| moeoArchive< EOT > | An archive is a secondary population that stores non-dominated solutions |
| moeoArchiveFitnessSavingUpdater< EOT > | This class allows to save the fitnesses of solutions contained in an archive into a file at each generation |
| moeoArchiveUpdater< EOT > | This class allows to update the archive at each generation with newly found non-dominated solutions |
| moeoBinaryMetricSavingUpdater< 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 |
| moeoBM< A1, A2, R > | Base class for binary metrics |
| moeoCombinedMOLS< 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 |
| moeoContributionMetric< EOT > | The contribution metric evaluates the proportion of non-dominated solutions given by a Pareto set relatively to another Pareto set |
| moeoDisctinctElitistReplacement< EOT, WorthT > | Same than moeoElitistReplacement except that distinct individuals are privilegied |
| moeoElitistReplacement< EOT, WorthT > | Keep all the best individuals (almost cut-and-pasted from eoNDPlusReplacement, (c) Maarten Keijzer, Marc Schoenauer and GeNeura Team, 2002) |
| moeoEntropyMetric< EOT > | The entropy gives an idea of the diversity of a Pareto set relatively to another Pareto set |
| moeoHybridMOLS< 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 |
| moeoMetric | Base class for performance metrics (also called quality indicators) |
| moeoMOLS< EOT > | Abstract class for local searches applied to multi-objective optimization |
| moeoReplacement< EOT, WorthT > | Replacement strategy for multi-objective optimization |
| moeoSelectOneFromPopAndArch< EOT > | Elitist selection process that consists in choosing individuals in the archive as well as in the current population |
| moeoSolutionUM< EOT, R, EOFitness > | Base class for unary metrics dedicated to the performance evaluation of a single solution's Pareto fitness |
| moeoSolutionVsSolutionBM< EOT, R, EOFitness > | Base class for binary metrics dedicated to the performance comparison between two solutions's Pareto fitnesses |
| moeoUM< A, R > | Base class for unary metrics |
| moeoVectorUM< EOT, R, EOFitness > | Base class for unary metrics dedicated to the performance evaluation of a Pareto set (a vector of Pareto fitnesses) |
| moeoVectorVsSolutionBM< 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 |
| moeoVectorVsVectorBM< EOT, R, EOFitness > | Base class for binary metrics dedicated to the performance comparison between two Pareto sets (two vectors of Pareto fitnesses) |
