\section{moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment$<$ MOEOT $>$ Class Template Reference} \label{classmoeoFastNonDominatedSortingFitnessAssignment}\index{moeoFastNonDominatedSortingFitnessAssignment@{moeoFastNonDominatedSortingFitnessAssignment}} Fitness assignment sheme based on Pareto-dominance count proposed in: N. {\tt \#include $<$moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment.h$>$} Inheritance diagram for moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment$<$ MOEOT $>$::\begin{figure}[H] \begin{center} \leavevmode \includegraphics[height=5cm]{classmoeoFastNonDominatedSortingFitnessAssignment} \end{center} \end{figure} \subsection*{Public Types} \begin{CompactItemize} \item typedef MOEOT::Objective\-Vector \bf{Objective\-Vector}\label{classmoeoFastNonDominatedSortingFitnessAssignment_7bca09c8cf084700172a6e0dfcf6c381} \begin{CompactList}\small\item\em the objective vector type of the solutions \item\end{CompactList}\end{CompactItemize} \subsection*{Public Member Functions} \begin{CompactItemize} \item \bf{moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment} ()\label{classmoeoFastNonDominatedSortingFitnessAssignment_d02bd6ca60399f6171c08fa42f131644} \begin{CompactList}\small\item\em Default ctor. \item\end{CompactList}\item \bf{moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment} (\bf{moeo\-Objective\-Vector\-Comparator}$<$ \bf{Objective\-Vector} $>$ \&\_\-comparator) \begin{CompactList}\small\item\em Ctor where you can choose your own way to compare objective vectors. \item\end{CompactList}\item void \bf{operator()} (\bf{eo\-Pop}$<$ MOEOT $>$ \&\_\-pop) \begin{CompactList}\small\item\em Sets the fitness values for every solution contained in the population \_\-pop. \item\end{CompactList}\item void \bf{update\-By\-Deleting} (\bf{eo\-Pop}$<$ MOEOT $>$ \&\_\-pop, \bf{Objective\-Vector} \&\_\-obj\-Vec) \begin{CompactList}\small\item\em Updates the fitness values of the whole population \_\-pop by taking the deletion of the objective vector \_\-obj\-Vec into account. \item\end{CompactList}\end{CompactItemize} \subsection*{Private Member Functions} \begin{CompactItemize} \item void \bf{one\-Objective} (\bf{eo\-Pop}$<$ MOEOT $>$ \&\_\-pop) \begin{CompactList}\small\item\em Sets the fitness values for mono-objective problems. \item\end{CompactList}\item void \bf{two\-Objectives} (\bf{eo\-Pop}$<$ MOEOT $>$ \&\_\-pop) \begin{CompactList}\small\item\em Sets the fitness values for bi-objective problems with a complexity of O(n log n), where n stands for the population size. \item\end{CompactList}\item void \bf{m\-Objectives} (\bf{eo\-Pop}$<$ MOEOT $>$ \&\_\-pop) \begin{CompactList}\small\item\em Sets the fitness values for problems with more than two objectives with a complexity of O(n\^{A}² log n), where n stands for the population size. \item\end{CompactList}\end{CompactItemize} \subsection*{Private Attributes} \begin{CompactItemize} \item \bf{moeo\-Objective\-Vector\-Comparator}$<$ \bf{Objective\-Vector} $>$ \& \bf{comparator}\label{classmoeoFastNonDominatedSortingFitnessAssignment_cc2269f00944e308e53004cc3a68855b} \begin{CompactList}\small\item\em Functor to compare two objective vectors. \item\end{CompactList}\item \bf{moeo\-Pareto\-Objective\-Vector\-Comparator}$<$ \bf{Objective\-Vector} $>$ \bf{pareto\-Comparator}\label{classmoeoFastNonDominatedSortingFitnessAssignment_c91bade0a1aa1200d0245f7c13fb74fc} \begin{CompactList}\small\item\em Functor to compare two objective vectors according to Pareto dominance relation. \item\end{CompactList}\item \bf{moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment::Objective\-Comparator} \bf{obj\-Comparator}\label{classmoeoFastNonDominatedSortingFitnessAssignment_1ff82dbdcd601806382bb1af98c30572} \begin{CompactList}\small\item\em Functor allowing to compare two solutions according to their first objective value, then their second, and so on. \item\end{CompactList}\end{CompactItemize} \subsection*{Classes} \begin{CompactItemize} \item class \bf{Objective\-Comparator} \begin{CompactList}\small\item\em Functor allowing to compare two solutions according to their first objective value, then their second, and so on. \item\end{CompactList}\end{CompactItemize} \subsection{Detailed Description} \subsubsection*{template$<$class MOEOT$>$ class moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment$<$ MOEOT $>$} Fitness assignment sheme based on Pareto-dominance count proposed in: N. Srinivas, K. Deb, \char`\"{}Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms\char`\"{}, Evolutionary Computation vol. 2, no. 3, pp. 221-248 (1994) and in: K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, \char`\"{}A Fast and Elitist Multi-Objective Genetic Algorithm: NSGA-II\char`\"{}, IEEE Transactions on Evolutionary Computation, vol. 6, no. 2 (2002). This strategy is, for instance, used in NSGA and NSGA-II. Definition at line 32 of file moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment.h. \subsection{Constructor \& Destructor Documentation} \index{moeoFastNonDominatedSortingFitnessAssignment@{moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment}!moeoFastNonDominatedSortingFitnessAssignment@{moeoFastNonDominatedSortingFitnessAssignment}} \index{moeoFastNonDominatedSortingFitnessAssignment@{moeoFastNonDominatedSortingFitnessAssignment}!moeoFastNonDominatedSortingFitnessAssignment@{moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment}} \subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class MOEOT$>$ \bf{moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment}$<$ MOEOT $>$::\bf{moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment} (\bf{moeo\-Objective\-Vector\-Comparator}$<$ \bf{Objective\-Vector} $>$ \& {\em \_\-comparator})\hspace{0.3cm}{\tt [inline]}}\label{classmoeoFastNonDominatedSortingFitnessAssignment_6843abccb77386a06016063f42c63f75} Ctor where you can choose your own way to compare objective vectors. \begin{Desc} \item[Parameters:] \begin{description} \item[{\em \_\-comparator}]the functor used to compare objective vectors \end{description} \end{Desc} Definition at line 51 of file moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment.h. \subsection{Member Function Documentation} \index{moeoFastNonDominatedSortingFitnessAssignment@{moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment}!operator()@{operator()}} \index{operator()@{operator()}!moeoFastNonDominatedSortingFitnessAssignment@{moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment}} \subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class MOEOT$>$ void \bf{moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment}$<$ MOEOT $>$::operator() (\bf{eo\-Pop}$<$ MOEOT $>$ \& {\em \_\-pop})\hspace{0.3cm}{\tt [inline, virtual]}}\label{classmoeoFastNonDominatedSortingFitnessAssignment_4d75a10be83e50e4d3827c32b74f9d7d} Sets the fitness values for every solution contained in the population \_\-pop. \begin{Desc} \item[Parameters:] \begin{description} \item[{\em \_\-pop}]the population \end{description} \end{Desc} Implements \bf{eo\-UF$<$ eo\-Pop$<$ MOEOT $>$ \&, void $>$}. Definition at line 59 of file moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment.h. References moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment$<$ MOEOT $>$::m\-Objectives(), and moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment$<$ MOEOT $>$::one\-Objective().\index{moeoFastNonDominatedSortingFitnessAssignment@{moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment}!updateByDeleting@{updateByDeleting}} \index{updateByDeleting@{updateByDeleting}!moeoFastNonDominatedSortingFitnessAssignment@{moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment}} \subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class MOEOT$>$ void \bf{moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment}$<$ MOEOT $>$::update\-By\-Deleting (\bf{eo\-Pop}$<$ MOEOT $>$ \& {\em \_\-pop}, \bf{Objective\-Vector} \& {\em \_\-obj\-Vec})\hspace{0.3cm}{\tt [inline, virtual]}}\label{classmoeoFastNonDominatedSortingFitnessAssignment_8d16de444f6c7a73c28c9087b652656e} Updates the fitness values of the whole population \_\-pop by taking the deletion of the objective vector \_\-obj\-Vec into account. \begin{Desc} \item[Parameters:] \begin{description} \item[{\em \_\-pop}]the population \item[{\em \_\-obj\-Vec}]the objective vector \end{description} \end{Desc} Implements \bf{moeo\-Fitness\-Assignment$<$ MOEOT $>$} \doxyref{p.}{classmoeoFitnessAssignment_4922629569eddc9be049b3ead1ab0269}. Definition at line 101 of file moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment.h. References moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment$<$ MOEOT $>$::comparator.\index{moeoFastNonDominatedSortingFitnessAssignment@{moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment}!oneObjective@{oneObjective}} \index{oneObjective@{oneObjective}!moeoFastNonDominatedSortingFitnessAssignment@{moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment}} \subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class MOEOT$>$ void \bf{moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment}$<$ MOEOT $>$::one\-Objective (\bf{eo\-Pop}$<$ MOEOT $>$ \& {\em \_\-pop})\hspace{0.3cm}{\tt [inline, private]}}\label{classmoeoFastNonDominatedSortingFitnessAssignment_f69d3a918dbbe8d7e9ef5abc50fbf17b} Sets the fitness values for mono-objective problems. \begin{Desc} \item[Parameters:] \begin{description} \item[{\em \_\-pop}]the population \end{description} \end{Desc} Definition at line 143 of file moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment.h. References moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment$<$ MOEOT $>$::obj\-Comparator. Referenced by moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment$<$ MOEOT $>$::operator()().\index{moeoFastNonDominatedSortingFitnessAssignment@{moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment}!twoObjectives@{twoObjectives}} \index{twoObjectives@{twoObjectives}!moeoFastNonDominatedSortingFitnessAssignment@{moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment}} \subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class MOEOT$>$ void \bf{moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment}$<$ MOEOT $>$::two\-Objectives (\bf{eo\-Pop}$<$ MOEOT $>$ \& {\em \_\-pop})\hspace{0.3cm}{\tt [inline, private]}}\label{classmoeoFastNonDominatedSortingFitnessAssignment_ac0337fe41c4d565c5a81de38398a9e9} Sets the fitness values for bi-objective problems with a complexity of O(n log n), where n stands for the population size. \begin{Desc} \item[Parameters:] \begin{description} \item[{\em \_\-pop}]the population \end{description} \end{Desc} Definition at line 165 of file moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment.h.\index{moeoFastNonDominatedSortingFitnessAssignment@{moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment}!mObjectives@{mObjectives}} \index{mObjectives@{mObjectives}!moeoFastNonDominatedSortingFitnessAssignment@{moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment}} \subsubsection{\setlength{\rightskip}{0pt plus 5cm}template$<$class MOEOT$>$ void \bf{moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment}$<$ MOEOT $>$::m\-Objectives (\bf{eo\-Pop}$<$ MOEOT $>$ \& {\em \_\-pop})\hspace{0.3cm}{\tt [inline, private]}}\label{classmoeoFastNonDominatedSortingFitnessAssignment_f28ad92fe565e13b8d38a3beb30e1e29} Sets the fitness values for problems with more than two objectives with a complexity of O(n\^{A}² log n), where n stands for the population size. \begin{Desc} \item[Parameters:] \begin{description} \item[{\em \_\-pop}]the population \end{description} \end{Desc} Definition at line 175 of file moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment.h. References moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment$<$ MOEOT $>$::comparator. Referenced by moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment$<$ MOEOT $>$::operator()(). The documentation for this class was generated from the following file:\begin{CompactItemize} \item moeo\-Fast\-Non\-Dominated\-Sorting\-Fitness\-Assignment.h\end{CompactItemize}