public void InvalidCoefficients_ThrowError(double r, double e, double c, double s, bool errorExpected)
{
var hyps = NelderMeadHyperParameters.GetDefaultHyperParameters();
var numUpdates = 0;
numUpdates +=
hyps.UpdateHyperParameterValue(NelderMeadHyperParameters.Reflection_Coefficient, r)
? 1 : 0;
numUpdates +=
hyps.UpdateHyperParameterValue(NelderMeadHyperParameters.Expansion_Coefficient, e)
? 1 : 0;
numUpdates +=
hyps.UpdateHyperParameterValue(NelderMeadHyperParameters.Contraction_Coefficient, c)
? 1 : 0;
numUpdates +=
hyps.UpdateHyperParameterValue(NelderMeadHyperParameters.Shrinkage_Coefficient, s)
? 1 : 0;
if (errorExpected)
{
if (numUpdates == 4)
{
Assert.Throws <ArgumentOutOfRangeException>(() =>
new NelderMeadSimplexOperationsManager(hyps));
}
}
else
{
Assert.Equal(4, numUpdates);
new NelderMeadSimplexOperationsManager(hyps);
}
}
public static OptimiserBuilder GetBuilder(
DecisionSpace problemSpace,
double?simplexCreationStepSize = null)
{
var hyps = NelderMeadHyperParameters.GetDefaultHyperParameters();
if (simplexCreationStepSize != null)
{
hyps.UpdateHyperParameterValue(
NelderMeadHyperParameters.Simplex_Creation_Step_Size,
simplexCreationStepSize);
}
return(new NelderMeadBuilder(problemSpace, hyps));
}
public NelderMeadTests()
{
var hyps = NelderMeadHyperParameters.GetDefaultHyperParameters();
hyps.UpdateHyperParameterValue(
NelderMeadHyperParameters.Simplex_Creation_Step_Size, Step_Size);
var fitnessCalc = new FitnessCalculatorSingleObjective(
v => v.ElementAt(0),
v => 1000.0);
optimiser = new NelderMead(
fitnessCalc,
DecisionVector.CreateFromArray(
DecisionSpace.CreateForUniformDoubleArray(Number_Of_Dimensions, double.MinValue, double.MaxValue),
Enumerable.Repeat(0.0, Number_Of_Dimensions)),
hyps);
}
