/**
* The alterers used for alter the offspring population. <i>Default values is set to {@code new
* SinglePointCrossover<>(0.2)} followed by {@code new Mutator<>(0.15)}.</i>
*
* @param first the first alterer used for alter the offspring population
* @param rest the rest of the alterers used for alter the offspring population
* @return {@code this} builder, for command chaining
* @throws java.lang.NullPointerException if one of the alterers is {@code null}.
*/
@SafeVarargs
public final Builder<G, C> alterers(final Alterer<G, C> first, final Alterer<G, C>... rest) {
requireNonNull(first);
Stream.of(rest).forEach(Objects::requireNonNull);
_alterer = rest.length == 0 ? first : Alterer.of(rest).compose(first);
return this;
}
/**
* Builder class for building GA {@code Engine} instances.
*
* @see Engine
* @author <a href="mailto:[email protected]">Franz Wilhelmstötter</a>
* @since 3.0
* @version 3.0
*/
public static final class Builder<G extends Gene<?, G>, C extends Comparable<? super C>>
implements Copyable<Builder<G, C>> {
// No default values for this properties.
private Function<? super Genotype<G>, ? extends C> _fitnessFunction;
private Factory<Genotype<G>> _genotypeFactory;
// This are the properties which default values.
private Function<? super C, ? extends C> _fitnessScaler = a -> a;
private Selector<G, C> _survivorsSelector = new TournamentSelector<>(3);
private Selector<G, C> _offspringSelector = new TournamentSelector<>(3);
private Alterer<G, C> _alterer =
Alterer.of(new SinglePointCrossover<G, C>(0.2), new Mutator<>(0.15));
private Predicate<? super Phenotype<G, C>> _validator = Phenotype::isValid;
private Optimize _optimize = Optimize.MAXIMUM;
private double _offspringFraction = 0.6;
private int _populationSize = 50;
private long _maximalPhenotypeAge = 70;
private Executor _executor = ForkJoinPool.commonPool();
private Clock _clock = NanoClock.systemUTC();
private int _individualCreationRetries = 10;
private Builder(
final Factory<Genotype<G>> genotypeFactory,
final Function<? super Genotype<G>, ? extends C> fitnessFunction) {
_genotypeFactory = requireNonNull(genotypeFactory);
_fitnessFunction = requireNonNull(fitnessFunction);
}
/**
* Set the fitness function of the evolution {@code Engine}.
*
* @param function the fitness function to use in the GA {@code Engine}
* @return {@code this} builder, for command chaining
*/
public Builder<G, C> fitnessFunction(Function<? super Genotype<G>, ? extends C> function) {
_fitnessFunction = requireNonNull(function);
return this;
}
/**
* Set the fitness scaler of the evolution {@code Engine}. <i>Default value is set to the
* identity function.</i>
*
* @param scaler the fitness scale to use in the GA {@code Engine}
* @return {@code this} builder, for command chaining
*/
public Builder<G, C> fitnessScaler(final Function<? super C, ? extends C> scaler) {
_fitnessScaler = requireNonNull(scaler);
return this;
}
/**
* The genotype factory used for creating new individuals.
*
* @param genotypeFactory the genotype factory for creating new individuals.
* @return {@code this} builder, for command chaining
*/
public Builder<G, C> genotypeFactory(final Factory<Genotype<G>> genotypeFactory) {
_genotypeFactory = requireNonNull(genotypeFactory);
return this;
}
/**
* The selector used for selecting the offspring population. <i>Default values is set to {@code
* TournamentSelector<>(3)}.</i>
*
* @param selector used for selecting the offspring population
* @return {@code this} builder, for command chaining
*/
public Builder<G, C> offspringSelector(final Selector<G, C> selector) {
_offspringSelector = requireNonNull(selector);
return this;
}
/**
* The selector used for selecting the survivors population. <i>Default values is set to {@code
* TournamentSelector<>(3)}.</i>
*
* @param selector used for selecting survivors population
* @return {@code this} builder, for command chaining
*/
public Builder<G, C> survivorsSelector(final Selector<G, C> selector) {
_survivorsSelector = requireNonNull(selector);
return this;
}
/**
* The selector used for selecting the survivors and offspring population. <i>Default values is
* set to {@code TournamentSelector<>(3)}.</i>
*
* @param selector used for selecting survivors and offspring population
* @return {@code this} builder, for command chaining
*/
public Builder<G, C> selector(final Selector<G, C> selector) {
_offspringSelector = requireNonNull(selector);
_survivorsSelector = requireNonNull(selector);
return this;
}
/**
* The alterers used for alter the offspring population. <i>Default values is set to {@code new
* SinglePointCrossover<>(0.2)} followed by {@code new Mutator<>(0.15)}.</i>
*
* @param first the first alterer used for alter the offspring population
* @param rest the rest of the alterers used for alter the offspring population
* @return {@code this} builder, for command chaining
* @throws java.lang.NullPointerException if one of the alterers is {@code null}.
*/
@SafeVarargs
public final Builder<G, C> alterers(final Alterer<G, C> first, final Alterer<G, C>... rest) {
requireNonNull(first);
Stream.of(rest).forEach(Objects::requireNonNull);
_alterer = rest.length == 0 ? first : Alterer.of(rest).compose(first);
return this;
}
/**
* The phenotype validator used for detecting invalid individuals. Alternatively it is also
* possible to set the genotype validator with {@link #genotypeFactory(Factory)}, which will
* replace any previously set phenotype validators.
*
* <p><i>Default value is set to {@code Phenotype::isValid}.</i>
*
* @since 3.1
* @see #genotypeValidator(Predicate)
* @param validator the {@code validator} used for validating the individuals (phenotypes).
* @return {@code this} builder, for command chaining
* @throws java.lang.NullPointerException if the {@code validator} is {@code null}.
*/
public Builder<G, C> phenotypeValidator(final Predicate<? super Phenotype<G, C>> validator) {
_validator = requireNonNull(validator);
return this;
}
/**
* The genotype validator used for detecting invalid individuals. Alternatively it is also
* possible to set the phenotype validator with {@link #phenotypeValidator(Predicate)}, which
* will replace any previously set genotype validators.
*
* <p><i>Default value is set to {@code Genotype::isValid}.</i>
*
* @since 3.1
* @see #phenotypeValidator(Predicate)
* @param validator the {@code validator} used for validating the individuals (genotypes).
* @return {@code this} builder, for command chaining
* @throws java.lang.NullPointerException if the {@code validator} is {@code null}.
*/
public Builder<G, C> genotypeValidator(final Predicate<? super Genotype<G>> validator) {
requireNonNull(validator);
_validator = pt -> validator.test(pt.getGenotype());
return this;
}
/**
* The optimization strategy used by the engine. <i>Default values is set to {@code
* Optimize.MAXIMUM}.</i>
*
* @param optimize the optimization strategy used by the engine
* @return {@code this} builder, for command chaining
*/
public Builder<G, C> optimize(final Optimize optimize) {
_optimize = requireNonNull(optimize);
return this;
}
/**
* Set to a fitness maximizing strategy.
*
* @since 3.4
* @return {@code this} builder, for command chaining
*/
public Builder<G, C> maximizing() {
return optimize(Optimize.MAXIMUM);
}
/**
* Set to a fitness minimizing strategy.
*
* @since 3.4
* @return {@code this} builder, for command chaining
*/
public Builder<G, C> minimizing() {
return optimize(Optimize.MINIMUM);
}
/**
* The offspring fraction. <i>Default values is set to {@code 0.6}.</i>
*
* @param fraction the offspring fraction
* @return {@code this} builder, for command chaining
* @throws java.lang.IllegalArgumentException if the fraction is not within the range [0, 1].
*/
public Builder<G, C> offspringFraction(final double fraction) {
_offspringFraction = probability(fraction);
return this;
}
/**
* The number of individuals which form the population. <i>Default values is set to {@code
* 50}.</i>
*
* @param size the number of individuals of a population
* @return {@code this} builder, for command chaining
* @throws java.lang.IllegalArgumentException if {@code size < 1}
*/
public Builder<G, C> populationSize(final int size) {
if (size < 1) {
throw new IllegalArgumentException(
format("Population size must be greater than zero, but was %s.", size));
}
_populationSize = size;
return this;
}
/**
* The maximal allowed age of a phenotype. <i>Default values is set to {@code 70}.</i>
*
* @param age the maximal phenotype age
* @return {@code this} builder, for command chaining
* @throws java.lang.IllegalArgumentException if {@code age < 1}
*/
public Builder<G, C> maximalPhenotypeAge(final long age) {
if (age < 1) {
throw new IllegalArgumentException(
format("Phenotype age must be greater than one, but was %s.", age));
}
_maximalPhenotypeAge = age;
return this;
}
/**
* The executor used by the engine.
*
* @param executor the executor used by the engine
* @return {@code this} builder, for command chaining
*/
public Builder<G, C> executor(final Executor executor) {
_executor = requireNonNull(executor);
return this;
}
/**
* The clock used for calculating the execution durations.
*
* @param clock the clock used for calculating the execution durations
* @return {@code this} builder, for command chaining
*/
public Builder<G, C> clock(final Clock clock) {
_clock = requireNonNull(clock);
return this;
}
/**
* The maximal number of attempt before the {@code Engine} gives up creating a valid individual
* ({@code Phenotype}). <i>Default values is set to {@code 10}.</i>
*
* @since 3.1
* @param retries the maximal retry count
* @throws IllegalArgumentException if the given retry {@code count} is smaller than zero.
* @return {@code this} builder, for command chaining
*/
public Builder<G, C> individualCreationRetries(final int retries) {
if (retries < 0) {
throw new IllegalArgumentException(format("Retry count must not be negative: %d", retries));
}
_individualCreationRetries = retries;
return this;
}
/**
* Builds an new {@code Engine} instance from the set properties.
*
* @return an new {@code Engine} instance from the set properties
*/
public Engine<G, C> build() {
return new Engine<>(
_fitnessFunction,
_fitnessScaler,
_genotypeFactory,
_survivorsSelector,
_offspringSelector,
_alterer,
_validator,
_optimize,
getOffspringCount(),
getSurvivorsCount(),
_maximalPhenotypeAge,
_executor,
_clock,
_individualCreationRetries);
}
private int getSurvivorsCount() {
return _populationSize - getOffspringCount();
}
private int getOffspringCount() {
return (int) round(_offspringFraction * _populationSize);
}
/**
* Return the used {@link Alterer} of the GA.
*
* @return the used {@link Alterer} of the GA.
*/
public Alterer<G, C> getAlterers() {
return _alterer;
}
/**
* Return the {@link Clock} the engine is using for measuring the execution time.
*
* @since 3.1
* @return the clock used for measuring the execution time
*/
public Clock getClock() {
return _clock;
}
/**
* Return the {@link Executor} the engine is using for executing the evolution steps.
*
* @since 3.1
* @return the executor used for performing the evolution steps
*/
public Executor getExecutor() {
return _executor;
}
/**
* Return the fitness function of the GA engine.
*
* @since 3.1
* @return the fitness function
*/
public Function<? super Genotype<G>, ? extends C> getFitnessFunction() {
return _fitnessFunction;
}
/**
* Return the fitness scaler of the GA engine.
*
* @since 3.1
* @return the fitness scaler
*/
public Function<? super C, ? extends C> getFitnessScaler() {
return _fitnessScaler;
}
/**
* Return the used genotype {@link Factory} of the GA. The genotype factory is used for creating
* the initial population and new, random individuals when needed (as replacement for invalid
* and/or died genotypes).
*
* @since 3.1
* @return the used genotype {@link Factory} of the GA.
*/
public Factory<Genotype<G>> getGenotypeFactory() {
return _genotypeFactory;
}
/**
* Return the maximal allowed phenotype age.
*
* @since 3.1
* @return the maximal allowed phenotype age
*/
public long getMaximalPhenotypeAge() {
return _maximalPhenotypeAge;
}
/**
* Return the offspring fraction.
*
* @return the offspring fraction.
*/
public double getOffspringFraction() {
return _offspringFraction;
}
/**
* Return the used offspring {@link Selector} of the GA.
*
* @since 3.1
* @return the used offspring {@link Selector} of the GA.
*/
public Selector<G, C> getOffspringSelector() {
return _offspringSelector;
}
/**
* Return the used survivor {@link Selector} of the GA.
*
* @since 3.1
* @return the used survivor {@link Selector} of the GA.
*/
public Selector<G, C> getSurvivorsSelector() {
return _survivorsSelector;
}
/**
* Return the optimization strategy.
*
* @since 3.1
* @return the optimization strategy
*/
public Optimize getOptimize() {
return _optimize;
}
/**
* Return the number of individuals of a population.
*
* @since 3.1
* @return the number of individuals of a population
*/
public int getPopulationSize() {
return _populationSize;
}
/**
* Return the maximal number of attempt before the {@code Engine} gives up creating a valid
* individual ({@code Phenotype}).
*
* @since 3.1
* @return the maximal number of {@code Phenotype} creation attempts
*/
public int getIndividualCreationRetries() {
return _individualCreationRetries;
}
/**
* Create a new builder, with the current configuration.
*
* @since 3.1
* @return a new builder, with the current configuration
*/
@Override
public Builder<G, C> copy() {
return new Builder<>(_genotypeFactory, _fitnessFunction)
.alterers(_alterer)
.clock(_clock)
.executor(_executor)
.fitnessScaler(_fitnessScaler)
.maximalPhenotypeAge(_maximalPhenotypeAge)
.offspringFraction(_offspringFraction)
.offspringSelector(_offspringSelector)
.phenotypeValidator(_validator)
.optimize(_optimize)
.populationSize(_populationSize)
.survivorsSelector(_survivorsSelector)
.individualCreationRetries(_individualCreationRetries);
}
}
// Alters the given population. The altering is done in place.
private AlterResult<G, C> alter(final Population<G, C> population, final long generation) {
return new AlterResult<>(population, _alterer.alter(population, generation));
}
