Package es.urjc.etsii.grafo.moocore
package es.urjc.etsii.grafo.moocore
Mathematical operations for multi-objective optimization.
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ClassDescriptionA matrix of objective vectors and the set identifier of each row.Output representation for empirical-attainment-function differences.Sampling distributions supported by HYPE weighted hypervolume.Reusable exact hypervolume indicator.Algorithms available for approximate hypervolume computation.Pair of datasets with the largest EAF difference and its value.Static facade for multi-objective mathematical operations.Shapes supported by random nondominated-set generation.Hypervolume deviation relative to a reference front; lower values are better.Vorob'ev threshold, expectation, and average hypervolume.