Package com.knezevic.edaf.v3.models.discrete

package com.knezevic.edaf.v3.models.discrete

Probabilistic models for discrete/binary search spaces.

Contains factorized, dependency-tree and Bayesian-network inspired estimators with checkpoint-safe state restoration.

Related Packages

Package	Description
com.knezevic.edaf.v3.models.discrete.plugins
com.knezevic.edaf.v3.models.discrete.token

Classes

Class	Description
BernoulliUmdaModel	Univariate Marginal Distribution Algorithm (UMDA) model for bitstrings.
BmdaModel	Bivariate Marginal Distribution Algorithm (BMDA) model.
BoaEbnaModel	Sparse Bayesian-network model used by BOA/EBNA-style discrete EDAs.
CompactGaModel	Compact Genetic Algorithm (cGA)-style probability-vector model.
HierarchicalBoaModel	Hierarchical BOA-style sparse Bayesian-network model for bitstrings.
MimicChowLiuModel	MIMIC-style model using a Chow-Liu maximum-weight dependency tree.
PbilFrequencyModel	Population-Based Incremental Learning (PBIL) probability-vector model.