public void Individual_Equals_Test()
{
TaskSchedulingProblem Gauss18 = new TaskSchedulingProblem(TaskSchedulingInstanceDescription.Gauss18(2));
TaskSchedulingSolution thisObj = new TaskSchedulingSolution(
Gauss18,
new int[2, 18] {
{0, 5, 1, 2, 6, 10, 7, 3, 8, 11, 12, 4, 9, 13, 15, 16, 14, 17},
{1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1}
}
);
TaskSchedulingSolution thisObjAgain = new TaskSchedulingSolution(
Gauss18,
new int[2, 18] {
{0, 5, 1, 2, 6, 10, 7, 3, 8, 11, 12, 4, 9, 13, 15, 16, 14, 17},
{1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1}
}
);
TaskSchedulingSolution thatObj = new TaskSchedulingSolution(
Gauss18,
new int[2, 18] {
{0, 5, 1, 2, 6, 10, 7, 3, 8, 11, 12, 4, 9, 13, 15, 16, 14, 18},
{1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1}
}
);
Assert.AreEqual(thisObj, thisObjAgain);
Assert.AreNotEqual(thisObj, thatObj);
}
public TaskSchedulingSolution(ProblemBase problem) : base(problem)
{
TaskSchedulingProblem schedulingProblem = (Problem as TaskSchedulingProblem);
this.GeneticMaterial = new int[2, schedulingProblem.TaskCount];
IEnumerable <int> randomTaskPermutation = Aleatoriety.GetRandomIntegerSequencePermutation(0, schedulingProblem.TaskCount);
int idx = 0;
foreach (int task in randomTaskPermutation)
{
this.GeneticMaterial[0, idx] = task;
this.GeneticMaterial[1, idx] = Aleatoriety.GetRandomInt(schedulingProblem.ProcessorCount);
++idx;
}
}
public void StaticProblem_EvaluateIndividual_Test()
{
TaskSchedulingProblem Gauss18 = new TaskSchedulingProblem(TaskSchedulingInstanceDescription.Gauss18(2));
TaskSchedulingSolution solution = new TaskSchedulingSolution(
Gauss18,
new int[2, 18] {
{0, 5, 1, 2, 6, 10, 7, 3, 8, 11, 12, 4, 9, 13, 15, 16, 14, 17},
{1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1}
}
);
Gauss18.ValidateIndividual(solution);
Gauss18.EvaluateIndividual(solution);
Assert.AreEqual(44.0, solution.MakeSpan);
Assert.AreEqual(691.2, solution.SpentPower);
solution = new TaskSchedulingSolution(
Gauss18,
new int[2, 18] {
{8, 5, 1, 2, 6, 10, 7, 3, 0, 11, 12, 4, 9, 13, 15, 16, 14, 17},
{1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1}
}
);
Gauss18.ValidateIndividual(solution);
Gauss18.EvaluateIndividual(solution);
Assert.AreEqual(48.0, solution.MakeSpan);
Assert.AreEqual(691.2, solution.SpentPower);
TaskSchedulingSolution solutionWithDeadLock = new TaskSchedulingSolution(
Gauss18,
new int[2, 18] {
{1, 10, 7, 8, 12, 0, 2, 6, 3, 11, 5, 4, 9, 13, 15, 16, 14, 17},
{0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1}
}
);
Gauss18.ValidateIndividual(solutionWithDeadLock);
Gauss18.EvaluateIndividual(solutionWithDeadLock);
}
public TaskSchedulingSolution(ProblemBase problem, int[,] geneticMaterial) : base(problem)
{
TaskSchedulingProblem schedulingProblem = (Problem as TaskSchedulingProblem);
this.GeneticMaterial = geneticMaterial;
}
