// min of all vars.
public static IntExpr Max(this IntVar[] vars)
{
Solver solver = GetSolver(vars);
return(solver.MakeMax(vars));
}
static void Main(string[] args)
{
InitTaskList();
int taskCount = GetTaskCount();
Solver solver = new Solver("ResourceConstraintScheduling");
IntervalVar[] tasks = new IntervalVar[taskCount];
IntVar[] taskChoosed = new IntVar[taskCount];
IntVar[] makeSpan = new IntVar[GetEndTaskCount()];
int endJobCounter = 0;
foreach (Job j in myJobList) {
IntVar[] tmp = new IntVar[j.AlternativeTasks.Count];
int i = 0;
foreach (Task t in j.AlternativeTasks) {
long ti = taskIndexes[t.Name];
taskChoosed[ti] = solver.MakeIntVar(0, 1, t.Name + "_choose");
tmp[i++] = taskChoosed[ti];
tasks[ti] = solver.MakeFixedDurationIntervalVar(
0, 100000, t.Duration, false, t.Name + "_interval");
if (j.Successor == null)
makeSpan[endJobCounter++] = tasks[ti].EndExpr().Var();
if (!tasksToEquipment.ContainsKey(t.Equipment))
tasksToEquipment[t.Equipment] = new List<IntervalVar>();
tasksToEquipment[t.Equipment].Add(tasks[ti]);
}
solver.Add(IntVarArrayHelper.Sum(tmp) == 1);
}
List<SequenceVar> all_seq = new List<SequenceVar>();
foreach (KeyValuePair<long, List<IntervalVar>> pair in tasksToEquipment) {
DisjunctiveConstraint dc = solver.MakeDisjunctiveConstraint(
pair.Value.ToArray(), pair.Key.ToString());
solver.Add(dc);
all_seq.Add(dc.SequenceVar());
}
IntVar objective_var = solver.MakeMax(makeSpan).Var();
OptimizeVar objective_monitor = solver.MakeMinimize(objective_var, 1);
DecisionBuilder sequence_phase =
solver.MakePhase(all_seq.ToArray(), Solver.SEQUENCE_DEFAULT);
DecisionBuilder objective_phase =
solver.MakePhase(objective_var, Solver.CHOOSE_FIRST_UNBOUND,
Solver.ASSIGN_MIN_VALUE);
DecisionBuilder main_phase = solver.Compose(sequence_phase, objective_phase);
const int kLogFrequency = 1000000;
SearchMonitor search_log =
solver.MakeSearchLog(kLogFrequency, objective_monitor);
SolutionCollector collector = solver.MakeLastSolutionCollector();
collector.Add(all_seq.ToArray());
collector.AddObjective(objective_var);
if (solver.Solve(main_phase, search_log, objective_monitor, null, collector))
Console.Out.WriteLine("Optimal solution = " + collector.ObjectiveValue(0));
else
Console.Out.WriteLine("No solution.");
}
static void Main(string[] args)
{
Program obj = new Program();
obj.Readfile(@"C:\binpackdata.txt");
obj.nbCourses = obj.credits.Length;
Solver solver = new Solver("BinPacking");
IntVar[] x = new IntVar[obj.nbCourses];
IntVar[] loadVars = new IntVar[obj.nbPeriods];
for (int i = 0; i < obj.nbCourses; i++)
x[i] = solver.MakeIntVar(0, obj.nbPeriods - 1, "x" + i);
for (int i = 0; i < obj.nbPeriods; i++)
loadVars[i] = solver.MakeIntVar(0, obj.credits.Sum(), "loadVars" + i);
//-------------------post of the constraints--------------
obj.Pack(solver, x, obj.credits, loadVars);
foreach (Tuple<int, int> t in obj.prereqTupleArr)
solver.Add(x[t.Item1] < x[t.Item2]);
//-------------------------Objective---------------------------
IntVar objectiveVar = solver.MakeMax(loadVars).Var();
OptimizeVar objective = solver.MakeMinimize(objectiveVar, 1);
//------------start the search and optimization-----------
DecisionBuilder db = solver.MakePhase(x, Solver.CHOOSE_MIN_SIZE_LOWEST_MIN, Solver.INT_VALUE_DEFAULT);
SearchMonitor searchLog = solver.MakeSearchLog(100000, objectiveVar);
solver.NewSearch(db, objective, searchLog);
while (solver.NextSolution())
{
Console.WriteLine(">> Objective: " + objectiveVar.Value());
}
solver.EndSearch();
}