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Timestamp:
07/08/14 20:02:59 (10 years ago)
Author:
mkommend
Message:

#2171: Merged r10601:r10607, r10653, r11075, r11076, r11077, r11080, r11081 into stable.

Location:
stable
Files:
2 edited
1 copied

Legend:

Unmodified
Added
Removed

  • stable

    • Property svn:ignore

      •  

        old new  
        88FxCopResults.txt
        99Google.ProtocolBuffers-0.9.1.dll
         10Google.ProtocolBuffers-2.4.1.473.dll
        1011HeuristicLab 3.3.5.1.ReSharper.user
        1112HeuristicLab 3.3.6.0.ReSharper.user
        1213HeuristicLab.4.5.resharper.user
        1314HeuristicLab.ExtLibs.6.0.ReSharper.user
         15HeuristicLab.Scripting.Development
        1416HeuristicLab.resharper.user
        1517ProtoGen.exe
        … …  
        1719_ReSharper.HeuristicLab
        1820_ReSharper.HeuristicLab 3.3
         21_ReSharper.HeuristicLab 3.3 Tests
        1922_ReSharper.HeuristicLab.ExtLibs
        2023bin
        2124protoc.exe
        22 _ReSharper.HeuristicLab 3.3 Tests
        23 Google.ProtocolBuffers-2.4.1.473.dll
    • Property svn:mergeinfo changed
      /trunk/sourcesmerged: 10601-10607,​10653,​11075-11077,​11080-11081

  • stable/HeuristicLab.Problems.ParameterOptimization/3.3/ParameterOptimizationProblem.cs

    r10594 r11151  
    9494      : base(evaluator, new UniformRandomRealVectorCreator()) {
    9595      Parameters.Add(new FixedValueParameter<IntValue>(ProblemSizeParameterName, "The dimension of the parameter vector that is to be optimized.", new IntValue(1)));
    96       Parameters.Add(new ValueParameter<DoubleMatrix>(BoundsParameterName, "The bounds for each dimension of the parameter vector. If fewer bounds are", new DoubleMatrix(new double[,] { { 0, 100 } }, new string[] { "LowerBound", "UpperBound" })));
     96      Parameters.Add(new ValueParameter<DoubleMatrix>(BoundsParameterName, "The bounds for each dimension of the parameter vector. If the number of bounds is smaller than the problem size then the bounds are reused in a cyclic manner.", new DoubleMatrix(new double[,] { { 0, 100 } }, new string[] { "LowerBound", "UpperBound" })));
    9797      Parameters.Add(new ValueParameter<StringArray>(ParameterNamesParameterName, "The element names which are used to calculate the quality of a parameter vector.", new StringArray(new string[] { "Parameter0" })));
    9898
    … …  
    121121    protected override void OnEvaluatorChanged() {
    122122      base.OnEvaluatorChanged();
    123       strategyVectorManipulator.GeneralLearningRateParameter.Value = new DoubleValue(1.0 / Math.Sqrt(2 * ProblemSize));
    124       strategyVectorManipulator.LearningRateParameter.Value = new DoubleValue(1.0 / Math.Sqrt(2 * Math.Sqrt(ProblemSize)));
    125123      UpdateParameters();
    126124    }
    … …  
    136134      Evaluator.ParameterNamesParameter.ActualName = ParameterNamesParameter.Name;
    137135
    138       var bestSolutionAnalyzer = Operators.OfType<BestSolutionAnalyzer>().First();
    139       bestSolutionAnalyzer.ParameterVectorParameter.ActualName = SolutionCreator.RealVectorParameter.ActualName;
    140       bestSolutionAnalyzer.ParameterNamesParameter.ActualName = ParameterNamesParameter.Name;
    141 
     136      foreach (var bestSolutionAnalyzer in Operators.OfType<BestSolutionAnalyzer>()) {
     137        bestSolutionAnalyzer.ParameterVectorParameter.ActualName = SolutionCreator.RealVectorParameter.ActualName;
     138        bestSolutionAnalyzer.ParameterNamesParameter.ActualName = ParameterNamesParameter.Name;
     139      }
    142140      Bounds = new DoubleMatrix(ProblemSize, 2);
    143141      Bounds.RowNames = ParameterNames;
    … …  
    171169        if (string.IsNullOrEmpty(ParameterNames[i])) ParameterNames[i] = "Parameter" + i;
    172170      }
     171
     172      strategyVectorManipulator.GeneralLearningRateParameter.Value = new DoubleValue(1.0 / Math.Sqrt(2 * ProblemSize));
     173      strategyVectorManipulator.LearningRateParameter.Value = new DoubleValue(1.0 / Math.Sqrt(2 * Math.Sqrt(ProblemSize)));
    173174    }
    174175
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