Package edu.udo.cs.yale.operator.learner.meta.eaboost

Classes used for a multi-objective evolutionary boosting based on BayBoostModels.

See:
Description

Interface Summary

BoostingSelection

Should perform a selection on the given population list.

Class Summary

BayBoostBoostingIndividual	Individuals contain the model information and the fitness.
BoostingCrossover	Performs a GA crossover similar for individuals with variable lengths.
BoostingIndividual	Individuals contain the model information and the fitness.
BoostingMutation	Performs an aggregation mutation on the boosting individuals.
BoostingNonDominatedSortingSelection	Performs the non-dominated sorting selection from NSGA-II.
BoostingNonDominatedSortingSelection.CriteriaComparator	Compares the fitness of two Boosting inviduals according to the m-th criterion.
BoostingNonDominatedSortingSelection.CrowdingComparator	Compare two BoostingIndividuals according to their crowding distance.
BoostingPopulationPlotter	Plots the current generation's Pareto set.
BoostingTournamentSelection	Performs a tournament selection on the given population list.
EvolutionaryBoosting	Performs an evolutionary boosting.
ParetoOptimalSetOfModels	Each object of this class contains a sets of Pareto-optimal models, trading off the complexity of models against any performance metric.

Package edu.udo.cs.yale.operator.learner.meta.eaboost Description

Classes used for a multi-objective evolutionary boosting based on BayBoostModels.