public void GeneticAlgorithmConstructorTest1()
{
EvaluationIF e = new DoubleEvaluation_Trigonometric();
GeneticAlgorithm target = new GeneticAlgorithm(e);
Assert.IsNotNull(target.Operations);
Assert.IsNotNull(target.Initialization);
Assert.IsNotNull(target.Evaluation);
}
public void SetPointValueTest()
{
DoubleEvaluation_Trigonometric target = new DoubleEvaluation_Trigonometric(); // TODO: Initialize to an appropriate value
Point p = new DoublePoint(5);
Point actual;
actual = target.SetPointValue(p);
double x = actual.Value - 1.6093609892947054;
Assert.IsTrue(Math.Abs(x) < 0.0001);
}
public void GeneticAlgorithmConstructorTest()
{
List <Operator> operators = new List <Operator>();
SelectionIF S = new Selection_PercentAboveAverage(50);
CrossoverIF C2 = new DoubleCrossover_Random();
MutationIF M = new DoubleMutation_ValuePercent(5.0);
operators.Add(S);
operators.Add(C2);
operators.Add(M);
double[] p1 = { 0.0, 0.0 };
double[] p2 = { 5.0, 5.0 };
InitializationIF initialization = new DoubleInitialization_RandomBetweenTwoPoints(
new DoublePoint(p1), new DoublePoint(p2), 10);
EvaluationIF evaluation = new DoubleEvaluation_Trigonometric();
GeneticAlgorithm target = new GeneticAlgorithm(operators, initialization, evaluation);
Assert.IsNotNull(target.Operations);
Assert.IsNotNull(target.Initialization);
Assert.IsNotNull(target.Evaluation);
}
public void DoubleEvaluation_TrigonometricConstructorTest()
{
DoubleEvaluation_Trigonometric target = new DoubleEvaluation_Trigonometric();
Assert.AreEqual(target.Type, OperatorType.Double);
}
