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source: branches/SuccessProgressAnalysis/HeuristicLab.Problems.VehicleRouting/3.3/Encodings/General/Manipulators/BiasedMultiVRPSolutionManipulator.cs @ 5493

Last change on this file since 5493 was 5493, checked in by svonolfe, 12 years ago

Added success-dependant execution of the operators for the VRP (#1392)

File size: 7.5 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System;
23using System.Collections.Generic;
24using System.Linq;
25using System.Text;
26using HeuristicLab.Core;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28using HeuristicLab.Common;
29using HeuristicLab.Analysis;
30using HeuristicLab.Parameters;
31using HeuristicLab.Optimization;
32using HeuristicLab.Data;
33using HeuristicLab.Collections;
34
35namespace HeuristicLab.Problems.VehicleRouting.Encodings.General {
36  [Item("BiasedMultiVRPSolutionManipulator", "Randomly selects and applies one of its crossovers every time it is called based on the success progress.")]
37  [StorableClass]
38  public class BiasedMultiVRPSolutionManipulator : MultiVRPSolutionManipulator {
39    public ValueLookupParameter<DoubleArray> ActualProbabilitiesParameter {
40      get { return (ValueLookupParameter<DoubleArray>)Parameters["ActualProbabilities"]; }
41    }
42
43    public ValueLookupParameter<IntValue> LastUpdateParameter {
44      get { return (ValueLookupParameter<IntValue>)Parameters["LastUpdate"]; }
45    }
46   
47    public ValueLookupParameter<ResultCollection> ResultsParameter {
48      get { return (ValueLookupParameter<ResultCollection>)Parameters["Results"]; }
49    }
50
51    public ValueLookupParameter<StringValue> SuccessProgressAnalyisis {
52      get { return (ValueLookupParameter<StringValue>)Parameters["SuccessProgressAnalysis"]; }
53    }
54
55    public ValueLookupParameter<IntValue> Interval {
56      get { return (ValueLookupParameter<IntValue>)Parameters["Interval"]; }
57    }
58
59    public ValueLookupParameter<DoubleValue> Factor {
60      get { return (ValueLookupParameter<DoubleValue>)Parameters["Factor"]; }
61    }
62
63    public LookupParameter<IntValue> Generations {
64      get { return (LookupParameter<IntValue>)Parameters["Generations"]; }
65    }
66
67    [StorableConstructor]
68    protected BiasedMultiVRPSolutionManipulator(bool deserializing) : base(deserializing) { }
69    protected BiasedMultiVRPSolutionManipulator(BiasedMultiVRPSolutionManipulator original, Cloner cloner) : base(original, cloner) { }
70    public BiasedMultiVRPSolutionManipulator()
71      : base() {
72      Parameters.Add(new ValueLookupParameter<DoubleArray>("ActualProbabilities", "The array of relative probabilities for each operator."));
73      Parameters.Add(new ValueLookupParameter<ResultCollection>("Results", "The result collection where the succedd progress analysis results should be stored."));
74      Parameters.Add(new ValueLookupParameter<StringValue>("SuccessProgressAnalysis", "The success progress analyisis to be considered",
75        new StringValue("Success Progress ExecutedMutationOperator")));
76      Parameters.Add(new ValueLookupParameter<IntValue>("Interval", "The interval the probabilities should be updated", new IntValue(1)));
77      Parameters.Add(new ValueLookupParameter<IntValue>("LastUpdate", "Specifies when the probabilities were last updated", new IntValue(0)));
78      Parameters.Add(new ValueLookupParameter<DoubleValue>("Factor", "The factor with which the probabilities should be updated", new DoubleValue(35)));
79      Parameters.Add(new LookupParameter<IntValue>("Generations", "The current number of generations."));
80    }
81
82    public override IDeepCloneable Clone(Cloner cloner) {
83      return new BiasedMultiVRPSolutionManipulator(this, cloner);
84    }
85
86    public override IOperation Apply() {
87      int generations = Generations.ActualValue.Value;
88      int interval = Interval.ActualValue.Value;
89
90      if (generations == 0) {
91        ActualProbabilitiesParameter.Value = ProbabilitiesParameter.ActualValue.Clone() as DoubleArray;
92        LastUpdateParameter.Value = new IntValue(0);
93      } else if (generations % interval == 0 && LastUpdateParameter.Value.Value != generations) {
94        String key = SuccessProgressAnalyisis.ActualValue.Value;
95        if (ResultsParameter.ActualValue != null && ResultsParameter.ActualValue.ContainsKey(key)) {
96          DataTable successProgressAnalysis = ResultsParameter.ActualValue[key].Value as DataTable;
97
98          for (int i = 0; i < Operators.Count; i++) {
99            IOperator current = Operators[i];
100
101            if (successProgressAnalysis.Rows.ContainsKey(current.Name)) {
102              DataRow row = successProgressAnalysis.Rows[current.Name];
103
104              double sum = 0.0;
105              ObservableList<double> usages = row.Values;
106
107              int end = generations;
108              int start = generations - interval;
109
110              if (end - start > 0) {
111                for (int j = start; j < end; j++) {
112                  sum += (double)usages[j];
113                }
114
115                ActualProbabilitiesParameter.Value[i] += ((sum / (end - start)) / ActualProbabilitiesParameter.Value[i]) * Factor.Value.Value;
116              }
117            }
118          }
119        }
120
121        //normalize
122        double max = ActualProbabilitiesParameter.Value.Max();
123        for (int i = 0; i < ActualProbabilitiesParameter.Value.Length; i++) {
124          ActualProbabilitiesParameter.Value[i] /= max;
125        }
126
127        LastUpdateParameter.Value.Value = generations;
128      }
129
130      ////////////////
131      IRandom random = RandomParameter.ActualValue;
132      DoubleArray probabilities = ActualProbabilitiesParameter.ActualValue;
133      if (probabilities.Length != Operators.Count) {
134        throw new InvalidOperationException(Name + ": The list of probabilities has to match the number of operators");
135      }
136      IOperator successor = null;
137      var checkedOperators = Operators.CheckedItems;
138      if (checkedOperators.Count() > 0) {
139        // select a random operator from the checked operators
140        double sum = (from indexedItem in checkedOperators select probabilities[indexedItem.Index]).Sum();
141        if (sum == 0) throw new InvalidOperationException(Name + ": All selected operators have zero probability.");
142        double r = random.NextDouble() * sum;
143        sum = 0;
144        foreach (var indexedItem in checkedOperators) {
145          sum += probabilities[indexedItem.Index];
146          if (sum > r) {
147            successor = indexedItem.Value;
148            break;
149          }
150        }
151      }
152
153      IOperation successorOp = null;
154      if (Successor != null)
155        successorOp = ExecutionContext.CreateOperation(Successor);
156      OperationCollection next = new OperationCollection(successorOp);
157      if (successor != null) {
158        ExecutedOperatorParameter.ActualValue = new StringValue(successor.GetType().Name);
159
160        if (CreateChildOperation)
161          next.Insert(0, ExecutionContext.CreateChildOperation(successor));
162        else next.Insert(0, ExecutionContext.CreateOperation(successor));
163      } else {
164        ExecutedOperatorParameter.ActualValue = new StringValue("");
165      }
166
167      return next;
168    }
169  }
170}
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