public void SmacOptimizer_OptimizeBest_MultipleParameters()
{
var parameters = new MinMaxParameterSpec[]
{
new MinMaxParameterSpec(-10.0, 10.0, Transform.Linear),
new MinMaxParameterSpec(-10.0, 10.0, Transform.Linear),
new MinMaxParameterSpec(-10.0, 10.0, Transform.Linear),
};
var sut = new SmacOptimizer(parameters,
iterations: 80,
randomStartingPointCount: 20,
functionEvaluationsPerIterationCount: 1,
localSearchPointCount: 10,
randomSearchPointCount: 1000,
epsilon: 0.00001,
seed: 42);
var actual = sut.OptimizeBest(Minimize);
Assert.AreEqual(-0.964878416222769, actual.Error, Delta);
Assert.AreEqual(actual.ParameterSet.Length, 3);
Assert.AreEqual(-7.8487638560350819, actual.ParameterSet[0], Delta);
Assert.AreEqual(6.2840940040927826, actual.ParameterSet[1], Delta);
Assert.AreEqual(0.036385473812179825, actual.ParameterSet[2], Delta);
}
public void SmacOptimizer_OptimizeBest_SingleParameter()
{
var parameters = new MinMaxParameterSpec[]
{
new MinMaxParameterSpec(0.0, 100.0, Transform.Linear)
};
var sut = new SmacOptimizer(parameters,
iterations: 80,
randomStartingPointCount: 20,
functionEvaluationsPerIterationCount: 1,
localSearchPointCount: 10,
randomSearchPointCount: 1000,
epsilon: 0.00001,
seed: 42);
var actual = sut.OptimizeBest(MinimizeWeightFromHeight);
Assert.AreEqual(109.616853578648, actual.Error, Delta);
Assert.AreEqual(37.6315924979893, actual.ParameterSet.Single(), Delta);
}