cGA

inline fun <V, F> DistributedConfig<V, F>.cGA(population: CellularPopulation<V, F>, noinline fitnessFunction: (V) -> F? = null, config: CellularConfigScope<V, F>.() -> Unit): CellularGA<V, F>

Creates CellularGA as child for DistributedGA using Distributed Inheritance (see DistributedConfig) with Kotlin DSL.

CellularGA.random will be auto inherited from DistributedGA.random.

Example for OneMax task:

// init DistributedGA
dGA(
    // configure common factory, fitnessFunction, population name and children (if already exist)
) {
    // add Cellular GA as child to Distributed GA
    +cGA(
        population = population(dimens = Dimens.cube(length = 6)) {
            booleans(size = 100)
        },
    ) {
        elitism = true
        cellularType = CellularType.Synchronous
        neighborhood = Moore(radius = 1)

        evolve {
            evolveCells {
                selTournament(size = 3)
                cxOnePoint(chance = 0.8)
                mutFlipBit(chance = 0.2, flipBitChance = 0.01)
                evaluation()
            }

            stopBy(maxIteration = 20) { bestFitness == 100 }
        }
    }

    // set evolutionary strategy with evolve
    evolve { (this = DistributedEvolveScope)
        ...
    }
}

Parameters

population

population of CellularGA

fitnessFunction

fitness function for evaluation step, default value DistributedGA.fitnessFunction

config

scope function to initialize CellularGA