Changeset 17669

Timestamp:

07/16/20 08:42:17 (4 years ago)

Author:

dleko

Message:

#2825 Add scatter plot for resulting fitness values.

Location:

branches/2825-NSGA3/HeuristicLab.Algorithms.NSGA3/3.3

Files:

• NSGA3.cs (modified) (6 diffs)
• ReferencePoint.cs (modified) (1 diff)

branches/2825-NSGA3/HeuristicLab.Algorithms.NSGA3/3.3/NSGA3.cs

@@ -68 +68 @@
 
         private const string SeedName = "Seed";
-        private const string SetSeedRandomlyName = "SetSeedRandomly";
-        private const string PopulationSizeName = "PopulationSize";
-        private const string CrossoverProbabilityName = "CrossoverProbability";
-        private const string CrossoverContiguityName = "CrossoverContiguity";
-        private const string MutationProbabilityName = "MutationProbability";
-        private const string MaximumGenerationsName = "MaximumGenerations";
-        private const string DominateOnEqualQualitiesName = "DominateOnEqualQualities";
+        private const string SetSeedRandomlyName = "Set Seed Randomly";
+        private const string PopulationSizeName = "Population Size";
+        private const string CrossoverProbabilityName = "Crossover Probability";
+        private const string CrossoverContiguityName = "Crossover Contiguity";
+        private const string MutationProbabilityName = "Mutation Probability";
+        private const string MaximumGenerationsName = "Maximum Generations";
+        private const string DominateOnEqualQualitiesName = "Dominate On Equal Qualities";
 
         // Results Names
@@ -80 +80 @@
         private const string GeneratedReferencePointsResultName = "Generated Reference Points";
         private const string CurrentGenerationResultName = "Generations";
+        private const string ScatterPlotResultName = "Scatter Plot";
         private const string CurrentFrontResultName = "Pareto Front"; // Do not touch this
 
@@ -173 +174 @@
             get { return (IntValue)Results[CurrentGenerationResultName].Value; }
             set { Results[CurrentGenerationResultName].Value = value; }
+        }
+
+        public ParetoFrontScatterPlot ResultsScatterPlot
+        {
+            get { return (ParetoFrontScatterPlot)Results[ScatterPlotResultName].Value; }
+            set { Results[ScatterPlotResultName].Value = value; }
         }
 
@@ -262 +269 @@
             Results.Add(new Result(CurrentFrontResultName, "The Pareto Front", new DoubleMatrix()));
             Results.Add(new Result(CurrentGenerationResultName, "The current generation", new IntValue(1)));
+            Results.Add(new Result(ScatterPlotResultName, "A scatterplot displaying the evaluated solutions and (if available) the analytically optimal front", new ParetoFrontScatterPlot()));
+
+            var problem = Problem as MultiObjectiveTestFunctionProblem;
+            if (problem == null) return;
+            // todo: add BestKnownFront parameter
+            ResultsScatterPlot = new ParetoFrontScatterPlot(new double[0][], new double[0][], null, problem.Objectives, problem.ProblemSize);
         }
 
@@ -283 +296 @@
 
                     ResultsCurrentGeneration.Value++;
+                    Analyze();
                 }
                 catch (Exception ex)
@@ -308 +322 @@
         private void Analyze()
         {
+            ResultsScatterPlot = new ParetoFrontScatterPlot(solutions.Select(x => x.Fitness).ToArray(), solutions.Select(x => x.Chromosome.ToArray()).ToArray(), ResultsScatterPlot.ParetoFront, ResultsScatterPlot.Objectives, ResultsScatterPlot.ProblemSize);
             ResultsSolutions = solutions.Select(s => s.Chromosome.ToArray()).ToMatrix();
             Problem.Analyze(

branches/2825-NSGA3/HeuristicLab.Algorithms.NSGA3/3.3/ReferencePoint.cs

@@ -80 +80 @@
             }
 
-            int nRefPoints = GetNumberOfGeneratedReferencePoints(nDim, outerDiv, innerDiv);
-            return nRefPoints;
-            //return GetNumberOfGeneratedReferencePoints(nDim, outerDiv, innerDiv);
+            return GetNumberOfGeneratedReferencePoints(nDim, outerDiv, innerDiv);
         }