public void TestInterval()
{
Console.WriteLine("TestInterval test");
CpModel model = new CpModel();
IntVar v = model.NewIntVar(-10, 10, "v");
IntervalVar i = model.NewFixedSizeIntervalVar(v, 3, "i");
Assert.Equal("v", i.StartExpr().ShortString());
Assert.Equal("3", i.SizeExpr().ShortString());
Assert.Equal("(v + 3)", i.EndExpr().ShortString());
}
public void RunJobShopScheduling(String solverType)
{
Solver solver = new Solver(solverType);
if (solver == null)
{
Console.WriteLine("JobShop failed to create a solver " + solverType);
return;
}
// All tasks
Dictionary <string, IntervalVar> allTasks = new Dictionary <string, IntervalVar>();
// Creates jobs
for (int i = 0; i < allJobs.Count; i++)
{
for (int j = 0; j < machines.ElementAt(i).Count; j++)
{
IntervalVar oneTask = solver.MakeFixedDurationIntervalVar(0,
horizon,
processingTimes.ElementAt(i).ElementAt(j),
false,
"Job_" + i + "_" + j);
//Console.WriteLine("Job_" + i + "_" + j);
allTasks.Add("Job_" + i + "_" + j, oneTask);
}
}
// Create sequence variables and add disjuctive constraints
List <SequenceVar> allSequences = new List <SequenceVar>();
foreach (var machine in allMachines)
{
List <IntervalVar> machinesJobs = new List <IntervalVar>();
for (int i = 0; i < allJobs.Count; i++)
{
for (int k = 0; k < machines.ElementAt(i).Count; k++)
{
if (machines.ElementAt(i).ElementAt(k) == machine)
{
machinesJobs.Add(allTasks["Job_" + i + "_" + k]);
}
}
}
DisjunctiveConstraint disj = solver.MakeDisjunctiveConstraint(machinesJobs.ToArray(),
"machine " + machine);
allSequences.Add(disj.SequenceVar());
solver.Add(disj);
}
// Add conjunctive constraints
foreach (var job in allJobs)
{
for (int j = 0; j < machines.ElementAt(job).Count - 1; j++)
{
solver.Add(allTasks["Job_" + job + "_" + (j + 1)].StartsAfterEnd(allTasks["Job_" + job + "_" + j]));
}
}
// Set the objective
IntVar[] allEnds = new IntVar[jobsCount];
for (int i = 0; i < allJobs.Count; i++)
{
allEnds[i] = allTasks["Job_" + i + "_" + (machines.ElementAt(i).Count - 1)].EndExpr().Var();
}
// Objective: minimize the makespan (maximum end times of all tasks)
// of the problem.
IntVar objectiveVar = solver.MakeMax(allEnds).Var();
OptimizeVar objectiveMonitor = solver.MakeMinimize(objectiveVar, 1);
// Create search phases
DecisionBuilder sequencePhase = solver.MakePhase(allSequences.ToArray(), Solver.SEQUENCE_DEFAULT);
DecisionBuilder varsPhase = solver.MakePhase(objectiveVar, Solver.CHOOSE_FIRST_UNBOUND, Solver.ASSIGN_MIN_VALUE);
// The main decision builder (ranks all tasks, then fixes the
// objectiveVariable).
DecisionBuilder mainPhase = solver.Compose(sequencePhase, varsPhase);
SolutionCollector collector = solver.MakeLastSolutionCollector();
collector.Add(allSequences.ToArray());
collector.Add(objectiveVar);
foreach (var i in allMachines)
{
SequenceVar sequence = allSequences.ElementAt(i);
long sequenceCount = sequence.Size();
for (int j = 0; j < sequenceCount; j++)
{
IntervalVar t = sequence.Interval(j);
collector.Add(t.StartExpr().Var());
collector.Add(t.EndExpr().Var());
}
}
// Search.
bool solutionFound = solver.Solve(mainPhase, null, objectiveMonitor, null, collector);
if (solutionFound)
{
//The index of the solution from the collector
const int SOLUTION_INDEX = 0;
Assignment solution = collector.Solution(SOLUTION_INDEX);
string solLine = "";
string solLineTasks = "";
Console.WriteLine("Time Intervals for Tasks\n");
List <List <TimeSpan> > tuplesSolution = new List <List <TimeSpan> >();
for (int m = 0; m < this.machinesCount; m++)
{
//Console.WriteLine("MachineCount: " + this.machinesCount);
solLine = "Machine " + m + " :";
solLineTasks = "Machine " + m + ": ";
SequenceVar seq = allSequences.ElementAt(m);
int[] storedSequence = collector.ForwardSequence(SOLUTION_INDEX, seq);
foreach (int taskIndex in storedSequence)
{
//Console.WriteLine("taskIndex: " + taskIndex);
IntervalVar task = seq.Interval(taskIndex);
solLineTasks += task.Name() + " ";
//Console.WriteLine("Len: " + storedSequence.Length);
}
// First GreenTime
//TimeSpan timeToAdd = tuplesSolution.First().Last();
TimeSpan timeEndBucket = this.bucketInfo.EndBucket;
TimeSpan timeStartBucket = this.bucketInfo.StartBucket;
int solutionSize = tuplesSolution.Count;
bool isEnd = false;
List <int> list_id = jobIds.ElementAt(m);
// Adding GreenTime to Solution
while (timeStartBucket.CompareTo(timeEndBucket) < 0)
{
foreach (int taskIndex in storedSequence)
{
IntervalVar task = seq.Interval(taskIndex);
var startValue = TimeSpan.FromSeconds(collector.Value(0, task.StartExpr().Var()));
var endValue = TimeSpan.FromSeconds(collector.Value(0, task.EndExpr().Var()));
TimeSpan greenTime = endValue.Subtract(startValue);
TimeSpan timeEnd;
timeEnd = timeStartBucket.Add(greenTime);
List <TimeSpan> tuple = new List <TimeSpan>();
tuple.Add(timeStartBucket);
if (timeEndBucket.CompareTo(timeEnd) < 0)
{
timeEnd = timeEndBucket;
isEnd = true;
}
tuple.Add(timeEnd);
tuplesSolution.Add(tuple);
if (taskIndex + 1 < list_id.Count() && list_id.ElementAt(taskIndex) == list_id.ElementAt(taskIndex + 1))
{
timeStartBucket = timeStartBucket.Add(TimeSpan.FromSeconds(this.cycleTime));
}
else
{
timeStartBucket = timeEnd;
}
if (isEnd)
{
break;
}
}
}
//
// Saving the Solution to a XML file
//
JobShop.save(m, tuplesSolution);
//solLine += "\n";
//solLineTasks += "\n";
//Console.WriteLine(solLineTasks);
//Console.WriteLine(solLine);
}
}
else
{
Console.WriteLine("No solution found!");
}
}
public void RunJobShopScheduling(String solverType)
{
Solver solver = new Solver(solverType);
if (solver == null)
{
Console.WriteLine("JobShop failed to create a solver " + solverType);
return;
}
// All tasks
Dictionary <string, IntervalVar> allTasks = new Dictionary <string, IntervalVar>();
// Creates jobs
for (int i = 0; i < allJobs.Count; i++)
{
for (int j = 0; j < machines.ElementAt(i).Count; j++)
{
IntervalVar oneTask = solver.MakeFixedDurationIntervalVar(0,
horizon,
processingTimes.ElementAt(i).ElementAt(j),
false,
"Job_" + i + "_" + j);
allTasks.Add("Job_" + i + "_" + j, oneTask);
}
}
// Create sequence variables and add disjuctive constraints
List <SequenceVar> allSequences = new List <SequenceVar>();
foreach (var machine in allMachines)
{
List <IntervalVar> machinesJobs = new List <IntervalVar>();
for (int i = 0; i < allJobs.Count; i++)
{
for (int k = 0; k < machines.ElementAt(i).Count; k++)
{
if (machines.ElementAt(i).ElementAt(k) == machine)
{
machinesJobs.Add(allTasks["Job_" + i + "_" + k]);
}
}
}
DisjunctiveConstraint disj = solver.MakeDisjunctiveConstraint(machinesJobs.ToArray(),
"machine " + machine);
allSequences.Add(disj.SequenceVar());
solver.Add(disj);
}
// Add conjunctive constraints
foreach (var job in allJobs)
{
for (int j = 0; j < machines.ElementAt(job).Count - 1; j++)
{
solver.Add(allTasks["Job_" + job + "_" + (j + 1)].StartsAfterEnd(allTasks["Job_" + job + "_" + j]));
}
}
// Set the objective
IntVar[] allEnds = new IntVar[jobsCount];
for (int i = 0; i < allJobs.Count; i++)
{
allEnds[i] = allTasks["Job_" + i + "_" + (machines.ElementAt(i).Count - 1)].EndExpr().Var();
}
// Objective: minimize the makespan (maximum end times of all tasks)
// of the problem.
IntVar objectiveVar = solver.MakeMax(allEnds).Var();
OptimizeVar objectiveMonitor = solver.MakeMinimize(objectiveVar, 1);
// Create search phases
DecisionBuilder sequencePhase = solver.MakePhase(allSequences.ToArray(), Solver.SEQUENCE_DEFAULT);
DecisionBuilder varsPhase = solver.MakePhase(objectiveVar, Solver.CHOOSE_FIRST_UNBOUND, Solver.ASSIGN_MIN_VALUE);
// The main decision builder (ranks all tasks, then fixes the
// objectiveVariable).
DecisionBuilder mainPhase = solver.Compose(sequencePhase, varsPhase);
SolutionCollector collector = solver.MakeLastSolutionCollector();
collector.Add(allSequences.ToArray());
collector.Add(objectiveVar);
foreach (var i in allMachines)
{
SequenceVar sequence = allSequences.ElementAt(i);
long sequenceCount = sequence.Size();
for (int j = 0; j < sequenceCount; j++)
{
IntervalVar t = sequence.Interval(j);
collector.Add(t.StartExpr().Var());
collector.Add(t.EndExpr().Var());
}
}
// Search.
bool solutionFound = solver.Solve(mainPhase, null, objectiveMonitor, null, collector);
if (solutionFound)
{
//The index of the solution from the collector
const int SOLUTION_INDEX = 0;
Assignment solution = collector.Solution(SOLUTION_INDEX);
string solLine = "";
string solLineTasks = "";
Console.WriteLine("Time Intervals for Tasks\n");
for (int m = 0; m < this.machinesCount; m++)
{
//Console.WriteLine("MachineCount: " + this.machinesCount);
solLine = "Machine " + m + " :";
solLineTasks = "Machine " + m + ": ";
SequenceVar seq = allSequences.ElementAt(m);
int[] storedSequence = collector.ForwardSequence(SOLUTION_INDEX, seq);
foreach (int taskIndex in storedSequence)
{
//Console.WriteLine("taskIndex: " + taskIndex);
IntervalVar task = seq.Interval(taskIndex);
solLineTasks += task.Name() + " ";
//Console.WriteLine("Len: " + storedSequence.Length);
}
foreach (int taskIndex in storedSequence)
{
IntervalVar task = seq.Interval(taskIndex);
string solTemp = "[" + collector.Value(0, task.StartExpr().Var()) + ",";
solTemp += collector.Value(0, task.EndExpr().Var()) + "] ";
solLine += solTemp;
}
//solLine += "\n";
solLineTasks += "\n";
//Console.WriteLine(solLineTasks);
Console.WriteLine(solLine);
}
}
else
{
Console.WriteLine("No solution found!");
}
}