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Changeset 13776


Ignore:
Timestamp:
04/20/16 10:29:06 (9 years ago)
Author:
bwerth
Message:

#1087 added ConstrainedFunctions

Location:
branches/HeuristicLab.Problems.MultiObjectiveTestFunctions
Files:
2 added
5 edited
1 copied

Legend:

Unmodified
Added
Removed
  • branches/HeuristicLab.Problems.MultiObjectiveTestFunctions/HeuristicLab.Problems.MultiObjectiveTestFunctions/3.3/Calculators/HyperVolume.cs

    r13725 r13776  
    5757      double[][] set = front.ToArray();   //Still no Good
    5858      if (set.Length == 0) throw new ArgumentException("Fronts must not be empty");
     59      if (refp.Length != set.Length) throw new ArgumentException("Front and referencepoint need to be of the same dimensionality");
    5960      Array.Sort<double[]>(set, Utilities.getDimensionComparer(0, maximization[0]));
    6061      double[] last = set[set.Length - 1];
  • branches/HeuristicLab.Problems.MultiObjectiveTestFunctions/HeuristicLab.Problems.MultiObjectiveTestFunctions/3.3/HeuristicLab.Problems.MultiObjectiveTestFunctions-3.3.csproj

    r13771 r13776  
    154154    <Compile Include="Data\DTLZInstanceProvider.cs" />
    155155    <Compile Include="Interfaces\IMOFrontModel.cs" />
     156    <Compile Include="Testfunctions\CF1.cs" />
    156157    <Compile Include="Views\MOSolution.cs" />
    157158    <Compile Include="Views\MOFrontScatterPlotView.cs">
     
    204205    <EmbeddedResource Include="EmbeddedRessources\ZDT4.pf" />
    205206    <EmbeddedResource Include="EmbeddedRessources\ZDT6.pf" />
     207    <EmbeddedResource Include="EmbeddedRessources\CF1.pf" />
    206208    <None Include="HeuristicLab.snk" />
    207209    <None Include="Plugin.cs.frame" />
  • branches/HeuristicLab.Problems.MultiObjectiveTestFunctions/HeuristicLab.Problems.MultiObjectiveTestFunctions/3.3/Interfaces/IConstrainedTestFunction.cs

    r13773 r13776  
    2020#endregion
    2121
    22 using System.Collections.Generic;
    2322using HeuristicLab.Core;
    2423using HeuristicLab.Encodings.RealVectorEncoding;
     
    2827  /// An interface which represents an evaluation operator for multi objective test functions.
    2928  /// </summary>
    30   public interface IMultiObjectiveTestFunction : INamedItem {
    31     bool[] Maximization(int objectives);
    32     double[,] Bounds(int objectives);
    33     IEnumerable<double[]> OptimalParetoFront(int objectives);
    34     double[] ReferencePoint(int objectives);
    35     double BestKnownHypervolume(int objectives);
     29  public interface IConstrainedTestFunction : INamedItem {
    3630
    37     int MinimumSolutionLength { get; }
    38     int MaximumSolutionLength { get; }
    39     int MinimumObjectives { get; }
    40     int MaximumObjectives { get; }
    41 
    42     double[] Evaluate(RealVector point, int objectives);
     31    /// <summary>
     32    /// checks whether a given solution violates the contraints of this function 
     33    /// </summary>
     34    /// <param name="point"></param>
     35    /// <param name="objectives"></param>
     36    /// <returns>a double array that holds the distances that describe how much every contraint is violated (0 is not violated) </returns>
     37    double[] CheckConstraints(RealVector point, int objectives);
    4338  }
    4439}
  • branches/HeuristicLab.Problems.MultiObjectiveTestFunctions/HeuristicLab.Problems.MultiObjectiveTestFunctions/3.3/MultiObjectiveTestFunctionProblem.cs

    r13771 r13776  
    167167    }
    168168
     169
     170    /// <summary>
     171    /// Checks whether a given solution violates the contraints of this function.
     172    /// </summary>
     173    /// <param name="individual"></param>
     174    /// <returns>a double array that holds the distances that describe how much every contraint is violated (0 is not violated). If the current TestFunction does not have constraints an array of length 0 is returned</returns>
     175    public double[] checkContraints(RealVector individual) {
     176      if (TestFunction is IConstrainedTestFunction) {
     177        return ((IConstrainedTestFunction)TestFunction).CheckConstraints(individual, Objectives);
     178      }
     179      return new double[0];
     180    }
     181
    169182    public double[] Evaluate(RealVector individual, IRandom random) {
    170183      return TestFunction.Evaluate(individual, Objectives);
  • branches/HeuristicLab.Problems.MultiObjectiveTestFunctions/HeuristicLab.Problems.MultiObjectiveTestFunctions/3.3/Testfunctions/DTLZ/DTLZ8.cs

    r13725 r13776  
    2626
    2727namespace HeuristicLab.Problems.MultiObjectiveTestFunctions {
    28   [Item("DTLZ8", "Testfunction as defined as DTLZ7 in http://repository.ias.ac.in/81671/ [30.11.15]")]
     28  [Item("DTLZ8", "Testfunction as defined as DTLZ7 in http://repository.ias.ac.in/81671/ [30.11.15]. There has been a renumbering therefore the numbers do not match")]
    2929  [StorableClass]
    30   public class DTLZ8 : DTLZ {
     30  public class DTLZ8 : DTLZ, IConstrainedTestFunction {
    3131
    3232
     
    3838    }
    3939    public DTLZ8() : base() { }
    40 
    41     public double[] Evaluate2(RealVector r, int objectives) {
    42       if (r.Length < objectives) {
    43         throw new ArgumentException("The dimensionality of the problem(ProblemSize) must be larger than or equal to ten times the number of objectives ");
    44       }
    45       double[] res = new double[objectives];
    46 
    47       //calculate f0...fM-1;
    48       double n = 10 * objectives;
    49       for (int i = 1; i <= objectives; i++) {
    50         double d = 0;
    51         int c = 0;
    52         for (int j = (int)Math.Floor((i - 1) * n / objectives); j < Math.Min((int)Math.Floor(i * n / objectives), r.Length); j++) {
    53           d += r[j];
    54           c++;
    55         }
    56         if (c != 0) {
    57           d *= 1.0 / c;
    58         }
    59         res[i - 1] = d;
    60       }
    61 
    62       //evaluate constraints g0...gM-2
    63       for (int i = 0; i < objectives - 1; i++) {
    64         if (res[objectives - 1] + 4 * res[i] - 1 < 0) return MultiObjectiveTestFunction.IllegalValue(objectives, Maximization(objectives));
    65       }
    66       //evaluate gM-1
    67       double min = Double.PositiveInfinity;
    68       for (int i = 0; i < objectives - 1; i++) {
    69         for (int j = 0; j < i; j++) min = Math.Min(min, res[i] + res[j]);
    70       };
    71       if (2 * res[objectives - 1] + min - 1 < 0) return MultiObjectiveTestFunction.IllegalValue(objectives, Maximization(objectives));
    72 
    73       return res;
    74     }
    75 
    7640
    7741    public override double[] Evaluate(RealVector r, int objectives) {
     
    10468    }
    10569
    106 
     70    double[] IConstrainedTestFunction.CheckConstraints(RealVector r, int objectives) {
     71      if (r.Length < 10 * objectives) throw new Exception("The dimensionality of the problem(ProblemSize) must be larger than ten times the number of objectives ");
     72      double n = r.Length;
     73      double M = objectives;
     74      double ratio = n / M;
     75      double[] res = new double[objectives];
     76      double[] constraints = new double[objectives];
     77      for (int j = 0; j < objectives; j++) {
     78        double sum = 0;
     79        for (int i = (int)(j * ratio); i < (j + 1) + ratio; i++) {
     80          sum += r[i];
     81        }
     82        sum /= (int)ratio;
     83        res[j] = sum;
     84      }
     85      for (int j = 0; j < M - 1; j++) {
     86        double d1 = res[objectives - 1] + 4 * res[j] - 1;
     87        constraints[j] = d1 < 0 ? -d1 : 0;
     88      }
     89      double min = Double.PositiveInfinity;
     90      for (int i = 0; i < res.Length - 1; i++) {
     91        for (int j = 0; j < i; j++) {
     92          double d2 = res[i] + res[j];
     93          if (min < d2) min = d2;
     94        }
     95      }
     96      double d = 2 * res[objectives - 1] + min - 1;
     97      constraints[constraints.Length - 1] = d < 0 ? -d : 0;
     98      return constraints;
     99    }
    107100  }
    108101}
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