public static void Main(String[] args)
{
GeneticSelectionProcess <Population <TestIndividual <Boolean>, Boolean>, TestIndividual <Boolean>,
Chromosome <Boolean>, Boolean, ProcessInformation> .Builder builder =
new GeneticSelectionProcess <Population <TestIndividual <Boolean>, Boolean>, TestIndividual <Boolean>,
Chromosome <Boolean>, Boolean, ProcessInformation> .Builder();
Random rng = new Random();
Int32 genomeSize = 100;
Int32 targetFitness = 90;
Int32 fitnessDeltaTolerance = 10;
Int32 populationSize = 1000;
Double mutationRate = 0.01;
GeneticSelectionProcess <Population <TestIndividual <Boolean>, Boolean>, TestIndividual <Boolean>,
Chromosome <Boolean>, Boolean, ProcessInformation> process = builder
.SetInitialPopulationSize(populationSize).UseDefaultConsoleLogger()
.SetProcessInformationComposer(
new ProcessInformationComposer <Population <TestIndividual <Boolean>, Boolean>, TestIndividual <Boolean>
, Boolean>())
.SetMatingFunction(
new CrossOverMatingFunction <TestIndividual <Boolean>, Chromosome <Boolean>, Boolean>(3))
// new RandomCombinationMatingFunction<
// TestIndividual<Boolean>
// , Chromosome<Boolean>
// , Boolean>())
.SetParentSelector(
new SingleGroupFittestParentsSelector <Population <TestIndividual <Boolean>, Boolean>,
TestIndividual <Boolean>, Boolean>()).SetFitnessFunction(new TestFitnessFunction())
.SetSurvivorSelector(
new ReplaceLeastFitSelector <Population <TestIndividual <Boolean>, Boolean>, TestIndividual <Boolean>,
Boolean>())
.SetPopulationInitializer(
new BooleanRandomPopulationInitializer <Population <TestIndividual <Boolean>, Boolean>,
TestIndividual <Boolean>, Chromosome <Boolean> >(genomeSize))
.AddTerminationCondition(
new FitnessTerminator <Population <TestIndividual <Boolean>, Boolean>, TestIndividual <Boolean>, Boolean
>(targetFitness))
.AddPopulationModifier(
new RandomMutationModifier <Population <TestIndividual <Boolean>, Boolean>, TestIndividual <Boolean>,
Boolean>(mutationRate, () => rng.Next(2) == 1)).Build();
process.Initialize();
process.RunUntilConvergence();
IndividualWithFitness <TestIndividual <Boolean>, Boolean> fittest = process.GetPopulation().GetFittest();
Double fittestFitness = fittest.GetFitness();
Boolean[] fittestGenome = fittest.GetIndividual().GetChromosome().GetGenome();
Console.WriteLine($"Max fitness {fittestFitness}");
Console.WriteLine($"Genome {string.Join("", fittestGenome.Select(b => b ? 1 : 0))}");
Console.WriteLine("Done");
}
public void TrivialMaximizeTruesProcessShouldRun()
{
Random rng = new Random();
Int32 genomeSize = 100;
Int32 targetFitness = 90;
Int32 populationSize = 100;
Double mutationRate = 0.01;
var matingFunctions = new List <IMatingFunction <TestIndividual <Boolean>, Chromosome <Boolean>, Boolean> >
{
new CrossOverMatingFunction <TestIndividual <Boolean>, Chromosome <Boolean>, Boolean>(1)
, new CrossOverMatingFunction <TestIndividual <Boolean>, Chromosome <Boolean>, Boolean>(3)
, new RandomCombinationMatingFunction <TestIndividual <Boolean>, Chromosome <Boolean>, Boolean>()
};
foreach (IMatingFunction <TestIndividual <Boolean>, Chromosome <Boolean>, Boolean> matingFunction in
matingFunctions)
{
var builder =
new GeneticSelectionProcess <Population <TestIndividual <Boolean>, Boolean>, TestIndividual <Boolean>,
Chromosome <Boolean>, Boolean, ProcessInformation> .Builder();
var process = builder.SetInitialPopulationSize(populationSize).UseDefaultConsoleLogger()
.SetProcessInformationComposer(
new ProcessInformationComposer <Population <TestIndividual <Boolean>, Boolean>,
TestIndividual <Boolean>, Boolean>()).SetMatingFunction(matingFunction)
.SetParentSelector(
new SingleGroupFittestParentsSelector <Population <TestIndividual <Boolean>, Boolean>,
TestIndividual <Boolean>, Boolean>()).SetFitnessFunction(new TestFitnessFunction())
.SetSurvivorSelector(
new ReplaceLeastFitSelector <Population <TestIndividual <Boolean>, Boolean>,
TestIndividual <Boolean>, Boolean>())
.SetPopulationInitializer(
new BooleanRandomPopulationInitializer <Population <TestIndividual <Boolean>, Boolean>,
TestIndividual <Boolean>, Chromosome <Boolean> >(genomeSize))
.AddTerminationCondition(
new FitnessTerminator <Population <TestIndividual <Boolean>, Boolean>, TestIndividual <Boolean>,
Boolean>(targetFitness))
.AddPopulationModifier(
new RandomMutationModifier <Population <TestIndividual <Boolean>, Boolean>, TestIndividual <Boolean>
, Boolean>(mutationRate, () => rng.Next(2) == 1)).Build();
process.Initialize();
process.RunUntilConvergence();
IndividualWithFitness <TestIndividual <Boolean>, Boolean> fittest = process.GetPopulation().GetFittest();
Double fittestFitness = fittest.GetFitness();
Boolean[] fittestGenome = fittest.GetIndividual().GetChromosome().GetGenome();
Double expectedFitness = fittestGenome.Select(b => b ? 1 : 0).Sum();
Assert.True(fittestFitness >= 90);
Assert.True(expectedFitness >= 90);
Assert.True(expectedFitness.AreDoublesEqual(fittestFitness));
IList <ProcessInformation> history = process.GetHistory();
Assert.True(history.Count > 1);
Assert.True(fittestFitness.AreDoublesEqual(history[history.Count - 1].FittestFitness));
}
}