Class RatioBasedEdaAlgorithm<G>

java.lang.Object

com.knezevic.edaf.v3.core.api.AbstractEdaAlgorithm<G>

com.knezevic.edaf.v3.algorithms.RatioBasedEdaAlgorithm<G>

Type Parameters:

G - genotype type

All Implemented Interfaces:

Algorithm<G>

Direct Known Subclasses:

BlockCovarianceEdaAlgorithm, BmdaAlgorithm, BoaAlgorithm, CemAlgorithm, CgaAlgorithm, ChowLiuEdaAlgorithm, CmaEsAlgorithm, CopulaEdaAlgorithm, DependencyTreeEdaAlgorithm, EbnaAlgorithm, EhbsaAlgorithm, EhmPermutationEdaAlgorithm, FactorizedDiscreteEdaAlgorithm, FlowEdaAlgorithm, FullCovarianceEdaAlgorithm, GaussianDiagEdaAlgorithm, GmmEdaAlgorithm, HBoaAlgorithm, IgoAlgorithm, IndicatorEdaAlgorithm, KdeEdaAlgorithm, KendallPermutationEdaAlgorithm, LowRankCovarianceEdaAlgorithm, MallowsEdaAlgorithm, MimicAlgorithm, MimicContinuousAlgorithm, MoEdaSkeletonAlgorithm, ParetoEdaAlgorithm, PbilAlgorithm, PbilRealAlgorithm, PlackettLuceEdaAlgorithm, PositionBasedPermutationEdaAlgorithm, SNesAlgorithm, TreeEdaAlgorithm, UmdaAlgorithm, UmdaContinuousAlgorithm, XNesAlgorithm

public class RatioBasedEdaAlgorithm<G>
extends AbstractEdaAlgorithm<G>

Generic ratio-based EDA driver.

This base class implements the canonical EDA cycle from AbstractEdaAlgorithm: initialize population, evaluate, select elites, fit model, sample offspring, and apply replacement. The only strategy detail overridden here is elite size:

   eliteCount = round(selectionRatio * populationSize)
 

clipped to at least one individual.

Dedicated algorithm aliases (UMDA, BOA, PBIL, etc.) inherit this behavior and express algorithm identity through plugin/model selection in configuration.

Constructor Summary

Constructors

Constructor	Description
RatioBasedEdaAlgorithm(String id, double selectionRatio)

Method Summary

Modifier and Type	Method	Description
String	id()	Algorithm identifier (e.g. umda, gaussian-diag-eda, ehm-eda).
protected int	selectionSize(AlgorithmContext<G> context, Population<G> population)	Returns how many individuals are used for model fitting.

Methods inherited from class com.knezevic.edaf.v3.core.api.AbstractEdaAlgorithm

afterIteration, complete, evaluateGenotype, initialize, iterate, postProcessPopulation, restoreState, result, run, state

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

RatioBasedEdaAlgorithm

public RatioBasedEdaAlgorithm(String id,
 double selectionRatio)

Parameters:

id - stable algorithm identifier used in events, persistence and CLI

selectionRatio - fraction of population used for model fitting

Method Details

id

public String id()

Description copied from interface: Algorithm

Algorithm identifier (e.g. umda, gaussian-diag-eda, ehm-eda).

selectionSize

protected int selectionSize(AlgorithmContext<G> context,
 Population<G> population)

Description copied from class: AbstractEdaAlgorithm

Returns how many individuals are used for model fitting.

Specified by:

selectionSize in class AbstractEdaAlgorithm<G>