b08dfed4b1
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@23 331e1502-861f-0410-8da2-ba01fb791d7f
24 lines
4.8 KiB
TeX
24 lines
4.8 KiB
TeX
\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 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 \doxyref{moeo\-Elitist\-Replacement}{p.}{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 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\-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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