Esempio n. 1
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 // sequence is a list of <job,mac,starttime>
 public int[,] Optimize(string name, out int optMakespan, out bool success,
     out int simplexIterations, int tmlim_min, List<Schedule.Dispatch> constraints = null)
 {
     GurobiJspModel model = new GurobiJspModel(this, name, tmlim_min);
     var xTimeJob = constraints != null
         ? model.Lookahead(constraints, out optMakespan)
         : model.Optimise(out optMakespan);
     simplexIterations = model.SimplexIterations;
     success = model.Status == GRB.Status.OPTIMAL;
     model.Dispose();
     return xTimeJob;
 }
Esempio n. 2
0
        internal string CollectAndLabel(int pid)
        {
            string name = GetName(pid);
            DataRow instance = Data.Rows.Find(name);
            ProblemInstance prob = (ProblemInstance) instance["Problem"];

            GurobiJspModel gurobiModel = new GurobiJspModel(prob, name, TMLIM_STEP);

            Schedule jssp = new Schedule(prob);
            int currentNumFeatures = 0;
            for (int step = 0; step < prob.Dimension; step++)
            {
                Preferences[pid - 1, step] = FindFeaturesForAllJobs(jssp, gurobiModel);
                int dispatchedJob = _trajectory(jssp, Preferences[pid - 1, step]);
                jssp.Dispatch1(dispatchedJob);
                gurobiModel.CommitConstraint(jssp.Sequence[step], step);
                Preferences[pid - 1, step].Find(x => x.Dispatch.Job == dispatchedJob).Followed = true;
                currentNumFeatures += Preferences[pid - 1, step].Count;
            }
            NumFeatures += currentNumFeatures;
            gurobiModel.Dispose();
            RankPreferences(pid);
            return String.Format("{0}:{1} #{2} phi", FileInfo.Name, pid, currentNumFeatures);
        }