#region License Information
/* HeuristicLab
* Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
*
* This file is part of HeuristicLab.
*
* HeuristicLab is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* HeuristicLab is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with HeuristicLab. If not, see .
*/
#endregion
using System;
using System.Collections.Generic;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Encodings.PermutationEncoding;
using HeuristicLab.Encodings.ScheduleEncoding;
using HeuristicLab.Encodings.ScheduleEncoding.JobSequenceMatrix;
using HeuristicLab.Optimization;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Problems.Scheduling {
[Item("JobSequenceMatrixDecoder", "Applies the GifflerThompson algorithm to create an active schedule from a JobSequence Matrix.")]
[StorableType("1BAF94F0-CA98-47F4-A093-0ABFAB580F17")]
public class JSMDecoder : ScheduleDecoder, IStochasticOperator, IJSSPOperator {
public ILookupParameter RandomParameter {
get { return (LookupParameter)Parameters["Random"]; }
}
public ILookupParameter> JobDataParameter {
get { return (LookupParameter>)Parameters["JobData"]; }
}
public IValueParameter DecodingErrorPolicyParameter {
get { return (IValueParameter)Parameters["DecodingErrorPolicy"]; }
}
public IValueParameter ForcingStrategyParameter {
get { return (IValueParameter)Parameters["ForcingStrategy"]; }
}
private JSMDecodingErrorPolicyTypes DecodingErrorPolicy {
get { return DecodingErrorPolicyParameter.Value.Value; }
}
private JSMForcingStrategyTypes ForcingStrategy {
get { return ForcingStrategyParameter.Value.Value; }
}
[StorableConstructor]
protected JSMDecoder(bool deserializing) : base(deserializing) { }
protected JSMDecoder(JSMDecoder original, Cloner cloner) : base(original, cloner) { }
public override IDeepCloneable Clone(Cloner cloner) {
return new JSMDecoder(this, cloner);
}
public JSMDecoder()
: base() {
Parameters.Add(new LookupParameter("Random", "The pseudo random number generator which should be used for stochastic manipulation operators."));
Parameters.Add(new LookupParameter>("JobData", "Job data taken from the Schedulingproblem - Instance."));
Parameters.Add(new ValueParameter("DecodingErrorPolicy", "Specify the policy that should be used to handle decoding errors.", new JSMDecodingErrorPolicy(JSMDecodingErrorPolicyTypes.RandomPolicy)));
Parameters.Add(new ValueParameter("ForcingStrategy", "Specifies a forcing strategy.", new JSMForcingStrategy(JSMForcingStrategyTypes.SwapForcing)));
ScheduleEncodingParameter.ActualName = "JobSequenceMatrix";
}
private Task SelectTaskFromConflictSet(int conflictedResourceNr, int progressOnConflictedResource, ItemList conflictSet, ItemList jsm) {
if (conflictSet.Count == 1)
return conflictSet[0];
//get solutionCandidate from jobSequencingMatrix
int solutionCandidateJobNr = jsm[conflictedResourceNr][progressOnConflictedResource];
//scan conflictSet for given solutionCandidate, and return if found
foreach (Task t in conflictSet) {
if (t.JobNr == solutionCandidateJobNr)
return t;
}
//if solutionCandidate wasn't found in conflictSet apply DecodingErrorPolicy and ForcingPolicy
Task result = ApplyDecodingErrorPolicy(conflictSet, jsm[conflictedResourceNr], progressOnConflictedResource);
int newResolutionIndex = 0;
while (newResolutionIndex < jsm[conflictedResourceNr].Length && jsm[conflictedResourceNr][newResolutionIndex] != result.JobNr)
newResolutionIndex++;
ApplyForcingStrategy(jsm, conflictedResourceNr, newResolutionIndex, progressOnConflictedResource, result.JobNr);
return result;
}
private Task ApplyDecodingErrorPolicy(ItemList conflictSet, Permutation resource, int progress) {
if (DecodingErrorPolicy == JSMDecodingErrorPolicyTypes.RandomPolicy) {
//Random
return conflictSet[RandomParameter.ActualValue.Next(conflictSet.Count - 1)];
} else {
//Guided
for (int i = progress; i < resource.Length; i++) {
int j = 0;
while (j < conflictSet.Count && conflictSet[j].JobNr != resource[i])
j++;
if (j < conflictSet.Count)
return (conflictSet[j]);
}
return conflictSet[RandomParameter.ActualValue.Next(conflictSet.Count - 1)];
}
}
private void ApplyForcingStrategy(ItemList jsm, int conflictedResource, int newResolutionIndex, int progressOnResource, int newResolution) {
if (ForcingStrategy == JSMForcingStrategyTypes.SwapForcing) {
//SwapForcing
jsm[conflictedResource][newResolutionIndex] = jsm[conflictedResource][progressOnResource];
jsm[conflictedResource][progressOnResource] = newResolution;
} else {
//ShiftForcing
List asList = jsm[conflictedResource].ToList();
if (newResolutionIndex > progressOnResource) {
asList.RemoveAt(newResolutionIndex);
asList.Insert(progressOnResource, newResolution);
} else {
asList.Insert(progressOnResource, newResolution);
asList.RemoveAt(newResolutionIndex);
}
jsm[conflictedResource] = new Permutation(PermutationTypes.Absolute, asList.ToArray());
}
}
public Schedule CreateScheduleFromEncoding(JSMEncoding solution, ItemList jobData) {
ItemList jobSequenceMatrix = solution.JobSequenceMatrix;
var jobs = (ItemList)jobData.Clone();
var resultingSchedule = new Schedule(jobs[0].Tasks.Count);
//Reset scheduled tasks in result
foreach (Job j in jobs) {
foreach (Task t in j.Tasks) {
t.IsScheduled = false;
}
}
//GT-Algorithm
//STEP 0 - Compute a list of "earliest operations"
ItemList earliestTasksList = GTAlgorithmUtils.GetEarliestNotScheduledTasks(jobs);
while (earliestTasksList.Count > 0) {
//STEP 1 - Get earliest not scheduled operation with minimal earliest completing time
Task minimal = GTAlgorithmUtils.GetTaskWithMinimalEC(earliestTasksList, resultingSchedule);
int conflictedResourceNr = minimal.ResourceNr;
Resource conflictedResource = resultingSchedule.Resources[conflictedResourceNr];
//STEP 2 - Compute a conflict set of all operations that can be scheduled on the conflicted resource
ItemList conflictSet = GTAlgorithmUtils.GetConflictSetForTask(minimal, earliestTasksList, jobs, resultingSchedule);
//STEP 3 - Select a task from the conflict set
int progressOnResource = conflictedResource.Tasks.Count;
Task selectedTask = SelectTaskFromConflictSet(conflictedResourceNr, progressOnResource, conflictSet, jobSequenceMatrix);
//STEP 4 - Add the selected task to the current schedule
selectedTask.IsScheduled = true;
double startTime = GTAlgorithmUtils.ComputeEarliestStartTime(selectedTask, resultingSchedule);
resultingSchedule.ScheduleTask(selectedTask.ResourceNr, startTime, selectedTask.Duration, selectedTask.JobNr);
//STEP 5 - Back to STEP 1
earliestTasksList = GTAlgorithmUtils.GetEarliestNotScheduledTasks(jobs);
}
return resultingSchedule;
}
public override Schedule CreateScheduleFromEncoding(IScheduleEncoding encoding) {
var solution = encoding as JSMEncoding;
if (solution == null) throw new InvalidOperationException("Encoding is not of type JSMEncoding");
return CreateScheduleFromEncoding(solution, JobDataParameter.ActualValue);
}
}
}