kgal-core/kgal.statistics.stats

Package-level declarations

Properties

val <V, F> GA<V, F>.activeTimeTotal: Duration

Duration between all subsessions of Session.

val <V, F> EvolveScope<V, F>.best: Chromosome<V, F>?

The best Chromosome in Population by fitness. Uses a StatisticsConfig.guaranteedSorted for optimization, except in the case of a call from DistributedEvolveScope.

val <V, F> GA<V, F>.best: Chromosome<V, F>?

The best Chromosome in Population by fitness.

bestFitness

val <V, F> EvolveScope<V, F>.bestFitness: F?

The best fitness of Chromosome in Population. Uses a StatisticsConfig.guaranteedSorted for optimization, except in the case of a call from DistributedEvolveScope.

val <V, F> GA<V, F>.bestFitness: F?

The best fitness of Chromosome in Population.

mean

@get:JvmName(name = "getMeanDouble")

val EvolveScope<*, Double>.mean: Double

@get:JvmName(name = "getMeanInt")

val EvolveScope<*, Int>.mean: Double

@get:JvmName(name = "getMeanLong")

val EvolveScope<*, Long>.mean: Double

@get:JvmName(name = "getMeanDouble")

val GA<*, Double>.mean: Double

@get:JvmName(name = "getMeanInt")

val GA<*, Int>.mean: Double

@get:JvmName(name = "getMeanLong")

val GA<*, Long>.mean: Double

Mean fitness value of chromosomes in Population

median

@get:JvmName(name = "getMedianDouble")

val EvolveScope<*, Double>.median: Double

@get:JvmName(name = "getMedianInt")

val EvolveScope<*, Int>.median: Double

@get:JvmName(name = "getMedianLong")

val EvolveScope<*, Long>.median: Double

@get:JvmName(name = "getMedianDouble")

val GA<*, Double>.median: Double

@get:JvmName(name = "getMedianInt")

val GA<*, Int>.median: Double

@get:JvmName(name = "getMedianLong")

val GA<*, Long>.median: Double

Median fitness value of chromosomes in Population

timeIteration

val <V, F> EvolveScope<V, F>.timeIteration: Duration?

Duration between current and previous iteration.

timeTotal

val <V, F> GA<V, F>.timeTotal: Duration

Duration between the first STARTED and last value of timeStore

worst

val <V, F> EvolveScope<V, F>.worst: Chromosome<V, F>?

The worst Chromosome in Population by fitness. Uses a StatisticsConfig.guaranteedSorted for optimization, except in the case of a call from DistributedEvolveScope.

val <V, F> GA<V, F>.worst: Chromosome<V, F>?

The worst Chromosome in Population by fitness.

worstFitness

val <V, F> EvolveScope<V, F>.worstFitness: F?

The worst fitness of Chromosome in Population. Uses a StatisticsConfig.guaranteedSorted for optimization, except in the case of a call from DistributedEvolveScope.

val <V, F> GA<V, F>.worstFitness: F?

The worst fitness of Chromosome in Population.

Functions

best

fun <V, F> EvolveScope<V, F>.best(): Statistic<Chromosome<V, F>?>

Creates Statistic for best Chromosome in Population by fitness.

bestFitness

fun <F> EvolveScope<*, F>.bestFitness(): Statistic<F?>

Creates Statistic for best fitness of Chromosome in Population.

mean

@JvmName(name = "meanDouble")

fun EvolveScope<*, Double>.mean(): Statistic<Double>

@JvmName(name = "meanInt")

fun EvolveScope<*, Int>.mean(): Statistic<Double>

@JvmName(name = "meanLong")

fun EvolveScope<*, Long>.mean(): Statistic<Double>

Creates Statistic for mean fitness value of chromosomes in Population

median

@JvmName(name = "medianDouble")

fun EvolveScope<*, Double>.median(): Statistic<Double>

@JvmName(name = "medianInt")

fun EvolveScope<*, Int>.median(): Statistic<Double>

@JvmName(name = "medianLong")

fun EvolveScope<*, Long>.median(): Statistic<Double>

Creates Statistic for median fitness value of chromosomes in Population

size

fun EvolveScope<*, *>.size(): Statistic<Int>

Creates Statistic for size of Population

timeIteration

fun EvolveScope<*, *>.timeIteration(): Statistic<Duration?>

Creates Statistic for current timeIteration.

worst

fun <V, F> EvolveScope<V, F>.worst(): Statistic<Chromosome<V, F>?>

Creates Statistic for worst Chromosome in Population by fitness.

worstFitness

fun <F> EvolveScope<*, F>.worstFitness(): Statistic<F?>

Creates Statistic for worst fitness of Chromosome in Population.