Class SNesModel

java.lang.Object

com.knezevic.edaf.v3.models.continuous.SNesModel

All Implemented Interfaces:

Model<RealVector>

public final class SNesModel
extends Object
implements Model<RealVector>

Separable Natural Evolution Strategies (sNES) model.

State parameters are per-dimension mean/scale and therefore separable:

   x_d = μ_d + σ_d z_d,   z_d ~ N(0,1)
 

Update uses rank-based utilities and natural-gradient style statistics:

   ∇_μ ∝ Σ u_k z_k
   ∇_σ ∝ Σ u_k (z_k² - 1)
 

with exponential update for σ to keep positivity.

Constructor Summary

Constructors

Constructor	Description
SNesModel(double etaMean, double etaSigma, double minSigma, double maxSigma)

Method Summary

Modifier and Type	Method	Description
ModelDiagnostics	diagnostics()	Exposes diagnostics (entropy, covariance condition number, etc.).
void	fit(List<Individual<RealVector>> selected, Representation<RealVector> representation, RngStream rng)	Fits model parameters from selected individuals.
String	name()	Model identifier used in configuration and listing commands.
List<RealVector>	sample(int count, Representation<RealVector> representation, Problem<RealVector> problem, ConstraintHandling<RealVector> constraintHandling, RngStream rng)	Samples new genotypes from model.

Methods inherited from class java.lang.Object

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

Methods inherited from interface com.knezevic.edaf.v3.core.api.Model

update

Constructor Details

SNesModel

public SNesModel(double etaMean,
 double etaSigma,
 double minSigma,
 double maxSigma)

Parameters:

etaMean - learning rate for mean parameters

etaSigma - learning rate for log-scale updates

minSigma - minimum standard deviation

maxSigma - maximum standard deviation

Method Details

name

public String name()

Description copied from interface: Model

Model identifier used in configuration and listing commands.

Specified by:

name in interface Model<RealVector>

fit

public void fit(List<Individual<RealVector>> selected,
 Representation<RealVector> representation,
 RngStream rng)

Description copied from interface: Model

Fits model parameters from selected individuals.

Specified by:

fit in interface Model<RealVector>

sample

public List<RealVector> sample(int count,
 Representation<RealVector> representation,
 Problem<RealVector> problem,
 ConstraintHandling<RealVector> constraintHandling,
 RngStream rng)

Description copied from interface: Model

Samples new genotypes from model.

Specified by:

sample in interface Model<RealVector>

diagnostics

public ModelDiagnostics diagnostics()

Description copied from interface: Model

Exposes diagnostics (entropy, covariance condition number, etc.).

Specified by:

diagnostics in interface Model<RealVector>