public void TestConstrainedFeasibleRegion()
{
// Test that the parameter set does not deal with its constraints,
// because the URS should, to try to preserve uniformity of sampling with varying bounds.
var p = new TwoParamsConstraints();
Assert.IsTrue(p.IsWithinBounds);
var names = p.GetVariableNames();
Assert.AreEqual(5, p.GetValue(names[1]));
Assert.AreEqual(5, p.GetMaxValue(names[1]));
p.SetValue(names[1], 10);
Assert.IsFalse(p.IsWithinBounds);
Assert.AreEqual(10, p.GetValue(names[1]));
var rng = new BasicRngFactory(0);
var urs = new UniformRandomSamplingFactory <TwoParamsConstraints>(rng.CreateFactory(), new TwoParamsConstraints());
int n = 200;
var pop = new TwoParamsConstraints[n];
for (int i = 0; i < n; i++)
{
pop[i] = urs.CreateRandomCandidate();
Assert.IsTrue(pop[i].IsWithinBounds);
}
var hcOps = urs.CreateNew(rng.CreateFactory());
var hcArray = Array.ConvertAll(pop, x => (IHyperCube <double>)x);
for (int i = 0; i < n; i++)
{
p = (TwoParamsConstraints)hcOps.GenerateRandomWithinHypercube(hcArray);
Assert.IsTrue(p.IsWithinBounds);
}
}
private static ShuffledComplexEvolution <TestHyperCube> createSce(ShuffledComplexEvolution <TestHyperCube> .CoefficientOfVariationTerminationCondition termination, BasicRngFactory rng, ObjEvalTestHyperCube evaluator, int maxShuffle = 15)
{
var engine = new ShuffledComplexEvolution <TestHyperCube>(
evaluator,
new UniformRandomSamplingFactory <TestHyperCube>(rng.CreateFactory(), new TestHyperCube(2, 0, -10, 10)),
termination,
5, 20, 10, 3, 20, maxShuffle,
rng,
new DefaultFitnessAssignment());
return(engine);
}
private static ShuffledComplexEvolution <ICloneableSystemConfiguration> createSce(IClonableObjectiveEvaluator <ICloneableSystemConfiguration> evaluator)
{
var rng = new BasicRngFactory(0);
var engine = new ShuffledComplexEvolution <ICloneableSystemConfiguration>(
evaluator,
new UniformRandomSamplingFactory <IHyperCube <double> >(rng.CreateFactory(), new UnivariateReal(0)),
new ShuffledComplexEvolution <ICloneableSystemConfiguration> .MaxShuffleTerminationCondition(),
5, 20, 10, 3, 20, 7,
rng,
new ZitlerThieleFitnessAssignment());
return(engine);
}
