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source: branches/HeuristicLab.MetaOptimization/HeuristicLab.Problems.MetaOptimization/3.3/Encoding/Crossovers/ParameterConfigurationCrossover.cs @ 6017

Last change on this file since 6017 was 6017, checked in by cneumuel, 12 years ago

#1215

  • fixed import of existing algorithm
  • moved operators in subfolders
  • extended tests for SymbolicExpressionGrammar
File size: 7.0 KB
Line 
1using System;
2using HeuristicLab.Common;
3using HeuristicLab.Core;
4using HeuristicLab.Data;
5using HeuristicLab.Encodings.IntegerVectorEncoding;
6using HeuristicLab.Operators;
7using HeuristicLab.Parameters;
8using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
9
10namespace HeuristicLab.Problems.MetaOptimization {
11  /// <summary>
12  ///
13  /// </summary>
14  [Item("ParameterConfigurationCrossover", "TODO")]
15  [StorableClass]
16  public class ParameterConfigurationCrossover : SingleSuccessorOperator, IParameterConfigurationOperator, IParameterConfigurationCrossover {
17    public override bool CanChangeName {
18      get { return false; }
19    }
20
21    public ILookupParameter<IRandom> RandomParameter {
22      get { return (LookupParameter<IRandom>)Parameters["Random"]; }
23    }
24    public ILookupParameter<ItemArray<ParameterConfigurationTree>> ParentsParameter {
25      get { return (ScopeTreeLookupParameter<ParameterConfigurationTree>)Parameters["Parents"]; }
26    }
27    public ILookupParameter<ParameterConfigurationTree> ChildParameter {
28      get { return (ILookupParameter<ParameterConfigurationTree>)Parameters["Child"]; }
29    }
30
31    public IValueLookupParameter<IIntValueCrossover> IntValueCrossoverParameter {
32      get { return (IValueLookupParameter<IIntValueCrossover>)Parameters[MetaOptimizationProblem.IntValueCrossoverParameterName]; }
33    }
34    public IValueLookupParameter<IDoubleValueCrossover> DoubleValueCrossoverParameter {
35      get { return (IValueLookupParameter<IDoubleValueCrossover>)Parameters[MetaOptimizationProblem.DoubleValueCrossoverParameterName]; }
36    }
37
38    /// <summary>
39    /// Whether the problem is a maximization or minimization problem.
40    /// </summary>
41    public ValueLookupParameter<BoolValue> MaximizationParameter {
42      get { return (ValueLookupParameter<BoolValue>)Parameters["Maximization"]; }
43    }
44
45    /// <summary>
46    /// The quality of the parents.
47    /// </summary>
48    public ScopeTreeLookupParameter<DoubleValue> QualityParameter {
49      get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
50    }
51
52    [StorableConstructor]
53    protected ParameterConfigurationCrossover(bool deserializing) : base(deserializing) { }
54    protected ParameterConfigurationCrossover(ParameterConfigurationCrossover original, Cloner cloner) : base(original, cloner) { }
55    public ParameterConfigurationCrossover()
56      : base() {
57      Parameters.Add(new LookupParameter<IRandom>("Random", "The pseudo random number generator which should be used for stochastic crossover operators."));
58      Parameters.Add(new ScopeTreeLookupParameter<ParameterConfigurationTree>("Parents", "The parent vectors which should be crossed."));
59      Parameters.Add(new LookupParameter<ParameterConfigurationTree>("Child", "The child vector resulting from the crossover."));
60      Parameters.Add(new ValueLookupParameter<BoolValue>("Maximization", "Whether the problem is a maximization problem or not."));
61      Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", "The quality values of the parents."));
62      Parameters.Add(new ValueLookupParameter<IIntValueCrossover>(MetaOptimizationProblem.IntValueCrossoverParameterName, ""));
63      Parameters.Add(new ValueLookupParameter<IDoubleValueCrossover>(MetaOptimizationProblem.DoubleValueCrossoverParameterName, ""));
64    }
65    public override IDeepCloneable Clone(Cloner cloner) {
66      return new ParameterConfigurationCrossover(this, cloner);
67    }
68
69    public override IOperation Apply() {
70      if (MaximizationParameter.ActualValue == null) throw new InvalidOperationException("HeuristicCrossover: Parameter " + MaximizationParameter.ActualName + " could not be found.");
71      if (QualityParameter.ActualValue == null || QualityParameter.ActualValue.Length != 2) throw new InvalidOperationException("ParameterConfigurationCrossover: Parameter " + QualityParameter.ActualName + " could not be found, or not in the same quantity as there are parents.");
72      ItemArray<DoubleValue> qualities = QualityParameter.ActualValue;
73      bool maximization = MaximizationParameter.ActualValue.Value;
74
75      ParameterConfigurationTree child1;
76      ParameterConfigurationTree child2;
77
78      if (maximization && qualities[0].Value >= qualities[1].Value || !maximization && qualities[0].Value <= qualities[1].Value) {
79        child1 = (ParameterConfigurationTree)ParentsParameter.ActualValue[0].Clone();
80        child2 = (ParameterConfigurationTree)ParentsParameter.ActualValue[1];
81      } else {
82        child1 = (ParameterConfigurationTree)ParentsParameter.ActualValue[1].Clone();
83        child2 = (ParameterConfigurationTree)ParentsParameter.ActualValue[0];
84      }
85
86      child1.Cross(RandomParameter.ActualValue, child2, Cross, IntValueCrossoverParameter.ActualValue, DoubleValueCrossoverParameter.ActualValue);
87      this.ChildParameter.ActualValue = child1;
88
89      return base.Apply();
90    }
91
92    public static void Apply(IRandom random, IOptimizable configuartion, IOptimizable other, IIntValueCrossover intValueCrossover, IDoubleValueCrossover doubleValueCrossover) {
93      configuartion.Cross(random, other, Cross, intValueCrossover, doubleValueCrossover);
94    }
95
96    public static void Cross(IRandom random, IOptimizable configuration, IOptimizable other, IIntValueCrossover intValueCrossover, IDoubleValueCrossover doubleValueCrossover) {
97      var vc = configuration as RangeValueConfiguration;
98      var pc = configuration as IParameterConfiguration;
99      if (vc != null) {
100        var value = vc.ActualValue.Value;
101        var range = vc.RangeConstraint;
102
103        if (value is IntValue) {
104          intValueCrossover.Apply(random, (IntValue)value, (IntValue)((IValueConfiguration)other).ActualValue.Value, (IntValueRange)range);
105        } else if (value is PercentValue) {
106          doubleValueCrossover.Apply(random, (PercentValue)value, (DoubleValue)((IValueConfiguration)other).ActualValue.Value, ((PercentValueRange)range).AsDoubleValueRange());
107        } else if (value is DoubleValue) {
108          doubleValueCrossover.Apply(random, (DoubleValue)value, (DoubleValue)((IValueConfiguration)other).ActualValue.Value, (DoubleValueRange)range);
109        }
110      } else if (pc != null) {
111        if (random.NextDouble() > 0.5) {
112          pc.ActualValueConfigurationIndex = ((ParameterConfiguration)other).ActualValueConfigurationIndex;
113        }
114        pc.ActualValue = pc.ValueConfigurations[pc.ActualValueConfigurationIndex].ActualValue;
115      }
116    }
117
118    private IntValue CrossInteger(IParameterConfiguration parameter1, IParameterConfiguration parameter2) {
119      IntegerVector integerChild = HeuristicLab.Encodings.IntegerVectorEncoding.DiscreteCrossover.Apply(
120        RandomParameter.ActualValue,
121        new IntegerVector(new IntArray(new int[] { ((IntValue)parameter1.ActualValue.Value).Value })),
122        new IntegerVector(new IntArray(new int[] { ((IntValue)parameter2.ActualValue.Value).Value })));
123      return new IntValue(integerChild[0]);
124    }
125
126  }
127}
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