kgal-core/kgal.operators

Package-level declarations

Properties

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const val STEADY_GENERATIONS: String

Name for EvolveScope.store to store target value on previous iteration for comparison

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const val STEADY_GENERATIONS_CURRENT_ITERATION: String

Name for EvolveScope.store to store steady iteration

Functions

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inline fun <V, F> Chromosome<V, F>.evaluate(fitnessFunction: (V) -> F)

Base evaluates function for Chromosome by fitnessFunction

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inline suspend fun <V, F> EvolveScope<V, F>.evaluateAll(start: Int, end: Int, parallelismLimit: Int, crossinline fitnessFunction: (V) -> F)

Base evaluates function for all chromosomes in Population by fitnessFunction

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inline fun <V, F, ES : EvolveScope<V, F>> ES.isSteadyGenerations(targetIterationCount: Int, storeNamePrevious: String = STEADY_GENERATIONS, storeNameIteration: String = STEADY_GENERATIONS_CURRENT_ITERATION): Boolean

Check for steady generation with Chromosome.fitness.

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inline fun <V, F, ES : EvolveScope<V, F>> ES.onSteadyGenerations(targetIterationCount: Int, storeNamePrevious: String = STEADY_GENERATIONS, storeNameIteration: String = STEADY_GENERATIONS_CURRENT_ITERATION, onSteadyGenerations: ES.(target: F) -> Unit): Boolean

Check for steady generation with Chromosome.fitness.

inline fun <T : Comparable<T>, V, F, ES : EvolveScope<V, F>> ES.onSteadyGenerations(target: T, targetIterationCount: Int, storeNamePrevious: String = STEADY_GENERATIONS, storeNameIteration: String = STEADY_GENERATIONS_CURRENT_ITERATION, onSteadyGenerations: ES.(target: T) -> Unit): Boolean
inline fun <T, V, F, ES : EvolveScope<V, F>> ES.onSteadyGenerations(target: T, targetIterationCount: Int, storeNamePrevious: String = STEADY_GENERATIONS, storeNameIteration: String = STEADY_GENERATIONS_CURRENT_ITERATION, equalsPredicate: (current: T, previous: T) -> Boolean, onSteadyGenerations: ES.(target: T) -> Unit): Boolean

Check for steady generation with target.

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inline fun <V, F> EvolveScope<V, F>.shake(percent: Double): Pair<Int, Int>

Shake percent*100% population with Population.reset function.

fun <V, F> EvolveScope<V, F>.shake(from: Int, to: Int)

Shake population with Population.reset function.

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inline suspend fun <V, F, ES : EvolveScope<V, F>> ES.shakeBy(percent: Double, evaluateNew: Boolean = true, parallelismLimit: Int = parallelismConfig.workersCount, noinline fitnessFunction: (V) -> F = this.fitnessFunction, predicate: ES.() -> Boolean)

Shake percent*100% population with Population.reset function if predicate is true.

inline suspend fun <V, F, ES : EvolveScope<V, F>> ES.shakeBy(from: Int, to: Int, evaluateNew: Boolean = true, parallelismLimit: Int = parallelismConfig.workersCount, noinline fitnessFunction: (V) -> F = this.fitnessFunction, predicate: ES.() -> Boolean)

Shake population with Population.reset function if predicate is true.

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inline fun <V, F> EvolveScope<V, F>.stopBy(stopCondition: EvolveScope<V, F>.() -> Boolean)

Stop and finish GA if stopCondition return true.

inline fun <V, F> EvolveScope<V, F>.stopBy(maxIteration: Int = Int.MAX_VALUE)

Stop and finish GA if iteration more or equal to maxIteration.

inline fun <V, F> EvolveScope<V, F>.stopBy(maxIteration: Int = Int.MAX_VALUE, stopCondition: EvolveScope<V, F>.() -> Boolean)

Stop and finish GA if: