kgal-core/kgal.panmictic.operators.crossover

Package-level declarations

Types

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sealed interface CrossoverType

CrossoverType describes the strategy of the crossing stage in PanmicticGA

Functions

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inline suspend fun <V, F> PanmicticEvolveScope<V, F>.crossover(chance: Double, parallelismLimit: Int, crossoverType: CrossoverType, crossinline crossover: suspend (chromosome1: Chromosome<V, F>, chromosome2: Chromosome<V, F>, random: Random) -> Unit)

Performs a crossover step for population in PanmicticGA that modify in-place the input chromosomes.

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@JvmName(name = "cxBlendDoubleArray")
suspend fun <F> PanmicticEvolveScope<DoubleArray, F>.cxBlend(chance: Double, alpha: Double, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxBlendFloatArray")
suspend fun <F> PanmicticEvolveScope<FloatArray, F>.cxBlend(chance: Double, alpha: Float, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)

Executes a blend crossover that modify in-place the input chromosomes. The blend crossover expects Chromosome.value of floating point numbers.

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@JvmName(name = "cxKPointArray")
suspend fun <T, F> PanmicticEvolveScope<Array<T>, F>.cxKPoint(chance: Double, count: Int, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxKPointBooleanArray")
suspend fun <F> PanmicticEvolveScope<BooleanArray, F>.cxKPoint(chance: Double, count: Int, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxKPointByteArray")
suspend fun <F> PanmicticEvolveScope<ByteArray, F>.cxKPoint(chance: Double, count: Int, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxKPointCharArray")
suspend fun <F> PanmicticEvolveScope<CharArray, F>.cxKPoint(chance: Double, count: Int, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxKPointDoubleArray")
suspend fun <F> PanmicticEvolveScope<DoubleArray, F>.cxKPoint(chance: Double = 0.9, count: Int, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxKPointFloatArray")
suspend fun <F> PanmicticEvolveScope<FloatArray, F>.cxKPoint(chance: Double, count: Int, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxKPointIntArray")
suspend fun <F> PanmicticEvolveScope<IntArray, F>.cxKPoint(chance: Double, count: Int, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxKPointLongArray")
suspend fun <F> PanmicticEvolveScope<LongArray, F>.cxKPoint(chance: Double, count: Int, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxKPointShortArray")
suspend fun <F> PanmicticEvolveScope<ShortArray, F>.cxKPoint(chance: Double, count: Int, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxKPointMutableList")
suspend fun <T, F> PanmicticEvolveScope<MutableList<T>, F>.cxKPoint(chance: Double, count: Int, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)

Executes a K point crossover on the input sequence individuals. The two values are modified in place.

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@JvmName(name = "cxOnePointArray")
suspend fun <T, F> PanmicticEvolveScope<Array<T>, F>.cxOnePoint(chance: Double, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxOnePointBooleanArray")
suspend fun <F> PanmicticEvolveScope<BooleanArray, F>.cxOnePoint(chance: Double, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxOnePointByteArray")
suspend fun <F> PanmicticEvolveScope<ByteArray, F>.cxOnePoint(chance: Double, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxOnePointCharArray")
suspend fun <F> PanmicticEvolveScope<CharArray, F>.cxOnePoint(chance: Double, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxOnePointDoubleArray")
suspend fun <F> PanmicticEvolveScope<DoubleArray, F>.cxOnePoint(chance: Double = 0.9, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxOnePointFloatArray")
suspend fun <F> PanmicticEvolveScope<FloatArray, F>.cxOnePoint(chance: Double, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxOnePointIntArray")
suspend fun <F> PanmicticEvolveScope<IntArray, F>.cxOnePoint(chance: Double, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxOnePointLongArray")
suspend fun <F> PanmicticEvolveScope<LongArray, F>.cxOnePoint(chance: Double, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxOnePointShortArray")
suspend fun <F> PanmicticEvolveScope<ShortArray, F>.cxOnePoint(chance: Double, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxOnePointMutableList")
suspend fun <T, F> PanmicticEvolveScope<MutableList<T>, F>.cxOnePoint(chance: Double, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)

Executes a one point crossover on the input sequence individuals. The two values are modified in place.

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@JvmName(name = "cxOrderedIntArray")
suspend fun <F> PanmicticEvolveScope<IntArray, F>.cxOrdered(chance: Double, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)

Executes an ordered crossover (OX) on the input chromosome values. The two value are modified in place. This crossover expects Chromosome.value as IntArray. Mixes indexes without conflicts, preserving parental relationships.

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@JvmName(name = "cxSimulatedBinaryDoubleArray")
suspend fun <F> PanmicticEvolveScope<DoubleArray, F>.cxSimulatedBinary(chance: Double, eta: Double, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)

Executes a simulated binary crossover that modify in-place the input chromosomes. The simulated binary crossover expects Chromosome.value of floating point numbers.

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@JvmName(name = "cxSimulatedBinaryBoundedDoubleArray")
suspend fun <F> PanmicticEvolveScope<DoubleArray, F>.cxSimulatedBinaryBounded(chance: Double, eta: Double, low: Double, up: Double, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)

Executes a simulated binary crossover that modify in-place the input chromosomes. The simulated binary crossover expects Chromosome.value of floating point numbers.

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@JvmName(name = "cxUniformArray")
suspend fun <T, F> PanmicticEvolveScope<Array<T>, F>.cxUniform(chance: Double, chanceUniform: Double, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxUniformBooleanArray")
suspend fun <F> PanmicticEvolveScope<BooleanArray, F>.cxUniform(chance: Double, chanceUniform: Double, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxUniformByteArray")
suspend fun <F> PanmicticEvolveScope<ByteArray, F>.cxUniform(chance: Double, chanceUniform: Double, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxUniformCharArray")
suspend fun <F> PanmicticEvolveScope<CharArray, F>.cxUniform(chance: Double, chanceUniform: Double, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxUniformDoubleArray")
suspend fun <F> PanmicticEvolveScope<DoubleArray, F>.cxUniform(chance: Double = 0.9, chanceUniform: Double, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxUniformFloatArray")
suspend fun <F> PanmicticEvolveScope<FloatArray, F>.cxUniform(chance: Double, chanceUniform: Double, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxUniformIntArray")
suspend fun <F> PanmicticEvolveScope<IntArray, F>.cxUniform(chance: Double, chanceUniform: Double, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxUniformLongArray")
suspend fun <F> PanmicticEvolveScope<LongArray, F>.cxUniform(chance: Double, chanceUniform: Double, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxUniformShortArray")
suspend fun <F> PanmicticEvolveScope<ShortArray, F>.cxUniform(chance: Double, chanceUniform: Double, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)
@JvmName(name = "cxUniformMutableList")
suspend fun <T, F> PanmicticEvolveScope<MutableList<T>, F>.cxUniform(chance: Double, chanceUniform: Double, parallelismLimit: Int = parallelismConfig.workersCount, crossoverType: CrossoverType = CrossoverType.Iterative)

Executes a uniform crossover that modify in-place the input chromosomes. The attributes are swapped according to the chanceUniform probability.

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inline suspend fun <V, F> PanmicticEvolveScope<V, F>.iterativeCrossover(chance: Double, parallelismLimit: Int, crossinline crossover: suspend (chromosome1: Chromosome<V, F>, chromosome2: Chromosome<V, F>, random: Random) -> Unit)

Executes CrossoverType.Iterative crossing.

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inline suspend fun <V, F> PanmicticEvolveScope<V, F>.randomlyCrossover(chance: Double, parallelismLimit: Int, crossinline crossover: suspend (chromosome1: Chromosome<V, F>, chromosome2: Chromosome<V, F>, random: Random) -> Unit)

Executes CrossoverType.Randomly crossing.