public SimulatedAnnealingTests()
{
Algorithm =
new SimulatedAnnealing(
_graphFactory.ProvideValid(),
_problemProvider.ProvideSubstitute(),
_coolingSetupFactory.ProvideValid());
}
public void ISelectionStrategy_Set_ThrowsOnNullPopulation()
{
Assert.Throws <ArgumentException>(() =>
{
Strategy.Set(null);
});
Strategy.Set(IndividualProvider.ProvideValid());
}
public EdgeTests()
{
_graph = _graphProvider.ProvideValid();
_validNode1 = _graph.AddNode("1");
_validNode2 = _graph.AddNode("2");
_validNode3 = _graph.AddNode("3");
_otherGraphNode = _graphProvider.ProvideValid().AddNode("1");
_notAddedNode = new Node("5", _graph);
}
public void ISelectionStrategy_Set_ThrowsOnProblemMismatch()
{
Assert.Throws <AlgorithmException>(() =>
{
var graph = GraphDataProvider.ProvideValid();
var problem = ProblemProvider.ProvideSubstitute();
var individuals = new List <Individual>
{
new Individual(graph, problem),
new Individual(graph, ProblemProvider.ProvideSubstitute())
};
Strategy.Set(individuals);
});
}
public void IMutationStrategy_Mutate_ThrowsOnNullIndividual()
{
Assert.Throws <ArgumentException>(() =>
{
Strategy.Mutate(null);
});
Strategy.Mutate(IndividualProvider.ProvideValid().FirstOrDefault());
}
private void NextCoupleSetup(ISelectionStrategy strategy)
{
var testIndividuals = IndividualProvider.ProvideValid().ToList();
if (testIndividuals.Count < 2)
{
throw new InvalidOperationException();
}
strategy.NextCouple().Returns(new Tuple <Individual, Individual>(testIndividuals[0], testIndividuals[1]));
}
/// <summary>
/// Provides valid instance of declared type.
/// </summary>
/// <returns></returns>
public ICollection <Individual> ProvideValid()
{
var graph = _graphProvider.ProvideValid();
var problem = _problemProvider.ProvideSubstitute();
return(new List <Individual> {
new Individual(graph, problem),
new Individual(graph, problem),
new Individual(graph, problem)
});
}
public GeneticAlgorithmTests()
{
Algorithm = new GeneticAlgorithm(_graphFactory.ProvideValid(),
_problemProvider.ProvideSubstitute(),
_operatorsProvider.ProvideSubstitute(),
_settingsProvider.ProvideValid());
_geneticAlgorithmThatAlwaysCrossoversAndMutates = new GeneticAlgorithm(_graphFactory.ProvideValid(),
_problemProvider.ProvideSubstitute(),
_operatorsProvider.ProvideSubstitute(),
new GeneticAlgorithmSettings(generationsToCome: 1, crossoverProbability: 1d, mutationProbability: 1d));
_geneticAlgorithmThatHasLotsOfGenerations = new GeneticAlgorithm(_graphFactory.ProvideValid(),
_problemProvider.ProvideSubstitute(),
_operatorsProvider.ProvideSubstitute(),
new GeneticAlgorithmSettings(generationsToCome: 20, initialPopulationSize: 4));
_geneticAlgorithmThatAlwaysCrossoversAndMutatesAndPerformsElitism = new GeneticAlgorithm(_graphFactory.ProvideValid(),
_problemProvider.ProvideSubstitute(),
_operatorsProvider.ProvideSubstitute(),
new GeneticAlgorithmSettings(generationsToCome: 1, crossoverProbability: 1d, mutationProbability: 1d, withElitistSelection: true));
}
public NodeGeneratorTests()
{
_generator = new NodeGenerator();
_graph = _graphProvider.ProvideValid();
}
public NodeTests()
{
_graph = _graphProvider.ProvideValid();
_validNode = _graph.AddNode("1");
_validNeighbour = _graph.AddNode("2");
}
protected ICrossoverStrategyTests()
{
ValidGraph = GraphProvider.ProvideValid();
ValidProblem = ProblemProvider.ProvideSubstitute();
}
