static void Solve(List <List <int> > machines, List <List <int> > processingTimes, List <List <int> > jobIds, GPXPoint bucketInfo, int cycleTime)
{
Console.WriteLine("\n---- Job shop Scheduling Program ----");
JobShop jobShop = new JobShop(machines, processingTimes, jobIds, bucketInfo, cycleTime);
jobShop.RunJobShopScheduling("Jobshop");
}
public static void Main(String[] args)
{
Console.WriteLine("\n---- Job shop Scheduling Program ----");
JobShop jobShop = new JobShop();
jobShop.RunJobShopScheduling("Jobshop");
}
private async Task <Job> PostOrderToJob(OrderModel model, string adminUserId = null)
{
UserModel userModel = new UserModel(await accountManager.FindByIdAsync(model.UserId));
UserModel adminUserModel = null;
Vendor vendor = default(Vendor);
if (!string.IsNullOrWhiteSpace(model.VendorId))
{
vendor = await vendorService.Get(model.VendorId);
}
if (!string.IsNullOrWhiteSpace(adminUserId))
{
adminUserModel = new UserModel(await accountManager.FindByIdAsync(adminUserId));
}
JobShop jobShop = new JobShop();
JobBuilder builder;
switch (model.Type)
{
case OrderTypes.ClassifiedDelivery:
{
ClassifiedDeliveryOrder classifiedDeliveryOrderModel = model as ClassifiedDeliveryOrder;
if (!string.IsNullOrWhiteSpace(classifiedDeliveryOrderModel.BuyerInfo?.UserRef))
{
var user = await accountManager.FindByIdAsync(classifiedDeliveryOrderModel.BuyerInfo.UserRef);
classifiedDeliveryOrderModel.BuyerInfo.PhoneNumber = user.PhoneNumber;
classifiedDeliveryOrderModel.BuyerInfo.Address = user.Profile.Address;
classifiedDeliveryOrderModel.BuyerInfo.Name = GetNameFromProfile(user);
}
if (!string.IsNullOrWhiteSpace(classifiedDeliveryOrderModel.SellerInfo?.UserRef))
{
var user = await accountManager.FindByIdAsync(classifiedDeliveryOrderModel.SellerInfo.UserRef);
classifiedDeliveryOrderModel.SellerInfo.PhoneNumber = user.PhoneNumber;
classifiedDeliveryOrderModel.SellerInfo.Address = user.Profile.Address;
classifiedDeliveryOrderModel.SellerInfo.Name = GetNameFromProfile(user);
}
builder = GetDeliveryJobBuilder(userModel, adminUserModel, classifiedDeliveryOrderModel, vendor);
break;
}
case OrderTypes.Delivery:
{
DeliveryOrder deliveryOrderModel = model as DeliveryOrder;
builder = GetDeliveryJobBuilder(userModel, adminUserModel, deliveryOrderModel, vendor);
break;
}
default:
throw new InvalidOperationException("Invalid/Not supported Order Type Provided");
}
var result = await ConstructAndRegister(jobShop, builder);
this.jobSearchIndexService.OnNext(result);
return(result);
}
private async Task <Job> ConstructAndRegister(JobShop jobShop, JobBuilder builder)
{
var createdJob = jobShop.Construct(builder);
var result = await manager.RegisterJob(createdJob);
return(result);
}
private static JobShop GenerateJobShop()
{
var generator = new JobShopGenerator();
JobShop jobShop = generator.Generate(Global.Config.OperationCounts, Global.Config.MachinesCount);
return(jobShop);
}
/// <summary>
/// Creates instance of <see cref="JobShopGeneticAlgorithm"/> from parameters.
/// </summary>
/// <param name="jobShop">Input.</param>
/// <param name="iterationsCount">How many times will the GA be run repeatedly.</param>
/// <param name="logger">Logger.</param>
/// <param name="adaptive">True, if the algorithm should be adaptive.</param>
/// <exception cref="ArgumentException"></exception>
public JobShopGeneticAlgorithm(JobShop jobShop, int iterationsCount, ILogger logger, bool adaptive = true)
{
if (iterationsCount < 1)
{
throw new ArgumentException();
}
this.jobShop = jobShop;
this.iterationsCount = iterationsCount;
this.logger = logger;
this.adaptive = adaptive;
}
private ScheduleChromosome(JobShop jobShop, bool generateNew) : base(jobShop.MachinesCount)
{
this.JobShop = jobShop;
if (generateNew)
{
// initialize genes
for (int i = 0; i < jobShop.MachinesCount; i++)
{
var machineChromosome = new MachineChromosome(jobShop.MachineOperations[i]
.AsShuffledEnumerable()
.ToArray());
ReplaceGene(i, new Gene(machineChromosome));
}
}
}
public void SetUp()
{
jobShop = new JobShopLoader().Load("TestExamples/test1.in", false);
chromosome = new ScheduleChromosome(jobShop);
var machineChromosome1 = new MachineChromosome(new int[]
{
4, 5, 0, 2
}.Select(x => jobShop.Operations[x]).ToArray());
chromosome.ReplaceGene(0, new Gene(machineChromosome1));
var machineChromosome2 = new MachineChromosome(new int[]
{
1, 3
}.Select(x => jobShop.Operations[x]).ToArray());
chromosome.ReplaceGene(1, new Gene(machineChromosome2));
graphHandler = new GraphHandler();
}
private async Task<Job> PostOrderToJob(OrderModel model, string adminUserId = null)
{
UserModel userModel = new UserModel(await accountManager.FindByIdAsync(model.UserId));
UserModel adminUserModel = null;
Vendor vendor = default(Vendor);
if (!string.IsNullOrWhiteSpace(model.VendorId))
{
vendor = await vendorService.Get(model.VendorId);
}
if (!string.IsNullOrWhiteSpace(adminUserId))
{
adminUserModel = new UserModel(await accountManager.FindByIdAsync(adminUserId));
}
JobShop jobShop = new JobShop();
JobBuilder builder;
switch (model.Type)
{
case OrderTypes.Ride:
{
RideOrder rideOrderModel = model as RideOrder;
Validator.ValidateObject(rideOrderModel, new ValidationContext(rideOrderModel), true);
builder = adminUserModel == null ?
new RideJobBuilder(rideOrderModel, userModel, hridService)
: new RideJobBuilder(rideOrderModel, userModel, adminUserModel, hridService);
break;
}
case OrderTypes.ClassifiedDelivery:
{
ClassifiedDeliveryOrder classifiedDeliveryOrderModel = model as ClassifiedDeliveryOrder;
if (!string.IsNullOrWhiteSpace(classifiedDeliveryOrderModel.BuyerInfo?.UserRef))
{
var user = await accountManager.FindByIdAsync(classifiedDeliveryOrderModel.BuyerInfo.UserRef);
classifiedDeliveryOrderModel.BuyerInfo.PhoneNumber = user.PhoneNumber;
classifiedDeliveryOrderModel.BuyerInfo.Address = user.Profile.Address;
classifiedDeliveryOrderModel.BuyerInfo.Name = GetNameFromProfile(user);
}
if (!string.IsNullOrWhiteSpace(classifiedDeliveryOrderModel.SellerInfo?.UserRef))
{
var user = await accountManager.FindByIdAsync(classifiedDeliveryOrderModel.SellerInfo.UserRef);
classifiedDeliveryOrderModel.SellerInfo.PhoneNumber = user.PhoneNumber;
classifiedDeliveryOrderModel.SellerInfo.Address = user.Profile.Address;
classifiedDeliveryOrderModel.SellerInfo.Name = GetNameFromProfile(user);
}
builder = GetDeliveryJobBuilder(userModel, adminUserModel, classifiedDeliveryOrderModel, vendor);
break;
}
case OrderTypes.Delivery:
{
DeliveryOrder deliveryOrderModel = model as DeliveryOrder;
builder = GetDeliveryJobBuilder(userModel, adminUserModel, deliveryOrderModel, vendor);
break;
}
default:
throw new InvalidOperationException("Invalid/Not supported Order Type Provided");
}
return await ConstructAndRegister(jobShop, builder);
}
private async Task<Job> ConstructAndRegister(JobShop jobShop, JobBuilder builder)
{
var createdJob = jobShop.Construct(builder);
return await manager.RegisterJob(createdJob);
}
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 static void save(int machine, List <List <TimeSpan> > tuplesSolution)
{
JobShop.createNewXML(machine, tuplesSolution);
}
public ScheduleChromosome(JobShop jobShop) : this(jobShop, true)
{
}
private static void Main(string[] args)
{
ParseCmdArguments(args);
string inputPath = Global.Config.InputFilePath;
string inputName = Path.GetFileName(inputPath);
int iterationsCount = Global.Config.IterationsCount;
Log.Logger = new LoggerConfiguration()
.MinimumLevel.Information()
.WriteTo.Console()
.WriteTo.File($"{inputName}.log")
.CreateLogger();
Log.Information("CONFIG PARAMETERS");
Log.Information(Global.Config.ToString());
JobShop jobShop = LoadJobShop(inputPath);
//JobShop jobShop = GenerateJobShop();
var plottingUtils = new PlottingHelper();
var gaAdaptive = new JobShopGeneticAlgorithm(jobShop, iterationsCount, logger: Log.Logger, adaptive: true)
{
PlotModel = plottingUtils.CreatePlotModel()
};
gaAdaptive.Run();
var adaptiveSeries = plottingUtils.AverageY(gaAdaptive.PlotModel.Series.OfType <LineSeries>());
adaptiveSeries.Title = "Adaptive";
using (var sw = new StreamWriter($"{inputName}.out"))
{
sw.WriteLine("Adaptive");
sw.WriteLine();
sw.WriteLine(gaAdaptive.BestSchedule.GetStringRepresentation());
sw.WriteLine($"Schedule length: {gaAdaptive.BestSchedule.ScheduleLength}");
sw.WriteLine();
}
var gaNonAdaptive = new JobShopGeneticAlgorithm(jobShop, iterationsCount, logger: Log.Logger, adaptive: false)
{
PlotModel = plottingUtils.CreatePlotModel()
};
gaNonAdaptive.Run();
var nonAdaptiveSeries = plottingUtils.AverageY(gaNonAdaptive.PlotModel.Series.OfType <LineSeries>());
nonAdaptiveSeries.Title = "Basic";
var plotModel = plottingUtils.CreatePlotModel();
plotModel.Title = inputName;
plotModel.Series.Add(adaptiveSeries);
plotModel.Series.Add(nonAdaptiveSeries);
plottingUtils.ExportPlotModelToSvg(inputName, plotModel);
using (var sw = new StreamWriter($"{inputName}.out", append: true))
{
sw.WriteLine("Non-adaptive");
sw.WriteLine();
sw.WriteLine(gaNonAdaptive.BestSchedule.GetStringRepresentation());
sw.WriteLine($"Schedule length: {gaNonAdaptive.BestSchedule.ScheduleLength}");
sw.WriteLine();
}
}