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);
}
public void SinglePointCrossoverManagerTest()
{
var crossoverManager = new SinglePointCrossoverManager <int>(A.Fake <IMutationManager <int> >(), A.Fake <IEvaluator>());
for (int i = 0; i < TEST_RUNS; i++)
{
var chromosome1 = (VectorChromosome <int>)smallPopulationGenerator1.GeneratePopulation(1).First();
var chromosome2 = (VectorChromosome <int>)smallPopulationGenerator2.GeneratePopulation(1).First();
var newChromosome = (VectorChromosome <int>)crossoverManager.Crossover(chromosome1, chromosome2);
var crossoverPoints = Utils.K_CrossoverGetCrossoverPointsAndAssertThatGenomesAreRight(newChromosome, chromosome2, chromosome1);
Assert.AreEqual(1, crossoverPoints.Count,
$"Found wrong number of crossoverPoints. 1: {chromosome1}; 2 {chromosome2}; newChromosome {newChromosome}");
}
}
