1 | using HeuristicLab.BioBoost.ProblemDescription;
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2 | using HeuristicLab.Common;
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3 | using HeuristicLab.Core;
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4 | using HeuristicLab.Data;
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5 | using HeuristicLab.Encodings.IntegerVectorEncoding;
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6 | using HeuristicLab.Parameters;
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7 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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8 | using System;
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9 | using System.Linq;
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10 |
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11 | namespace HeuristicLab.BioBoost.Operators.Mutation {
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12 | [StorableClass]
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13 | public class DistanceBasedIntegerVectorMutator : IntegerVectorManipulator {
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14 |
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15 |
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16 | #region Parameters
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17 | public LookupParameter<DistanceMatrix> DistanceMatrixParameter { get { return (LookupParameter<DistanceMatrix>) Parameters["DistanceMatrix"]; } }
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18 | public ValueParameter<BoolValue> DistanceMatrixInProblemDataParameter { get { return (ValueParameter<BoolValue>) Parameters["DistanceMatrixInProblemData"]; } }
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19 | public ILookupParameter<BioBoostProblemData> ProblemDataParameter { get { return (ILookupParameter<BioBoostProblemData>) Parameters["ProblemData"]; } }
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20 | public ILookupParameter<IntArray> ViableSourcesParameter { get { return (ILookupParameter<IntArray>) Parameters["ViableSources"]; } }
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21 | public ILookupParameter<IntArray> ViableTargetsParameter { get { return (ILookupParameter<IntArray>) Parameters["ViableTargets"]; } }
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22 | public IValueLookupParameter<DoubleValue> MaximumDistanceParameter { get { return (IValueLookupParameter<DoubleValue>) Parameters["MaximumDistance"]; } }
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23 |
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24 | #endregion
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25 |
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26 | #region Parameter Values
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27 | public DistanceMatrix DistanceMatrix {
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28 | get {
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29 | if (DistanceMatrixInProblemData) {
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30 | return ((IValueParameter<DistanceMatrix>) ProblemData.Parameters[DistanceMatrixParameter.ActualName]).Value;
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31 | } else {
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32 | return DistanceMatrixParameter.ActualValue;
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33 | }
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34 | }
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35 | }
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36 | public bool DistanceMatrixInProblemData { get { return DistanceMatrixInProblemDataParameter.Value.Value; } }
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37 | public BioBoostProblemData ProblemData { get { return ProblemDataParameter.ActualValue; } }
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38 | public IntArray ViableSources { get { return ViableSourcesParameter.ActualValue; } }
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39 | public IntArray ViableTargets { get { return ViableTargetsParameter.ActualValue; } }
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40 | public double MaximumDistance { get { return MaximumDistanceParameter.ActualValue.Value; } }
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41 | #endregion
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42 |
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43 | #region Construction & Cloning
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44 | [StorableConstructor]
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45 | protected DistanceBasedIntegerVectorMutator(bool isDeserializing) : base(isDeserializing) {}
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46 | protected DistanceBasedIntegerVectorMutator(DistanceBasedIntegerVectorMutator orig, Cloner cloner) : base(orig, cloner) {}
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47 | public DistanceBasedIntegerVectorMutator() {
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48 | Parameters.Add(new LookupParameter<DistanceMatrix>("DistanceMatrix", "The distance matrix to use", "StreetDistanceMatrix")); // TODO: check this
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49 | Parameters.Add(new ValueParameter<BoolValue>("DistanceMatrixInProblemData", "Whether to look for the distance matrix in problem data or in scope.", new BoolValue(true)));
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50 | Parameters.Add(new LookupParameter<BioBoostProblemData>("ProblemData", "Contains fixed values describing the problem."));
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51 | Parameters.Add(new LookupParameter<IntArray>("ViableSources", "A list with all indices of viable source regions."));
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52 | Parameters.Add(new LookupParameter<IntArray>("ViableTargets", "A list with all indices of viable target regions."));
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53 | Parameters.Add(new ValueLookupParameter<DoubleValue>("MaximumDistance", "the maximum distance from source to target allowed for mutation", new DoubleValue(Double.MaxValue)));
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54 | }
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55 | public override IDeepCloneable Clone(Cloner cloner) {
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56 | return new DistanceBasedIntegerVectorMutator(this, cloner);
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57 | }
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58 |
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59 | [StorableHook(HookType.AfterDeserialization)]
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60 | private void AfterDeserialization() {
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61 | if (!Parameters.ContainsKey("ViableSources"))
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62 | Parameters.Add(new LookupParameter<IntArray>("ViableSources", "A list with all indices of viable source regions."));
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63 | if (!Parameters.ContainsKey("ViableTargets"))
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64 | Parameters.Add(new LookupParameter<IntArray>("ViableTargets", "A list with all indices of viable target regions."));
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65 | if (!Parameters.ContainsKey("MaximumDistance"))
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66 | Parameters.Add(new ValueLookupParameter<DoubleValue>("MaximumDistance", "the maximum distance from source to target allowed for mutation", new DoubleValue(Double.MaxValue)));
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67 | }
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68 | #endregion
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69 |
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70 | protected override void Manipulate(IRandom random, IntegerVector integerVector) {
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71 | var sources = ViableSources ?? new IntArray(Enumerable.Range(0, integerVector.Length).ToArray());
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72 | var targets = ViableTargets ?? new IntArray(Enumerable.Range(0, integerVector.Length).ToArray());
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73 | var source = random.Next(sources.Length);
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74 | var target = integerVector[sources[source]];
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75 | var neighborDistances = new double[0].Select((d, idx) => new {index = idx, distance = d}).ToList();
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76 | var distances = DistanceMatrix;
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77 | var maxDistance = 0d;
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78 | for (int j = 0; j < targets.Length; j++) {
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79 | if (distances[source, targets[j]] > MaximumDistance) continue;
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80 | var dist = distances[target, targets[j]];
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81 | neighborDistances.Add(new {index = targets[j], distance = dist});
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82 | maxDistance = Math.Max(dist, maxDistance);
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83 | }
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84 | neighborDistances = neighborDistances.Select(p => new {p.index, distance = maxDistance - p.distance}).ToList();
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85 | neighborDistances.Sort((a, b) => b.distance.CompareTo(a.distance));
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86 | var totalDistance = neighborDistances.Sum(p => p.distance);
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87 | var threshold = random.NextDouble()*totalDistance;
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88 | var sum = 0d;
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89 | var index = 0;
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90 | while (index < neighborDistances.Count && sum < threshold) {
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91 | sum += neighborDistances[index].distance;
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92 | index++;
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93 | }
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94 | if (index < 0 || index >= neighborDistances.Count) {
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95 | integerVector[sources[source]] = sources[source]; // reset to local transport if no choices exist
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96 | } else {
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97 | integerVector[sources[source]] = neighborDistances[index].index;
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98 | }
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99 | }
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100 |
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101 | }
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102 | }
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