public void GivenListOfIndividuals_WhenTheDifference_ItShouldReturnAnIndividualWithEachDimensionBeingTheDifferenceBetweenTheSameDimensionInAllTheIndividualsInTheList()
{
Individual individual = new Individual(null, new Configuration())
{
Position = new double[] { 1.0, 2.0, 4.0 }
};
Individual individual2 = new Individual(null, new Configuration())
{
Position = new double[] { 3.0, 3.0, 3.0 }
};
Individual individual3 = new Individual(null, new Configuration())
{
Position = new double[] { 4.0, 5.0, 6.0 }
};
TrialIndividualMutationStrategy generator = new TrialIndividualMutationStrategy(new Configuration());
Individual result = generator.GetDifference(new List <Individual>()
{
individual, individual2, individual3
});
Assert.AreEqual(result.Position[0], -6);
Assert.AreEqual(result.Position[1], -6);
Assert.AreEqual(result.Position[2], -5);
}
public void GivenThreeIndividuals_WhenTheTrialIndividualIsGenerated_ItShouldReturnTheTargetIndividualAddedToTheScaledDifferenceOfTheOtherIndividuals()
{
Individual target = new Individual(null, new Configuration())
{
Position = new double[] { 1.0, 2.0, 3.0 }
};
Individual individual1 = new Individual(null, new Configuration())
{
Position = new double[] { 9.0, 11.0, 11.0 }
};
Individual individual2 = new Individual(null, new Configuration())
{
Position = new double[] { 6.0, 7.0, 8.0 }
};
TrialIndividualMutationStrategy generator = new TrialIndividualMutationStrategy(new Configuration());
Individual result = generator.GetTrialVector(target, new List <Individual>()
{
individual1, individual2
});
Assert.AreEqual(result.Position[0], 2.5);
Assert.AreEqual(result.Position[1], 4.0);
Assert.AreEqual(result.Position[2], 4.5);
}
static void Main(string[] args)
{
IConfiguration configuration = new Configuration();
IMutationStrategy trialVectorMutationStrategy = new TrialIndividualMutationStrategy(configuration);
ICrossoverStrategy crossoverStrategy = new BinomialCrossoverStrategy(configuration);
ISelectionStrategy generationSelectionStrategy = new MinimisationElitistSelectionStrategy();
ISelectionStrategy differenceVectorSelectionStrategy = new RandomSelectionStrategy();
IFitnessEvaluationStrategy fitnessEvaluationStrategy = new RastriginFitnessEvaluationStrategy();
DifferentialEvolution differentialEvolution = new DifferentialEvolution(
trialVectorMutationStrategy,
crossoverStrategy,
generationSelectionStrategy,
differenceVectorSelectionStrategy,
fitnessEvaluationStrategy,
configuration
);
differentialEvolution.Run();
var population = differentialEvolution.population;
foreach (Individual individual in population)
{
foreach (double dimension in individual.Position)
{
Console.Write(Math.Round(dimension) + ", ");
}
Console.WriteLine();
}
Console.Read();
}
public void GivenAnIndividual_WhenTheIndividualIsScaled_ItShouldReturnAnIndividualWithEachDimensionScaled()
{
Individual individual = new Individual(null, new Configuration())
{
Position = new double[] { 1.0, 2.0, 4.0 }
};
TrialIndividualMutationStrategy generator = new TrialIndividualMutationStrategy(new Configuration());
Individual result = generator.Scale(individual, 0.5);
Assert.AreEqual(result.Position[0], 0.5);
Assert.AreEqual(result.Position[1], 1.0);
Assert.AreEqual(result.Position[2], 2.0);
}
