public void IntVectorChromosomePopulationGenerator_CreatesChromosomeOfWithRightValues(int minGenome, int maxGenome)
{
var populationGenerator =
new IntVectorChromosomePopulationGenerator(10, minGenome, maxGenome, A.Fake <IMutationManager <int> >(), A.Fake <IEvaluator>());
populationGenerator.TestChromosomes <int>(minGenome, maxGenome);
}
public void IntVectorChromosomePopulationGenerator_CreatesChromosomeOfRightSize(int chromosomeSize)
{
var populationGenerator =
new IntVectorChromosomePopulationGenerator(chromosomeSize, 0, 10, A.Fake <IMutationManager <int> >(), A.Fake <IEvaluator>());
var vector = (VectorChromosome <int>)populationGenerator.GeneratePopulation(1).First();
Assert.AreEqual(chromosomeSize, vector.GetVector().Length);
}
private void InitializeEngine()
{
var mutationManager = new IntUniformMutationManager(0, 100);
var evaluator = new BasicEvaluator();
var populationGenerator =
new IntVectorChromosomePopulationGenerator(VECTOR_SIZE, 0, 1, mutationManager, evaluator);
var crossoverManager = new SinglePointCrossoverManager <int>(mutationManager, evaluator);
var engineBuilder =
new GeneticSearchEngineBuilder(POPULATION_SIZE, GENERATION, crossoverManager, populationGenerator)
.SetMutationProbability(MutationInputBox.GetValue).SetElitePercentage(ElitismInputBox.GetValue);
searchRunner1.SetEngineBuilder(engineBuilder);
}
