pl.edu.agh.age.compute.ea.preselection

Class StochasticPreselection<R extends java.io.Serializable,T extends Solution<io.vavr.collection.Array<R>>>

java.lang.Object

pl.edu.agh.age.compute.ea.preselection.ArrayPreselection<R,T>

pl.edu.agh.age.compute.ea.preselection.StochasticPreselection<R,T>

All Implemented Interfaces:

io.vavr.Function1<io.vavr.collection.List<T>,io.vavr.collection.List<T>>, java.util.function.Function<io.vavr.collection.List<T>,io.vavr.collection.List<T>>, Preselection<T>

public final class StochasticPreselection<R extends java.io.Serializable,T extends Solution<io.vavr.collection.Array<R>>>
extends ArrayPreselection<R,T>

Stochastic universal sampling implementation. Scales solutions evaluations using a provided Scaling.

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static interface	io.vavr.Lambda.Memoized

Field Summary

Fields

Modifier and Type	Field and Description
private NormalizedDoubleRandomGenerator	rand
private Scaling	scaling

Fields inherited from interface io.vavr.Function1

serialVersionUID

Constructor Summary

Constructors

Constructor and Description
StochasticPreselection(Scaling scaling, NormalizedDoubleRandomGenerator rand)

Method Summary

Modifier and Type	Method and Description
default boolean	isMemoized()
protected int[]	preselectIndices(double[] values) Performs the actual preselection.

Methods inherited from class pl.edu.agh.age.compute.ea.preselection.ArrayPreselection

preselect

Methods inherited from class java.lang.Object

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

Methods inherited from interface pl.edu.agh.age.compute.ea.preselection.Preselection

apply

Methods inherited from interface io.vavr.Function1

andThen, arity, compose, constant, curried, identity, lift, liftTry, memoized, narrow, of, partial, reversed, tupled

Field Detail

scaling

private final Scaling scaling

rand

private final NormalizedDoubleRandomGenerator rand

Constructor Detail

StochasticPreselection

public StochasticPreselection(Scaling scaling,
                              NormalizedDoubleRandomGenerator rand)

Method Detail

preselectIndices

protected int[] preselectIndices(double[] values)

Description copied from class: ArrayPreselection

Performs the actual preselection. Given an array of evaluation values, returns an array containing indices of the preselected solutions. Any given solution may be preselected multiple times, in which case it will be copied in the resulting preselected population.

Specified by:

preselectIndices in class ArrayPreselection<R extends java.io.Serializable,T extends Solution<io.vavr.collection.Array<R>>>

Parameters:

values - The solutions evaluation values

Returns:

The indices of the preselected solutions

isMemoized

public boolean isMemoized()