||
\end{Desc}
|
||||
|
||||
|
||||
Implements {\bf eo\-IBEA$<$ EOT, Fitness\-Eval $>$} {\rm (p.\,\pageref{classeoIBEA})}.
|
||||
|
||||
Definition at line 445 of file eo\-IBEA.h.
|
||||
|
||||
The documentation for this class was generated from the following file:\begin{CompactItemize}
|
||||
\item
|
||||
eo\-IBEA.h\end{CompactItemize}
|
||||
233
trunk/paradiseo-moeo/docs/latex/classeoIBEASorting.eps
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% ----- main ------
|
||||
|
||||
boxfont setfont
|
||||
1 boundaspect scale
|
||||
(eoIBEASorting< EOT, Fitness >) cw
|
||||
(eoIBEA< EOT, Fitness >) cw
|
||||
(eoPerf2WorthCached< EOT, double >) cw
|
||||
(eoPerf2Worth< EOT, WorthT >) cw
|
||||
(eoUF< const eoPop< EOT > &, void >) cw
|
||||
(eoValueParam< std::vector< WorthT > >) cw
|
||||
(eoFunctorBase) cw
|
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|
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|
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|
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% ----- classes -----
|
||||
|
||||
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|
||||
(eoIBEA< EOT, Fitness >) 0.5 1 box
|
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|
||||
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|
||||
(eoValueParam< std::vector< WorthT > >) 1 4 box
|
||||
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|
||||
(eoParam) 1 5 box
|
||||
|
||||
% ----- relations -----
|
||||
|
||||
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|
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|
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|
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|
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|
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|
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|
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99
trunk/paradiseo-moeo/docs/latex/classeoIBEASorting.tex
Normal file
99
trunk/paradiseo-moeo/docs/latex/classeoIBEASorting.tex
Normal file
|
|
@ -0,0 +1,99 @@
|
|||
\section{eo\-IBEASorting$<$ EOT, Fitness $>$ Class Template Reference}
|
||||
\label{classeoIBEASorting}\index{eoIBEASorting@{eoIBEASorting}}
|
||||
Functor The sorting phase of IBEA (Indicator-Based Evolutionary Algorithm) without uncertainty Adapted from the Zitzler and K\~{A}¼nzli paper \char`\"{}Indicator-Based Selection in Multiobjective Search\char`\"{} (2004) Of course, Fitness needs to be an {\bf eo\-Pareto\-Fitness} object.
|
||||
|
||||
|
||||
{\tt \#include $<$eo\-IBEA.h$>$}
|
||||
|
||||
Inheritance diagram for eo\-IBEASorting$<$ EOT, Fitness $>$::\begin{figure}[H]
|
||||
\begin{center}
|
||||
\leavevmode
|
||||
\includegraphics[height=6cm]{classeoIBEASorting}
|
||||
\end{center}
|
||||
\end{figure}
|
||||
\subsection*{Public Member Functions}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
{\bf eo\-IBEASorting} ({\bf eo\-Binary\-Quality\-Indicator}$<$ Fitness $>$ $\ast$\_\-I, const double \_\-kappa)
|
||||
\begin{CompactList}\small\item\em constructor \item\end{CompactList}\end{CompactItemize}
|
||||
\subsection*{Private Member Functions}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
void {\bf set\-Bounds} (const {\bf eo\-Pop}$<$ EOT $>$ \&\_\-pop)
|
||||
\begin{CompactList}\small\item\em computation and setting of the bounds for each objective \item\end{CompactList}\item
|
||||
void {\bf fitnesses} (const {\bf eo\-Pop}$<$ EOT $>$ \&\_\-pop)
|
||||
\begin{CompactList}\small\item\em computation and setting of the fitness for each individual of the population \item\end{CompactList}\end{CompactItemize}
|
||||
\subsection*{Private Attributes}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
double {\bf kappa}\label{classeoIBEASorting_de45fa88a6b6fc70896a0dbfffdb3dc7}
|
||||
|
||||
\begin{CompactList}\small\item\em scaling factor kappa \item\end{CompactList}\end{CompactItemize}
|
||||
|
||||
|
||||
\subsection{Detailed Description}
|
||||
\subsubsection*{template$<$class EOT, class Fitness = typename EOT::Fitness$>$ class eo\-IBEASorting$<$ EOT, Fitness $>$}
|
||||
|
||||
Functor The sorting phase of IBEA (Indicator-Based Evolutionary Algorithm) without uncertainty Adapted from the Zitzler and K\~{A}¼nzli paper \char`\"{}Indicator-Based Selection in Multiobjective Search\char`\"{} (2004) Of course, Fitness needs to be an {\bf eo\-Pareto\-Fitness} object.
|
||||
|
||||
|
||||
|
||||
Definition at line 94 of file eo\-IBEA.h.
|
||||
|
||||
\subsection{Constructor \& Destructor Documentation}
|
||||
\index{eoIBEASorting@{eo\-IBEASorting}!eoIBEASorting@{eoIBEASorting}}
|
||||
\index{eoIBEASorting@{eoIBEASorting}!eoIBEASorting@{eo\-IBEASorting}}
|
||||
\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOT, class Fitness = typename EOT::Fitness$>$ {\bf eo\-IBEASorting}$<$ EOT, Fitness $>$::{\bf eo\-IBEASorting} ({\bf eo\-Binary\-Quality\-Indicator}$<$ Fitness $>$ $\ast$ {\em \_\-I}, const double {\em \_\-kappa})\hspace{0.3cm}{\tt [inline]}}\label{classeoIBEASorting_7a35d760e84a98fd7a47966c50e3af66}
|
||||
|
||||
|
||||
constructor
|
||||
|
||||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em eo\-Binary\-Quality\-Indicator$<$EOT$>$$\ast$}]\_\-I the binary quality indicator to use in the selection process \item[{\em double}]\_\-kappa scaling factor kappa \end{description}
|
||||
\end{Desc}
|
||||
|
||||
|
||||
Definition at line 106 of file eo\-IBEA.h.
|
||||
|
||||
References eo\-IBEASorting$<$ EOT, Fitness $>$::kappa.
|
||||
|
||||
\subsection{Member Function Documentation}
|
||||
\index{eoIBEASorting@{eo\-IBEASorting}!setBounds@{setBounds}}
|
||||
\index{setBounds@{setBounds}!eoIBEASorting@{eo\-IBEASorting}}
|
||||
\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOT, class Fitness = typename EOT::Fitness$>$ void {\bf eo\-IBEASorting}$<$ EOT, Fitness $>$::set\-Bounds (const {\bf eo\-Pop}$<$ EOT $>$ \& {\em \_\-pop})\hspace{0.3cm}{\tt [inline, private, virtual]}}\label{classeoIBEASorting_02c7346d6aa62f3e3af20cc6ac3ee1d9}
|
||||
|
||||
|
||||
computation and setting of the bounds for each objective
|
||||
|
||||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em const}]eo\-Pop$<$EOT$>$\& \_\-pop the population \end{description}
|
||||
\end{Desc}
|
||||
|
||||
|
||||
Implements {\bf eo\-IBEA$<$ EOT, Fitness $>$} {\rm (p.\,\pageref{classeoIBEA})}.
|
||||
|
||||
Definition at line 134 of file eo\-IBEA.h.\index{eoIBEASorting@{eo\-IBEASorting}!fitnesses@{fitnesses}}
|
||||
\index{fitnesses@{fitnesses}!eoIBEASorting@{eo\-IBEASorting}}
|
||||
\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOT, class Fitness = typename EOT::Fitness$>$ void {\bf eo\-IBEASorting}$<$ EOT, Fitness $>$::fitnesses (const {\bf eo\-Pop}$<$ EOT $>$ \& {\em \_\-pop})\hspace{0.3cm}{\tt [inline, private, virtual]}}\label{classeoIBEASorting_af613f862a58b402d88958b0e290e810}
|
||||
|
||||
|
||||
computation and setting of the fitness for each individual of the population
|
||||
|
||||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em const}]eo\-Pop$<$EOT$>$\& \_\-pop the population \end{description}
|
||||
\end{Desc}
|
||||
|
||||
|
||||
Implements {\bf eo\-IBEA$<$ EOT, Fitness $>$} {\rm (p.\,\pageref{classeoIBEA})}.
|
||||
|
||||
Definition at line 162 of file eo\-IBEA.h.
|
||||
|
||||
The documentation for this class was generated from the following file:\begin{CompactItemize}
|
||||
\item
|
||||
eo\-IBEA.h\end{CompactItemize}
|
||||
233
trunk/paradiseo-moeo/docs/latex/classeoIBEAStochSorting.eps
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233
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|
|
@ -0,0 +1,233 @@
|
|||
%!PS-Adobe-2.0 EPSF-2.0
|
||||
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|
||||
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|
||||
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|
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|
||||
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|
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|
||||
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|
||||
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|
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|
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|
||||
|
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% ----- variables -----
|
||||
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
|
||||
% ----- procedures -----
|
||||
|
||||
/dotted { [1 4] 0 setdash } def
|
||||
/dashed { [5] 0 setdash } def
|
||||
/solid { [] 0 setdash } def
|
||||
|
||||
/max % result = MAX(arg1,arg2)
|
||||
{
|
||||
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|
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|
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0 scalefactor boxwidth cols mul distx cols 1 sub mul add sub 2 div max
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{
|
||||
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|
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|
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||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
|
||||
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|
||||
{
|
||||
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|
||||
exch xspacing mul xoffset add boxwidth 2 div add
|
||||
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|
||||
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|
||||
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|
||||
0 disty 2 div rlineto
|
||||
stroke
|
||||
1 eq { x y disty 2 div add arrow } if
|
||||
} def
|
||||
|
||||
/hedge
|
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{
|
||||
exch xspacing mul xoffset add boxwidth 2 div add
|
||||
exch yspacing mul boxheight 2 div sub
|
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|
||||
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|
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|
||||
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{ newpath x boxwidth 2 div distx add add y moveto
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|
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{
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/ys exch def
|
||||
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|
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xs xspacing mul xoffset add boxwidth 2 div add dup
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|
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|
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|
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{
|
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|
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/xe exch def
|
||||
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|
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|
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ys yspacing mul disty 2 div sub
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|
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xspacing xe xs sub mul 0
|
||||
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|
||||
stroke
|
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} def
|
||||
|
||||
% ----- main ------
|
||||
|
||||
boxfont setfont
|
||||
1 boundaspect scale
|
||||
(eoIBEAStochSorting< EOT, FitnessEval >) cw
|
||||
(eoIBEA< EOT, FitnessEval >) cw
|
||||
(eoPerf2WorthCached< EOT, double >) cw
|
||||
(eoPerf2Worth< EOT, WorthT >) cw
|
||||
(eoUF< const eoPop< EOT > &, void >) cw
|
||||
(eoValueParam< std::vector< WorthT > >) cw
|
||||
(eoFunctorBase) cw
|
||||
(eoParam) cw
|
||||
/boxwidth boxwidth marginwidth 2 mul add def
|
||||
/xspacing boxwidth distx add def
|
||||
/yspacing boxheight disty add def
|
||||
/scalefactor
|
||||
boxwidth cols mul distx cols 1 sub mul add
|
||||
boxheight rows mul disty rows 1 sub mul add boundaspect mul
|
||||
max def
|
||||
boundx scalefactor div boundy scalefactor div scale
|
||||
|
||||
% ----- classes -----
|
||||
|
||||
(eoIBEAStochSorting< EOT, FitnessEval >) 0.5 0 box
|
||||
(eoIBEA< EOT, FitnessEval >) 0.5 1 box
|
||||
(eoPerf2WorthCached< EOT, double >) 0.5 2 box
|
||||
(eoPerf2Worth< EOT, WorthT >) 0.5 3 box
|
||||
(eoUF< const eoPop< EOT > &, void >) 0 4 box
|
||||
(eoValueParam< std::vector< WorthT > >) 1 4 box
|
||||
(eoFunctorBase) 0 5 box
|
||||
(eoParam) 1 5 box
|
||||
|
||||
% ----- relations -----
|
||||
|
||||
solid
|
||||
0 0.5 0 out
|
||||
solid
|
||||
1 0.5 1 in
|
||||
solid
|
||||
0 0.5 1 out
|
||||
solid
|
||||
1 0.5 2 in
|
||||
solid
|
||||
0 0.5 2 out
|
||||
solid
|
||||
1 0.5 3 in
|
||||
solid
|
||||
0 0.5 3 out
|
||||
solid
|
||||
0 1 4 conn
|
||||
solid
|
||||
1 0 4 in
|
||||
solid
|
||||
0 0 4 out
|
||||
solid
|
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1 1 4 in
|
||||
solid
|
||||
0 1 4 out
|
||||
solid
|
||||
1 0 5 in
|
||||
solid
|
||||
1 1 5 in
|
||||
97
trunk/paradiseo-moeo/docs/latex/classeoIBEAStochSorting.tex
Normal file
97
trunk/paradiseo-moeo/docs/latex/classeoIBEAStochSorting.tex
Normal file
|
|
@ -0,0 +1,97 @@
|
|||
\section{eo\-IBEAStoch\-Sorting$<$ EOT, Fitness\-Eval $>$ Class Template Reference}
|
||||
\label{classeoIBEAStochSorting}\index{eoIBEAStochSorting@{eoIBEAStochSorting}}
|
||||
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.
|
||||
|
||||
|
||||
{\tt \#include $<$eo\-IBEA.h$>$}
|
||||
|
||||
Inheritance diagram for eo\-IBEAStoch\-Sorting$<$ EOT, Fitness\-Eval $>$::\begin{figure}[H]
|
||||
\begin{center}
|
||||
\leavevmode
|
||||
\includegraphics[height=6cm]{classeoIBEAStochSorting}
|
||||
\end{center}
|
||||
\end{figure}
|
||||
\subsection*{Public Member Functions}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
{\bf eo\-IBEAStoch\-Sorting} ({\bf eo\-Binary\-Quality\-Indicator}$<$ Fitness\-Eval $>$ $\ast$\_\-I)
|
||||
\begin{CompactList}\small\item\em constructor \item\end{CompactList}\end{CompactItemize}
|
||||
\subsection*{Private Member Functions}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
void {\bf set\-Bounds} (const {\bf eo\-Pop}$<$ EOT $>$ \&\_\-pop)
|
||||
\begin{CompactList}\small\item\em computation and setting of the bounds for each objective \item\end{CompactList}\item
|
||||
void {\bf fitnesses} (const {\bf eo\-Pop}$<$ EOT $>$ \&\_\-pop)
|
||||
\begin{CompactList}\small\item\em computation and setting of the fitness for each individual of the population \item\end{CompactList}\end{CompactItemize}
|
||||
\subsection*{Static Private Member Functions}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
static double {\bf zero} ()\label{classeoIBEAStochSorting_0cd3d638866730b7a8fdbd5a1c08c810}
|
||||
|
||||
\begin{CompactList}\small\item\em approximated zero value \item\end{CompactList}\end{CompactItemize}
|
||||
|
||||
|
||||
\subsection{Detailed Description}
|
||||
\subsubsection*{template$<$class EOT, class Fitness\-Eval = typename EOT::Fitness::Fitness\-Eval$>$ class eo\-IBEAStoch\-Sorting$<$ EOT, Fitness\-Eval $>$}
|
||||
|
||||
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.
|
||||
|
||||
|
||||
|
||||
Definition at line 215 of file eo\-IBEA.h.
|
||||
|
||||
\subsection{Constructor \& Destructor Documentation}
|
||||
\index{eoIBEAStochSorting@{eo\-IBEAStoch\-Sorting}!eoIBEAStochSorting@{eoIBEAStochSorting}}
|
||||
\index{eoIBEAStochSorting@{eoIBEAStochSorting}!eoIBEAStochSorting@{eo\-IBEAStoch\-Sorting}}
|
||||
\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOT, class Fitness\-Eval = typename EOT::Fitness::Fitness\-Eval$>$ {\bf eo\-IBEAStoch\-Sorting}$<$ EOT, Fitness\-Eval $>$::{\bf eo\-IBEAStoch\-Sorting} ({\bf eo\-Binary\-Quality\-Indicator}$<$ Fitness\-Eval $>$ $\ast$ {\em \_\-I})\hspace{0.3cm}{\tt [inline]}}\label{classeoIBEAStochSorting_9d9775846e174bdbc9491856b23eb27d}
|
||||
|
||||
|
||||
constructor
|
||||
|
||||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em eo\-Binary\-Quality\-Indicator$<$EOT$>$$\ast$}]\_\-I the binary quality indicator to use in the selection process \end{description}
|
||||
\end{Desc}
|
||||
|
||||
|
||||
Definition at line 226 of file eo\-IBEA.h.
|
||||
|
||||
\subsection{Member Function Documentation}
|
||||
\index{eoIBEAStochSorting@{eo\-IBEAStoch\-Sorting}!setBounds@{setBounds}}
|
||||
\index{setBounds@{setBounds}!eoIBEAStochSorting@{eo\-IBEAStoch\-Sorting}}
|
||||
\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOT, class Fitness\-Eval = typename EOT::Fitness::Fitness\-Eval$>$ void {\bf eo\-IBEAStoch\-Sorting}$<$ EOT, Fitness\-Eval $>$::set\-Bounds (const {\bf eo\-Pop}$<$ EOT $>$ \& {\em \_\-pop})\hspace{0.3cm}{\tt [inline, private, virtual]}}\label{classeoIBEAStochSorting_2a5ddad942fee331fe6912a6fecc9247}
|
||||
|
||||
|
||||
computation and setting of the bounds for each objective
|
||||
|
||||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em const}]eo\-Pop$<$EOT$>$\& \_\-pop the population \end{description}
|
||||
\end{Desc}
|
||||
|
||||
|
||||
Implements {\bf eo\-IBEA$<$ EOT, Fitness\-Eval $>$} {\rm (p.\,\pageref{classeoIBEA})}.
|
||||
|
||||
Definition at line 258 of file eo\-IBEA.h.\index{eoIBEAStochSorting@{eo\-IBEAStoch\-Sorting}!fitnesses@{fitnesses}}
|
||||
\index{fitnesses@{fitnesses}!eoIBEAStochSorting@{eo\-IBEAStoch\-Sorting}}
|
||||
\subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class EOT, class Fitness\-Eval = typename EOT::Fitness::Fitness\-Eval$>$ void {\bf eo\-IBEAStoch\-Sorting}$<$ EOT, Fitness\-Eval $>$::fitnesses (const {\bf eo\-Pop}$<$ EOT $>$ \& {\em \_\-pop})\hspace{0.3cm}{\tt [inline, private, virtual]}}\label{classeoIBEAStochSorting_0d099b5a341791b35db98b350cdbc83f}
|
||||
|
||||
|
||||
computation and setting of the fitness for each individual of the population
|
||||
|
||||
\begin{Desc}
|
||||
\item[Parameters:]
|
||||
\begin{description}
|
||||
\item[{\em const}]eo\-Pop$<$EOT$>$\& \_\-pop the population \end{description}
|
||||
\end{Desc}
|
||||
|
||||
|
||||
Implements {\bf eo\-IBEA$<$ EOT, Fitness\-Eval $>$} {\rm (p.\,\pageref{classeoIBEA})}.
|
||||
|
||||
Definition at line 286 of file eo\-IBEA.h.
|
||||
|
||||
The documentation for this class was generated from the following file:\begin{CompactItemize}
|
||||
\item
|
||||
eo\-IBEA.h\end{CompactItemize}
|
||||
197
trunk/paradiseo-moeo/docs/latex/classeoParetoEuclidDist.eps
Normal file
197
trunk/paradiseo-moeo/docs/latex/classeoParetoEuclidDist.eps
Normal file
|
|
@ -0,0 +1,197 @@
|
|||
%!PS-Adobe-2.0 EPSF-2.0
|
||||
%%Title: ClassName
|
||||
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|
||||
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|
||||
%%For:
|
||||
%Magnification: 1.00
|
||||
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|
||||
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%%Pages: 0
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%%BeginSetup
|
||||
%%EndSetup
|
||||
%%EndComments
|
||||
|
||||
% ----- variables -----
|
||||
|
||||
/boxwidth 0 def
|
||||
/boxheight 40 def
|
||||
/fontheight 24 def
|
||||
/marginwidth 10 def
|
||||
/distx 20 def
|
||||
/disty 40 def
|
||||
/boundaspect 2.925 def % aspect ratio of the BoundingBox (width/height)
|
||||
/boundx 500 def
|
||||
/boundy boundx boundaspect div def
|
||||
/xspacing 0 def
|
||||
/yspacing 0 def
|
||||
/rows 2 def
|
||||
/cols 1 def
|
||||
/scalefactor 0 def
|
||||
/boxfont /Times-Roman findfont fontheight scalefont def
|
||||
|
||||
% ----- procedures -----
|
||||
|
||||
/dotted { [1 4] 0 setdash } def
|
||||
/dashed { [5] 0 setdash } def
|
||||
/solid { [] 0 setdash } def
|
||||
|
||||
/max % result = MAX(arg1,arg2)
|
||||
{
|
||||
/a exch def
|
||||
/b exch def
|
||||
a b gt {a} {b} ifelse
|
||||
} def
|
||||
|
||||
/xoffset % result = MAX(0,(scalefactor-(boxwidth*cols+distx*(cols-1)))/2)
|
||||
{
|
||||
0 scalefactor boxwidth cols mul distx cols 1 sub mul add sub 2 div max
|
||||
} def
|
||||
|
||||
/cw % boxwidth = MAX(boxwidth, stringwidth(arg1))
|
||||
{
|
||||
/str exch def
|
||||
/boxwidth boxwidth str stringwidth pop max def
|
||||
} def
|
||||
|
||||
/box % draws a box with text `arg1' at grid pos (arg2,arg3)
|
||||
{ gsave
|
||||
2 setlinewidth
|
||||
newpath
|
||||
exch xspacing mul xoffset add
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||||
exch yspacing mul
|
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moveto
|
||||
boxwidth 0 rlineto
|
||||
0 boxheight rlineto
|
||||
boxwidth neg 0 rlineto
|
||||
0 boxheight neg rlineto
|
||||
closepath
|
||||
dup stringwidth pop neg boxwidth add 2 div
|
||||
boxheight fontheight 2 div sub 2 div
|
||||
rmoveto show stroke
|
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|
||||
} def
|
||||
|
||||
/mark
|
||||
{ newpath
|
||||
exch xspacing mul xoffset add boxwidth add
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||||
exch yspacing mul
|
||||
moveto
|
||||
0 boxheight 4 div rlineto
|
||||
boxheight neg 4 div boxheight neg 4 div rlineto
|
||||
closepath
|
||||
eofill
|
||||
stroke
|
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} def
|
||||
|
||||
/arrow
|
||||
{ newpath
|
||||
moveto
|
||||
3 -8 rlineto
|
||||
-6 0 rlineto
|
||||
3 8 rlineto
|
||||
closepath
|
||||
eofill
|
||||
stroke
|
||||
} def
|
||||
|
||||
/out % draws an output connector for the block at (arg1,arg2)
|
||||
{
|
||||
newpath
|
||||
exch xspacing mul xoffset add boxwidth 2 div add
|
||||
exch yspacing mul boxheight add
|
||||
/y exch def
|
||||
/x exch def
|
||||
x y moveto
|
||||
0 disty 2 div rlineto
|
||||
stroke
|
||||
1 eq { x y disty 2 div add arrow } if
|
||||
} def
|
||||
|
||||
/in % draws an input connector for the block at (arg1,arg2)
|
||||
{
|
||||
newpath
|
||||
exch xspacing mul xoffset add boxwidth 2 div add
|
||||
exch yspacing mul disty 2 div sub
|
||||
/y exch def
|
||||
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|
||||
x y moveto
|
||||
0 disty 2 div rlineto
|
||||
stroke
|
||||
1 eq { x y disty 2 div add arrow } if
|
||||
} def
|
||||
|
||||
/hedge
|
||||
{
|
||||
exch xspacing mul xoffset add boxwidth 2 div add
|
||||
exch yspacing mul boxheight 2 div sub
|
||||
/y exch def
|
||||
/x exch def
|
||||
newpath
|
||||
x y moveto
|
||||
boxwidth 2 div distx add 0 rlineto
|
||||
stroke
|
||||
1 eq
|
||||
{ newpath x boxwidth 2 div distx add add y moveto
|
||||
-8 3 rlineto
|
||||
0 -6 rlineto
|
||||
8 3 rlineto
|
||||
closepath
|
||||
eofill
|
||||
stroke
|
||||
} if
|
||||
} def
|
||||
|
||||
/vedge
|
||||
{
|
||||
/ye exch def
|
||||
/ys exch def
|
||||
/xs exch def
|
||||
newpath
|
||||
xs xspacing mul xoffset add boxwidth 2 div add dup
|
||||
ys yspacing mul boxheight 2 div sub
|
||||
moveto
|
||||
ye yspacing mul boxheight 2 div sub
|
||||
lineto
|
||||
stroke
|
||||
} def
|
||||
|
||||
/conn % connections the blocks from col `arg1' to `arg2' of row `arg3'
|
||||
{
|
||||
/ys exch def
|
||||
/xe exch def
|
||||
/xs exch def
|
||||
newpath
|
||||
xs xspacing mul xoffset add boxwidth 2 div add
|
||||
ys yspacing mul disty 2 div sub
|
||||
moveto
|
||||
xspacing xe xs sub mul 0
|
||||
rlineto
|
||||
stroke
|
||||
} def
|
||||
|
||||
% ----- main ------
|
||||
|
||||
boxfont setfont
|
||||
1 boundaspect scale
|
||||
(eoParetoEuclidDist< EOT, DistType >) cw
|
||||
(eoParetoPhenDist< EOT, DistType >) cw
|
||||
/boxwidth boxwidth marginwidth 2 mul add def
|
||||
/xspacing boxwidth distx add def
|
||||
/yspacing boxheight disty add def
|
||||
/scalefactor
|
||||
boxwidth cols mul distx cols 1 sub mul add
|
||||
boxheight rows mul disty rows 1 sub mul add boundaspect mul
|
||||
max def
|
||||
boundx scalefactor div boundy scalefactor div scale
|
||||
|
||||
% ----- classes -----
|
||||
|
||||
(eoParetoEuclidDist< EOT, DistType >) 0 0 box
|
||||
(eoParetoPhenDist< EOT, DistType >) 0 1 box
|
||||
|
||||
% ----- relations -----
|
||||
|
||||
solid
|
||||
0 0 0 out
|
||||
solid
|
||||
1 0 1 in
|
||||
28
trunk/paradiseo-moeo/docs/latex/classeoParetoEuclidDist.tex
Normal file
28
trunk/paradiseo-moeo/docs/latex/classeoParetoEuclidDist.tex
Normal file
|
|
@ -0,0 +1,28 @@
|
|||
\section{eo\-Pareto\-Euclid\-Dist$<$ EOT, Dist\-Type $>$ Class Template Reference}
|
||||
\label{classeoParetoEuclidDist}\index{eoParetoEuclidDist@{eoParetoEuclidDist}}
|
||||
Inheritance diagram for eo\-Pareto\-Euclid\-Dist$<$ EOT, Dist\-Type $>$::\begin{figure}[H]
|
||||
\begin{center}
|
||||
\leavevmode
|
||||
\includegraphics[height=2cm]{classeoParetoEuclidDist}
|
||||
\end{center}
|
||||
\end{figure}
|
||||
\subsection*{Public Member Functions}
|
||||
\begin{CompactItemize}
|
||||
\item
|
||||
Dist\-Type {\bf operator()} (const EOT \&eopf1, const EOT \&eopf2)\label{classeoParetoEuclidDist_8693ded671292b210c3c455fa18c496e}
|
||||
|
||||
\end{CompactItemize}
|
||||
|
||||
|
||||
\subsection{Detailed Description}
|
||||
\subsubsection*{template$<$class EOT, class Dist\-Type = double$>$ class eo\-Pareto\-Euclid\-Dist$<$ EOT, Dist\-Type $>$}
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Definition at line 15 of file eo\-Pareto\-Phen\-Dist.h.
|
||||
|
||||
The documentation for this class was generated from the following file:\begin{CompactItemize}
|
||||
\item
|
||||
eo\-Pareto\-Phen\-Dist.h\end{CompactItemize}
|
||||
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