kgal-core/kgal.panmictic/PanmicticConfigScope

PanmicticConfigScope

class PanmicticConfigScope<V, F>(val population: PanmicticPopulation<V, F>, var fitnessFunction: (V) -> F) : AbstractConfigScope<V, F, PanmicticEvolveScope<V, F>> , PanmicticConfig<V, F>

Implementation of PanmicticConfig based on AbstractConfigScope. Params population and fitnessFunction are considered mandatory.

Constructors

constructor(population: PanmicticPopulation<V, F>, fitnessFunction: (V) -> F)

Properties

afterEvolution

abstract val afterEvolution: suspend PanmicticEvolveScope<V, F>.() -> Unit

Callback after evolution process. Executed at launch when GA.state is going to be State.FINISHED.

baseBefore

val baseBefore: suspend PanmicticEvolveScope<V, F>.() -> Unit

Fills population if needed and evaluates all chromosomes (include elite ones).

beforeEvolution

open override var beforeEvolution: suspend PanmicticEvolveScope<V, F>.() -> Unit

Callback before evolution process. Executed only once at launch if GA.iteration is 0.

elitism

open override var elitism: Int

Number of elite chromosomes - the best chromosomes of the population, which have privileged rights:

evolution

abstract val evolution: suspend PanmicticEvolveScope<V, F>.() -> Unit

Main evolution process.

fitnessFunction

open override var fitnessFunction: (V) -> F

Fitness function - A function that evaluates the quality or "fitness" of each individual (chromosome) in a population. The fitness function determines how well a particular solution matches the target problem.

parallelismConfig

abstract val parallelismConfig: ParallelismConfig

Parallelism configuration associated with GA.

population

open override val population: PanmicticPopulation<V, F>

Override base population as PanmicticPopulation for PanmicticGA.

random

abstract var random: Random

Random associated with GA. Defines a pseudorandom number generator for predictive calculations.

statisticsConfig

abstract val statisticsConfig: StatisticsConfig

Statistics configuration associated with GA.

timeStore

abstract val timeStore: TimeStore

Store for all TimeMarkers of GA.

Functions

after

fun <V, F> PanmicticConfigScope<V, F>.after(afterEvolution: suspend PanmicticEvolveScope<V, F>.() -> Unit)

Callback after evolution process which will be invoked when GA.state is going to be State.FINISHED.

before

fun <V, F> PanmicticConfigScope<V, F>.before(useDefault: Boolean = true, beforeEvolution: suspend PanmicticEvolveScope<V, F>.() -> Unit)

Callback before evolution process which will be invoked if GA.iteration is 0.

evolve

fun <V, F> PanmicticConfigScope<V, F>.evolve(evolution: suspend PanmicticEvolveScope<V, F>.() -> Unit)

Applies evolutionary strategy for PanmicticGA (Classical Genetic Algorithm) as evolution function in PanmicticEvolveScope that includes the process of changing the population for one iteration.

parallelismConfig

inline fun AbstractConfigScope<*, *, *>.parallelismConfig(config: ParallelismConfigScope.() -> Unit)

Creates ParallelismConfig with ParallelismConfigScope and apply it to the current Config.

inline fun PanmicticConfigScope<*, *>.parallelismConfig(config: ParallelismConfigScope.() -> Unit)

Creates ParallelismConfig with ParallelismConfigScope and apply it to the current PanmicticConfig.

statisticsConfig

inline fun AbstractConfigScope<*, *, *>.statisticsConfig(config: StatisticsConfigScope.() -> Unit)

Creates StatisticsConfig with StatisticsConfigScope and apply it to the current Config.