public void Start_UsingAllConfigurationCombinationsAvailable_AllRun()
{
var selections = SelectionService.GetSelectionNames();
var crossovers = CrossoverService.GetCrossoverNames();
var mutations = MutationService.GetMutationNames().Where(m => !m.Equals("Flip Bit"));
var reinsertions = ReinsertionService.GetReinsertionNames();
var chromosome = new OrderedChromosomeStub();
foreach (var s in selections)
{
foreach (var c in crossovers)
{
foreach (var m in mutations)
{
foreach (var r in reinsertions)
{
var selection = SelectionService.CreateSelectionByName(s);
var crossover = CrossoverService.CreateCrossoverByName(c);
var mutation = MutationService.CreateMutationByName(m);
var reinsertion = ReinsertionService.CreateReinsertionByName(r);
if (crossover.IsOrdered ^ mutation.IsOrdered)
{
continue;
}
if (crossover.ParentsNumber > crossover.ChildrenNumber && !reinsertion.CanExpand)
{
continue;
}
if (mutation is UniformMutation)
{
mutation = new UniformMutation(1);
}
var target = new GeneticAlgorithm(
new Population(50, 50, chromosome.Clone())
{
GenerationStrategy = new TrackingGenerationStrategy()
},
new FitnessStub()
{
SupportsParallel = false
},
selection,
crossover,
mutation);
target.Reinsertion = reinsertion;
target.Termination = new GenerationNumberTermination(25);
target.CrossoverProbability = reinsertion.CanExpand ? 0.75f : 1f;
target.Start();
Assert.AreEqual(25, target.Population.Generations.Count);
}
}
}
}
}
public void GetReinsertionNames_NoArgs_AllAvailableReinsertionsNames()
{
var actual = ReinsertionService.GetReinsertionNames();
Assert.AreEqual(4, actual.Count);
Assert.AreEqual("Elitist", actual[0]);
Assert.AreEqual("Fitness Based", actual[1]);
Assert.AreEqual("Pure", actual[2]);
Assert.AreEqual("Uniform", actual[3]);
}