Class UniformCrossover

Namespace

OptunaSharp.Samplers.Nsgaii

Assembly

OptunaSharp.dll

Uniform Crossover operation used by NSGAIISampler. Port of optuna/samplers/nsgaii/_crossovers/_uniform.py: UniformCrossover.

Select each parameter with equal probability from the two parent individuals.

public class UniformCrossover : BaseCrossover

Inheritance

object

BaseCrossover

UniformCrossover

Inherited Members

BaseCrossover.ToString()

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

Constructors

UniformCrossover(double)

Configures the probability that an offspring coordinate comes from the second parent.

public UniformCrossover(double swappingProb = 0.5)

Parameters

swappingProb double

Probability of swapping each parameter of the parents during crossover.

Exceptions

ValueError

The swapping probability is outside [0, 1].

Properties

NParents

Number of parent individuals required to perform crossover.

public override int NParents { get; }

Property Value

int

Methods

Crossover(double[][], NumPyRandom, Study, double[,])

Perform crossover of selected parent individuals.

public override double[] Crossover(double[][] parentsParams, NumPyRandom rng, Study study, double[,] searchSpaceBounds)

Parameters

parentsParams double[][]

A num_parents x num_parameters array. Represents a parameter space for each parent individual (continuous for numerical parameters). Row i is parent i.

rng NumPyRandom

An instance of numpy.random.RandomState.

study Study

Target study object.

searchSpaceBounds double[,]

A len_search_space x 2 array of numerical distribution bounds constructed from the transformed search space. Column 0 is lower, column 1 is upper.

Returns

double[]

A 1-dimensional array containing the new parameter combination.