+ | eoAdditiveBinaryEpsilonIndicator< EOFitness > | Functor Additive binary epsilon indicator for eoParetoFitness |
+ | eoBinaryHypervolumeIndicator< EOFitness > | Functor Binary hypervolume indicator for eoParetoFitness |
+ | eoBinaryQualityIndicator< 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 eoParetoFitness object |
+ | eoBinaryQualityIndicator< EOFitness >::Range | Private class to represent the bounds |
+ | eoIBEA< EOT, Fitness > | Functor The sorting phase of IBEA (Indicator-Based Evolutionary Algorithm) |
+ | eoIBEAAvgSorting< EOT, FitnessEval > | 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 "Searching for Robust Pareto-Optimal Solutions in Multi-Objective Optimization", 2005 Of course, the fitness of an individual needs to be an eoStochasticParetoFitness object |
+ | eoIBEASorting< EOT, Fitness > | Functor The sorting phase of IBEA (Indicator-Based Evolutionary Algorithm) without uncertainty Adapted from the Zitzler and Künzli paper "Indicator-Based Selection in Multiobjective Search" (2004) Of course, Fitness needs to be an eoParetoFitness object |
+ | eoIBEAStochSorting< EOT, FitnessEval > | Functor The sorting phase of IBEA (Indicator-Based Evolutionary Algorithm) under uncertainty Adapted from the Basseur and Zitzler paper "Handling Uncertainty in Indicator-Based Multiobjective Optimization" (2006) Of course, the fitness of an individual needs to be an eoStochasticParetoFitness object |
+ | eoParetoEuclidDist< EOT, DistType > | |
+ | eoParetoPhenDist< EOT, DistType > | |
+ | eoParetoSharing< EOT, worthT > | |
+ | eoParetoSharing< EOT, worthT >::dMatrix | |
| 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 |
@@ -38,11 +49,14 @@
| 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) |
+ | 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 |
+ | moeoNDSorting_II< EOT > | Fast Elitist Non-Dominant Sorting Genetic Algorithm |
+ | moeoNDSorting_II< EOT >::compare_nodes | |
+ | moeoNSGA_II< EOT > | |
| 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 |
@@ -52,8 +66,8 @@
| 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) |
-