Changeset 17965 for trunk/HeuristicLab.Tests/HeuristicLab-3.3/Samples/ShapeConstrainedRegressionSampleTest.cs

Timestamp:

04/27/21 10:41:43 (3 years ago)

Author:

chaider

Message:

#3073 Added constraints for ShapeConstraintsSampleTest and fixed values

File:

• trunk/HeuristicLab.Tests/HeuristicLab-3.3/Samples/ShapeConstrainedRegressionSampleTest.cs (modified) (5 diffs)

trunk/HeuristicLab.Tests/HeuristicLab-3.3/Samples/ShapeConstrainedRegressionSampleTest.cs

@@ -19 +19 @@
  */
 #endregion
+
+using System;
 using System.IO;
 using System.Linq;
@@ -24 +26 @@
 using HeuristicLab.Algorithms.GeneticAlgorithm;
 using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
+using HeuristicLab.Problems.DataAnalysis;
 using HeuristicLab.Problems.DataAnalysis.Symbolic.Regression;
 using HeuristicLab.Problems.Instances.DataAnalysis;
@@ -36 +39 @@
 
     [TestMethod]
-    [TestCategory("Samples.Create")]
-    [TestProperty("Time", "medium")]
-    public void CreateShapeConstrainedRegressionSampleTest() {
-      var ga = CreateShapeConstrainedRegressionSample();
-      string path = Path.Combine(SamplesUtils.SamplesDirectory, SampleFileName + SamplesUtils.SampleFileExtension);
-      serializer.Serialize(ga, path);
-    }
-    [TestMethod]
     [TestCategory("Samples.Execute")]
     [TestProperty("Time", "long")]
@@ -51 +46 @@
       SamplesUtils.RunAlgorithm(ga);
 
-      Assert.AreEqual(0.0780908301423225, SamplesUtils.GetDoubleResult(ga, "BestQuality"), 1E-8);
-      Assert.AreEqual(0.381314019205066, SamplesUtils.GetDoubleResult(ga, "CurrentAverageQuality"), 1E-8);
-      Assert.AreEqual(1.0000000000000002, SamplesUtils.GetDoubleResult(ga, "CurrentWorstQuality"), 1E-8);
+      Assert.AreEqual(0.317642788600248, SamplesUtils.GetDoubleResult(ga, "BestQuality"), 1E-8);
+      Assert.AreEqual(40.9805778810063, SamplesUtils.GetDoubleResult(ga, "CurrentAverageQuality"), 1E-8);
+      Assert.AreEqual(3359.91748220025, SamplesUtils.GetDoubleResult(ga, "CurrentWorstQuality"), 1E-8);
       Assert.AreEqual(150200, SamplesUtils.GetIntResult(ga, "EvaluatedSolutions"));
     }
@@ -63 +58 @@
       var problem = new ShapeConstrainedRegressionSingleObjectiveProblem();
       problem.Load(provider.LoadData(instance));
+      var problemData = (IShapeConstrainedRegressionProblemData)problem.ProblemData;
+      problemData.ShapeConstraints.Add(new ShapeConstraint(new Interval(double.NegativeInfinity, 0), 1.0));
+      problemData.ShapeConstraints.Add(new ShapeConstraint("G", 1, new Interval(double.NegativeInfinity, 0), 1.0));
+      problemData.ShapeConstraints.Add(new ShapeConstraint("c", 1, new Interval(0, double.PositiveInfinity), 1.0));
+      problemData.ShapeConstraints.Add(new ShapeConstraint("m1", 1, new Interval(double.NegativeInfinity, 0), 1.0));
+      problemData.ShapeConstraints.Add(new ShapeConstraint("m2", 1, new Interval(double.NegativeInfinity, 0), 1.0));
+      problemData.ShapeConstraints.Add(new ShapeConstraint("r", 1, new Interval(0, double.PositiveInfinity), 1.0));
+
+      problemData.VariableRanges.SetInterval("G", new Interval(1, 2));
+      problemData.VariableRanges.SetInterval("c", new Interval(1, 2));
+      problemData.VariableRanges.SetInterval("m1", new Interval(1, 5));
+      problemData.VariableRanges.SetInterval("m2", new Interval(1, 5));
+      problemData.VariableRanges.SetInterval("r", new Interval(1, 2));
+      problem.ProblemData = problemData;
+
 
       #region Algorithm Configuration