Changeset 14526 for branches/HeuristicLab.GoalSeekingProblem/HeuristicLab.GoalSeekingProblem/3.4/SingleObjectiveGoalSeekingProblem.cs

Timestamp:

12/22/16 16:52:32 (4 years ago)

Author:

bburlacu

Message:

#2679: Add analyzer for SingleObjectiveGoalSeekingProblem. Add result aggregation in the GoalSeekingOptimizer. Remove unused dataset parameter from the problems.

File:

• branches/HeuristicLab.GoalSeekingProblem/HeuristicLab.GoalSeekingProblem/3.4/SingleObjectiveGoalSeekingProblem.cs (modified) (4 diffs)

branches/HeuristicLab.GoalSeekingProblem/HeuristicLab.GoalSeekingProblem/3.4/SingleObjectiveGoalSeekingProblem.cs

@@ -26 +26 @@
 using HeuristicLab.Common;
 using HeuristicLab.Core;
+using HeuristicLab.Data;
 using HeuristicLab.Encodings.RealVectorEncoding;
 using HeuristicLab.Optimization;
@@ -38 +39 @@
   public sealed class SingleObjectiveGoalSeekingProblem : SingleObjectiveBasicProblem<RealVectorEncoding>, IGoalSeekingProblem {
     #region parameter names
-    private const string ModifiableDatasetParameterName = "Dataset";
     private const string InputsParameterName = "Inputs";
     private const string GoalsParameterName = "Goals";
@@ -136 +136 @@
     public SingleObjectiveGoalSeekingProblem() {
       dataset = new ModifiableDataset();
-      Parameters.Add(new ValueParameter<IDataset>(ModifiableDatasetParameterName, dataset) { Hidden = true });
       Parameters.Add(new ValueParameter<CheckedItemList<InputParameter>>(InputsParameterName));
       Parameters.Add(new ValueParameter<CheckedItemList<GoalParameter>>(GoalsParameterName));
@@ -161 +160 @@
       return quality;
     }
+
+    public override void Analyze(Individual[] individuals, double[] qualities, ResultCollection results, IRandom random) {
+      var zipped = individuals.Zip(qualities, (ind, qual) => new { Individual = ind, Quality = qual }).OrderBy(x => x.Quality);
+      var best = Maximization ? zipped.Last() : zipped.First();
+      var realVector = best.Individual.RealVector();
+      const string resultName = "Best Solution";
+
+      var columnNames = new List<string>();
+      foreach (var goal in ActiveGoals) {
+        columnNames.Add(goal.Name);
+        columnNames.Add(goal.Name + " (estimated)");
+      }
+      foreach (var input in ActiveInputs) {
+        columnNames.Add(input.Name);
+        columnNames.Add(input.Name + " (estimated)");
+        columnNames.Add(input.Name + " (deviation)");
+      }
+
+      var m = new DoubleMatrix(1, columnNames.Count) { ColumnNames = columnNames };
+      int i = 0;
+
+      var goals = ActiveGoals.Zip(GetEstimatedGoalValues(realVector, round: true),
+        (goal, value) => new { TargetValue = goal.Goal, EstimatedValue = value });
+
+      foreach (var goal in goals) {
+        m[0, i] = goal.TargetValue;
+        m[0, i + 1] = goal.EstimatedValue;
+        i += 2;
+      }
+
+      var inputs = ActiveInputs.Zip(realVector,
+        (input, value) => new { ActualValue = input.Value, EstimatedValue = value });
+
+      foreach (var input in inputs) {
+        m[0, i] = input.ActualValue;
+        m[0, i + 1] = input.EstimatedValue;
+        m[0, i + 2] = m[0, i] - m[0, i + 1];
+        i += 3;
+      }
+
+      if (!results.ContainsKey(resultName)) {
+        results.Add(new Result(resultName, m));
+      } else {
+        results[resultName].Value = m;
+      }
+
+      base.Analyze(individuals, qualities, results, random);
+    }
+
     #region event handlers
-
     private void RegisterEvents() {
       ModelsParameter.Value.ItemsAdded += ModelCollection_ItemsChanged;