Class AdaptiveRatioEdaAlgorithm<G>

java.lang.Object

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

com.knezevic.edaf.v3.algorithms.dynamic.AdaptiveRatioEdaAlgorithm<G>

All Implemented Interfaces:

Algorithm<G>

Direct Known Subclasses:

MemoryEdaAlgorithm, NoisyResamplingEdaAlgorithm, RandomImmigrantsEdaAlgorithm, SlidingWindowEdaAlgorithm

public abstract class AdaptiveRatioEdaAlgorithm<G>
extends AbstractEdaAlgorithm<G>

Shared adaptive-ratio EDA driver used by dynamic and noisy aliases.

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	AdaptiveRatioEdaAlgorithm(String id, double selectionRatio, double minRatio, double maxRatio)

Method Summary

Modifier and Type	Method	Description
protected abstract void	adaptRatio(double normalizedImprovement)
protected void	afterIteration(AlgorithmContext<G> context, Population<G> previous, Population<G> next)	Optional hook for algorithm-specific per-iteration behavior.
protected static double	clamp(double value, double min, double max)
String	id()	Algorithm identifier (e.g. umda, gaussian-diag-eda, ehm-eda).
protected final double	ratio()
protected int	selectionSize(AlgorithmContext<G> context, Population<G> population)	Returns how many individuals are used for model fitting.
protected final void	setRatio(double value)

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

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

AdaptiveRatioEdaAlgorithm

protected AdaptiveRatioEdaAlgorithm(String id,
 double selectionRatio,
 double minRatio,
 double maxRatio)

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>

afterIteration

protected void afterIteration(AlgorithmContext<G> context,
 Population<G> previous,
 Population<G> next)

Description copied from class: AbstractEdaAlgorithm

Optional hook for algorithm-specific per-iteration behavior.

Overrides:

afterIteration in class AbstractEdaAlgorithm<G>

adaptRatio

protected abstract void adaptRatio(double normalizedImprovement)

ratio

protected final double ratio()

setRatio

protected final void setRatio(double value)

clamp

protected static double clamp(double value,
 double min,
 double max)