io.jenetics.engine

Class EvolutionStatistics<C extends Comparable<? super C>,FitnessStatistics>

java.lang.Object

io.jenetics.engine.EvolutionStatistics<C,FitnessStatistics>

All Implemented Interfaces:

Consumer<EvolutionResult<?,C>>

public abstract class EvolutionStatistics<C extends Comparable<? super C>,FitnessStatistics>
extends Object
implements Consumer<EvolutionResult<?,C>>

This class can be used to gather additional statistic information of an evolution process. The additional information can be useful during the development phase of the GA or while testing the GA's performance. The following example shows how to integrate the statistics object into your evolution stream.

final Engine<DoubleGene, Double> engine = ... final EvolutionStatistics<Double, DoubleMomentStatistics> statistics = EvolutionStatistics.ofNumber(); final Phenotype<DoubleGene, Double> result = engine.stream() .limit(bySteadyFitness(7)) .limit(100) .peek(statistics) .collect(toBestPhenotype()); System.println(statistics);

Example output

+---------------------------------------------------------------------------+ | Time statistics | +---------------------------------------------------------------------------+ | Selection: sum=0.046538278000 s; mean=0.003878189833 s | | Altering: sum=0.086155457000 s; mean=0.007179621417 s | | Fitness calculation: sum=0.022901606000 s; mean=0.001908467167 s | | Overall execution: sum=0.147298067000 s; mean=0.012274838917 s | +---------------------------------------------------------------------------+ | Evolution statistics | +---------------------------------------------------------------------------+ | Generations: 12 | | Altered: sum=7,331; mean=610.916666667 | | Killed: sum=0; mean=0.000000000 | | Invalids: sum=0; mean=0.000000000 | +---------------------------------------------------------------------------+ | Population statistics | +---------------------------------------------------------------------------+ | Age: max=11; mean=1.951000; var=5.545190 | | Fitness: | | min = 0.000000000000 | | max = 481.748227114537 | | mean = 384.430345078660 | | var = 13006.132537301528 | | std = 114.044432 | +---------------------------------------------------------------------------+

Since:

3.0

Version:

3.0

Author:

Franz Wilhelmstötter

Method Summary

Modifier and Type	Method and Description
void	accept(EvolutionResult<?,C> result)
DoubleMomentStatistics	getAlterDuration() Return the duration statistics needed for altering the population, in seconds.
IntMomentStatistics	getAltered() Return the statistics about the altered individuals during the evolution process.
DoubleMomentStatistics	getEvaluationDuration() Return the duration statistics needed for evaluating the fitness function of the new individuals, in seconds.
DoubleMomentStatistics	getEvolveDuration() Return the duration statistics needed for the whole evolve step, in seconds.
FitnessStatistics	getFitness() Return the minimal and maximal fitness.
IntMomentStatistics	getInvalids() Return the statistics about the invalid individuals during the evolution process.
IntMomentStatistics	getKilled() Return the statistics about the killed individuals during the evolution process.
LongMomentStatistics	getPhenotypeAge() Return the statistics about the individuals age.
DoubleMomentStatistics	getSelectionDuration() Return the duration statistics needed for selecting the population, in seconds.
static <C extends Comparable<? super C>> EvolutionStatistics<C,MinMax<C>>	ofComparable()
static <N extends Number & Comparable<? super N>> EvolutionStatistics<N,DoubleMomentStatistics>	ofNumber()
String	toString()

Methods inherited from class java.lang.Object

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

Methods inherited from interface java.util.function.Consumer

andThen

Method Detail

accept

public void accept(EvolutionResult<?,C> result)

Specified by:

accept in interface Consumer<EvolutionResult<?,C extends Comparable<? super C>>>

getSelectionDuration

public DoubleMomentStatistics getSelectionDuration()

Return the duration statistics needed for selecting the population, in seconds.

Returns:

the duration statistics needed for selecting the population

getAlterDuration

public DoubleMomentStatistics getAlterDuration()

Return the duration statistics needed for altering the population, in seconds.

Returns:

the duration statistics needed for altering the population

getEvaluationDuration

public DoubleMomentStatistics getEvaluationDuration()

Return the duration statistics needed for evaluating the fitness function of the new individuals, in seconds.

Returns:

the duration statistics needed for evaluating the fitness function of the new individuals

getEvolveDuration

public DoubleMomentStatistics getEvolveDuration()

Return the duration statistics needed for the whole evolve step, in seconds.

Returns:

the duration statistics needed for the whole evolve step

getKilled

public IntMomentStatistics getKilled()

Return the statistics about the killed individuals during the evolution process.

Returns:

killed individual statistics

getInvalids

public IntMomentStatistics getInvalids()

Return the statistics about the invalid individuals during the evolution process.

Returns:

invalid individual statistics

getAltered

public IntMomentStatistics getAltered()

Return the statistics about the altered individuals during the evolution process.

Returns:

altered individual statistics

getPhenotypeAge

public LongMomentStatistics getPhenotypeAge()

Return the statistics about the individuals age.

Returns:

individual age statistics

getFitness

public FitnessStatistics getFitness()

Return the minimal and maximal fitness.

Returns:

minimal and maximal fitness

toString

public String toString()

Overrides:

toString in class Object

ofComparable

public static <C extends Comparable<? super C>> EvolutionStatistics<C,MinMax<C>> ofComparable()

ofNumber

public static <N extends Number & Comparable<? super N>> EvolutionStatistics<N,DoubleMomentStatistics> ofNumber()