public void Load(JSSPData data)
{
var jobData = new ItemList <Job>(data.Jobs);
for (int j = 0; j < data.Jobs; j++)
{
var job = new Job(j, data.DueDates != null ? data.DueDates[j] : double.MaxValue);
for (int t = 0; t < data.Resources; t++)
{
job.Tasks.Add(new Task(t, data.Demands[j, t], j, data.ProcessingTimes[j, t]));
}
jobData.Add(job);
}
BestKnownQuality = data.BestKnownQuality.HasValue ? new DoubleValue(data.BestKnownQuality.Value) : null;
if (data.BestKnownSchedule != null)
{
var enc = new JSMEncoding();
enc.JobSequenceMatrix = new ItemList <Permutation>(data.Resources);
for (int i = 0; i < data.Resources; i++)
{
enc.JobSequenceMatrix[i] = new Permutation(PermutationTypes.Absolute, new int[data.Jobs]);
for (int j = 0; j < data.Jobs; j++)
{
enc.JobSequenceMatrix[i][j] = data.BestKnownSchedule[i, j];
}
}
BestKnownSolution = new JSMDecoder().CreateScheduleFromEncoding(enc, jobData);
if (ScheduleEvaluator is MeanTardinessEvaluator)
{
BestKnownQuality = new DoubleValue(MeanTardinessEvaluator.GetMeanTardiness(BestKnownSolution, jobData));
}
else if (ScheduleEvaluator is MakespanEvaluator)
{
BestKnownQuality = new DoubleValue(MakespanEvaluator.GetMakespan(BestKnownSolution));
}
}
Name = data.Name;
Description = data.Description;
JobData = jobData;
Jobs = data.Jobs;
Resources = data.Resources;
}
protected MeanTardinessEvaluator(MeanTardinessEvaluator original, Cloner cloner) : base(original, cloner) { }
protected MeanTardinessEvaluator(MeanTardinessEvaluator original, Cloner cloner) : base(original, cloner)
{
}