Changeset 16807

Timestamp:

04/17/19 23:07:03 (6 years ago)

Author:

mkommend

Message:

#2521: Adapted test functions to new architecture and partly MOCMAES.

Location:

branches/2521_ProblemRefactoring

Files:

• HeuristicLab.Algorithms.MOCMAEvolutionStrategy/3.3/IIndicator.cs (modified) (2 diffs)
• HeuristicLab.Algorithms.MOCMAEvolutionStrategy/3.3/Indicators/CrowdingIndicator.cs (modified) (2 diffs)
• HeuristicLab.Algorithms.MOCMAEvolutionStrategy/3.3/Indicators/HypervolumeIndicator.cs (modified) (2 diffs)
• HeuristicLab.Algorithms.MOCMAEvolutionStrategy/3.3/Indicators/MinimalDistanceIndicator.cs (modified) (2 diffs)
• HeuristicLab.Algorithms.MOCMAEvolutionStrategy/3.3/Individual.cs (modified) (1 diff)
• HeuristicLab.Algorithms.MOCMAEvolutionStrategy/3.3/MOCMAEvolutionStrategy.cs (modified) (6 diffs)
• HeuristicLab.Problems.TestFunctions.MultiObjective/3.3/MultiObjectiveTestFunctionProblem.cs (modified) (6 diffs)
• HeuristicLab.Problems.TestFunctions.MultiObjective/3.3/TestFunctions/Misc/Fonseca.cs (modified) (2 diffs)
• HeuristicLab.Problems.TestFunctions.Views/3.3/SingleObjectiveTestFunctionSolutionView.cs (modified) (1 diff)

branches/2521_ProblemRefactoring/HeuristicLab.Algorithms.MOCMAEvolutionStrategy/3.3/IIndicator.cs

@@ -20 +20 @@
 #endregion
 using System.Collections.Generic;
+using HEAL.Attic;
 using HeuristicLab.Core;
 using HeuristicLab.Encodings.RealVectorEncoding;
 using HeuristicLab.Optimization;
-using HEAL.Attic;
 
 namespace HeuristicLab.Algorithms.MOCMAEvolutionStrategy {
@@ -36 +36 @@
     /// <param name="problem">The problem on which the front is evaluated (!! The function itself will NOT be evluated only bounds referencePoints & other metadata will be used</param>
     /// <returns>the index of the least contributing point according to any type of quality criteria</returns>
-    int LeastContributer(IReadOnlyList<Individual> front, MultiObjectiveBasicProblem<RealVectorEncoding> problem);
+    int LeastContributer(IReadOnlyList<Individual> front, MultiObjectiveProblem<RealVectorEncoding, RealVector> problem);
   }
 }

branches/2521_ProblemRefactoring/HeuristicLab.Algorithms.MOCMAEvolutionStrategy/3.3/Indicators/CrowdingIndicator.cs

@@ -23 +23 @@
 using System.Collections.Generic;
 using System.Linq;
+using HEAL.Attic;
 using HeuristicLab.Common;
 using HeuristicLab.Core;
 using HeuristicLab.Encodings.RealVectorEncoding;
 using HeuristicLab.Optimization;
-using HEAL.Attic;
 
 namespace HeuristicLab.Algorithms.MOCMAEvolutionStrategy {
@@ -41 +41 @@
     #endregion
 
-    public int LeastContributer(IReadOnlyList<Individual> front, MultiObjectiveBasicProblem<RealVectorEncoding> problem) {
+    public int LeastContributer(IReadOnlyList<Individual> front, MultiObjectiveProblem<RealVectorEncoding, RealVector> problem) {
       var bounds = problem.Encoding.Bounds;
       var extracted = front.Select(x => x.PenalizedFitness).ToArray();

branches/2521_ProblemRefactoring/HeuristicLab.Algorithms.MOCMAEvolutionStrategy/3.3/Indicators/HypervolumeIndicator.cs

@@ -23 +23 @@
 using System.Collections.Generic;
 using System.Linq;
+using HEAL.Attic;
 using HeuristicLab.Common;
 using HeuristicLab.Core;
 using HeuristicLab.Encodings.RealVectorEncoding;
 using HeuristicLab.Optimization;
-using HEAL.Attic;
 using HeuristicLab.Problems.TestFunctions.MultiObjective;
 namespace HeuristicLab.Algorithms.MOCMAEvolutionStrategy {
@@ -41 +41 @@
     #endregion
 
-    public int LeastContributer(IReadOnlyList<Individual> front, MultiObjectiveBasicProblem<RealVectorEncoding> problem) {
+    public int LeastContributer(IReadOnlyList<Individual> front, MultiObjectiveProblem<RealVectorEncoding, RealVector> problem) {
       var frontCopy = front.Select(x => x.PenalizedFitness).ToList();
       if (frontCopy.Count <= 1) return 0;
+      //TODO discuss with bwerth
       var p = problem as MultiObjectiveTestFunctionProblem;
       var refPoint = BuildReferencePoint(p != null ? frontCopy.Concat(new[] { p.ReferencePoint.CloneAsArray() }) : frontCopy, problem.Maximization);

branches/2521_ProblemRefactoring/HeuristicLab.Algorithms.MOCMAEvolutionStrategy/3.3/Indicators/MinimalDistanceIndicator.cs

@@ -23 +23 @@
 using System.Collections.Generic;
 using System.Linq;
+using HEAL.Attic;
 using HeuristicLab.Common;
 using HeuristicLab.Core;
 using HeuristicLab.Encodings.RealVectorEncoding;
 using HeuristicLab.Optimization;
-using HEAL.Attic;
 
 namespace HeuristicLab.Algorithms.MOCMAEvolutionStrategy {
@@ -42 +42 @@
     #endregion
 
-    public int LeastContributer(IReadOnlyList<Individual> front, MultiObjectiveBasicProblem<RealVectorEncoding> problem) {
+    public int LeastContributer(IReadOnlyList<Individual> front, MultiObjectiveProblem<RealVectorEncoding, RealVector> problem) {
       var extracted = front.Select(x => x.PenalizedFitness).ToArray();
       if (extracted.Length <= 2) return 0;

branches/2521_ProblemRefactoring/HeuristicLab.Algorithms.MOCMAEvolutionStrategy/3.3/Individual.cs

@@ -23 +23 @@
 using System;
 using System.Linq;
+using HEAL.Attic;
 using HeuristicLab.Common;
 using HeuristicLab.Encodings.RealVectorEncoding;
-using HEAL.Attic;
 using HeuristicLab.Random;
 

branches/2521_ProblemRefactoring/HeuristicLab.Algorithms.MOCMAEvolutionStrategy/3.3/MOCMAEvolutionStrategy.cs

@@ -25 +25 @@
 using System.Linq;
 using System.Threading;
+using HEAL.Attic;
 using HeuristicLab.Analysis;
 using HeuristicLab.Common;
@@ -32 +33 @@
 using HeuristicLab.Optimization;
 using HeuristicLab.Parameters;
-using HEAL.Attic;
 using HeuristicLab.Problems.TestFunctions.MultiObjective;
 using HeuristicLab.Random;
@@ -42 +42 @@
   public class MOCMAEvolutionStrategy : BasicAlgorithm {
     public override Type ProblemType {
-      get { return typeof(MultiObjectiveBasicProblem<RealVectorEncoding>); }
-    }
-    public new MultiObjectiveBasicProblem<RealVectorEncoding> Problem {
-      get { return (MultiObjectiveBasicProblem<RealVectorEncoding>)base.Problem; }
+      get { return typeof(MultiObjectiveProblem<RealVectorEncoding, RealVector>); }
+    }
+    public new MultiObjectiveProblem<RealVectorEncoding, RealVector> Problem {
+      get { return (MultiObjectiveProblem<RealVectorEncoding, RealVector>)base.Problem; }
       set { base.Problem = value; }
     }
@@ -361 +361 @@
         ResultsDifferenceBestKnownHypervolume = ResultsBestKnownHypervolume;
       }
-      ResultsScatterPlot = new ParetoFrontScatterPlot(new double[0][], new double[0][], problem.BestKnownFront.ToJaggedArray(), problem.Objectives, problem.ProblemSize);
+      ResultsScatterPlot = new ParetoFrontScatterPlot(new double[0][], new double[0][], problem.BestKnownFront.ToJaggedArray(), Problem.Objectives, Problem.Encoding.Length);
     }
     #endregion
@@ -409 +409 @@
     }
     private double[] Evaluate(RealVector x) {
-      var res = Problem.Evaluate(new SingleEncodingIndividual(Problem.Encoding, new Scope { Variables = { new Variable(Problem.Encoding.Name, x) } }), random);
+      var res = Problem.Evaluate(x, random);
       return res;
     }
@@ -495 +495 @@
       ResultsHypervolumeDifferenceDataLine.Values.Add(ResultsDifferenceBestKnownHypervolume);
 
-      Problem.Analyze(
-        solutions.Select(x => (Optimization.Individual)new SingleEncodingIndividual(Problem.Encoding, new Scope { Variables = { new Variable(Problem.Encoding.Name, x.Mean) } })).ToArray(),
+      Problem.Analyze(solutions.Select(x => x.Mean).ToArray(),
         solutions.Select(x => x.Fitness).ToArray(),
         Results,

branches/2521_ProblemRefactoring/HeuristicLab.Problems.TestFunctions.MultiObjective/3.3/MultiObjectiveTestFunctionProblem.cs

@@ -22 +22 @@
 using System.Collections.Generic;
 using System.Linq;
+using HEAL.Attic;
 using HeuristicLab.Common;
 using HeuristicLab.Core;
@@ -28 +29 @@
 using HeuristicLab.Optimization;
 using HeuristicLab.Parameters;
-using HEAL.Attic;
 using HeuristicLab.Problems.Instances;
 
@@ -35 +35 @@
   [Creatable(CreatableAttribute.Categories.Problems, Priority = 95)]
   [Item("Test Function (multi-objective)", "Test functions with real valued inputs and multiple objectives.")]
-  public class MultiObjectiveTestFunctionProblem : MultiObjectiveBasicProblem<RealVectorEncoding>, IProblemInstanceConsumer<MOTFData> {
+  public class MultiObjectiveTestFunctionProblem : MultiObjectiveProblem<RealVectorEncoding, RealVector>, IProblemInstanceConsumer<MOTFData> {
 
     #region Parameter Properties
-    public IValueParameter<BoolArray> MaximizationParameter {
-      get { return (IValueParameter<BoolArray>)Parameters["Maximization"]; }
-    }
     public IFixedValueParameter<IntValue> ProblemSizeParameter {
       get { return (IFixedValueParameter<IntValue>)Parameters["ProblemSize"]; }
@@ -65 +62 @@
     public override bool[] Maximization {
       get {
-        if (!Parameters.ContainsKey("Maximization")) return new bool[2];
-        return MaximizationParameter.Value.ToArray();
+        //necessary because of virtual member call in base ctor
+        if (!Parameters.ContainsKey("TestFunction")) return new bool[0];
+        return TestFunction.Maximization(Objectives).ToArray();
       }
     }
@@ -136 +134 @@
 
 
-    public override void Analyze(Individual[] individuals, double[][] qualities, ResultCollection results, IRandom random) {
-      base.Analyze(individuals, qualities, results, random);
+    public override void Analyze(RealVector[] solutions, double[][] qualities, ResultCollection results, IRandom random) {
+      base.Analyze(solutions, qualities, results, random);
       if (results.ContainsKey("Pareto Front")) {
         ((DoubleMatrix)results["Pareto Front"].Value).SortableView = true;
@@ -156 +154 @@
     }
 
-    public double[] Evaluate(RealVector individual) {
-      return TestFunction.Evaluate(individual, Objectives);
-    }
-
-    public override double[] Evaluate(Individual individual, IRandom random) {
-      return Evaluate(individual.RealVector());
-    }
+    public override double[] Evaluate(RealVector solution, IRandom random) {
+      return TestFunction.Evaluate(solution, Objectives);
+    }
+
 
     public void Load(MOTFData data) {

branches/2521_ProblemRefactoring/HeuristicLab.Problems.TestFunctions.MultiObjective/3.3/TestFunctions/Misc/Fonseca.cs

@@ -22 +22 @@
 using System;
 using System.Collections.Generic;
+using HEAL.Attic;
 using HeuristicLab.Common;
 using HeuristicLab.Core;
 using HeuristicLab.Encodings.RealVectorEncoding;
-using HEAL.Attic;
 
 namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
@@ -35 +35 @@
     }
 
-    protected override bool[] GetMaximization(int objecitves) {
+    protected override bool[] GetMaximization(int objectives) {
       return new bool[2];
     }

branches/2521_ProblemRefactoring/HeuristicLab.Problems.TestFunctions.Views/3.3/SingleObjectiveTestFunctionSolutionView.cs

@@ -148 +148 @@
       pictureBox.Refresh();
       DoubleMatrix bounds = Content.Bounds;
-      if (bounds == null) bounds = Content.Evaluator.Bounds;
+      if (bounds == null) bounds = Content.Bounds;
       double xMin = bounds[0, 0], xMax = bounds[0, 1], yMin = bounds[1 % bounds.Rows, 0], yMax = bounds[1 % bounds.Rows, 1];
       double xStep = backgroundImage.Width / (xMax - xMin), yStep = backgroundImage.Height / (yMax - yMin);