Changeset 3781 for trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/Evaluators

Timestamp:

05/11/10 19:18:32 (15 years ago)

Author:

abeham

Message:

#934

• added BestKnownSolution to test functions
• added unit tests

Location:

trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/Evaluators

Files:

• AckleyEvaluator.cs (modified) (1 diff)
• BealeEvaluator.cs (modified) (1 diff)
• BoothEvaluator.cs (modified) (1 diff)
• GriewankEvaluator.cs (modified) (1 diff)
• LevyEvaluator.cs (modified) (2 diffs)
• MatyasEvaluator.cs (modified) (1 diff)
• RastriginEvaluator.cs (modified) (1 diff)
• RosenbrockEvaluator.cs (modified) (1 diff)
• SchwefelEvaluator.cs (modified) (2 diffs)
• SingleObjectiveTestFunctionProblemEvaluator.cs (modified) (1 diff)
• SphereEvaluator.cs (modified) (1 diff)
• SumSquaresEvaluator.cs (modified) (1 diff)
• ZakharovEvaluator.cs (modified) (1 diff)

trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/Evaluators/AckleyEvaluator.cs

@@ -66 +66 @@
     }
 
+    public override RealVector GetBestKnownSolution(int dimension) {
+      return new RealVector(dimension);
+    }
+
     /// <summary>
     /// Evaluates the Ackley function for a specific <paramref name="point"/>.

trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/Evaluators/BealeEvaluator.cs

@@ -66 +66 @@
     }
 
+    public override RealVector GetBestKnownSolution(int dimension) {
+      if (dimension != 2) throw new ArgumentException(Name + ": This function is only defined for 2 dimensions.", "dimension");
+      return new RealVector(new double[] { 3, 0.5 });
+    }
     /// <summary>
     /// Evaluates the test function for a specific <paramref name="point"/>.

trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/Evaluators/BoothEvaluator.cs

@@ -65 +65 @@
     }
 
+    public override RealVector GetBestKnownSolution(int dimension) {
+      if (dimension != 2) throw new ArgumentException(Name + ": This function is only defined for 2 dimensions.", "dimension");
+      return new RealVector(new double[] { 1, 3 });
+    }
     /// <summary>
     /// Evaluates the test function for a specific <paramref name="point"/>.

trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/Evaluators/GriewankEvaluator.cs

@@ -67 +67 @@
     }
 
+    public override RealVector GetBestKnownSolution(int dimension) {
+      return new RealVector(dimension);
+    }
     /// <summary>
     /// If dimension of the problem is less or equal than 100 the values of Math.Sqrt(i + 1) are precomputed.

trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/Evaluators/LevyEvaluator.cs

@@ -65 +65 @@
     }
 
+    public override RealVector GetBestKnownSolution(int dimension) {
+      if (dimension < 2) throw new ArgumentException(Name + ": This function is not defined for 1 dimension.");
+      RealVector result = new RealVector(dimension);
+      for (int i = 0; i < dimension; i++) result[i] = 1;
+      return result;
+    }
     /// <summary>
     /// Evaluates the test function for a specific <paramref name="point"/>.
@@ -80 +86 @@
 
       s = Math.Sin(Math.PI * z[0]);
+      if (Math.Abs(s) < 1e-15) s = 0; // Math.Sin(Math.PI) == 0.00000000000000012246063538223773
       s *= s;
 

trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/Evaluators/MatyasEvaluator.cs

@@ -65 +65 @@
     }
 
+    public override RealVector GetBestKnownSolution(int dimension) {
+      if (dimension != 2) throw new ArgumentException(Name + ": This function is only defined for 2 dimensions.", "dimension");
+      return new RealVector(dimension);
+    }
     /// <summary>
     /// Evaluates the test function for a specific <paramref name="point"/>.

trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/Evaluators/RastriginEvaluator.cs

@@ -80 +80 @@
     }
 
+    public override RealVector GetBestKnownSolution(int dimension) {
+      return new RealVector(dimension);
+    }
+
     /// <summary>
     /// Initializes a new instance of the RastriginEvaluator with one parameter (<c>A</c>).

trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/Evaluators/RosenbrockEvaluator.cs

@@ -69 +69 @@
     }
 
+    public override RealVector GetBestKnownSolution(int dimension) {
+      if (dimension < 2) throw new ArgumentException(Name + ": This function is not defined for 1 dimension.");
+      RealVector result = new RealVector(dimension);
+      for (int i = 0; i < dimension; i++) result[i] = 1;
+      return result;
+    }
+
     /// <summary>
     /// Evaluates the test function for a specific <paramref name="point"/>.

trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/Evaluators/SchwefelEvaluator.cs

@@ -31 +31 @@
   /// The Schwefel function (sine root) is implemented as described in Affenzeller, M. and Wagner, S. 2005. Offspring Selection: A New Self-Adaptive Selection Scheme for Genetic Algorithms.  Ribeiro, B., Albrecht, R. F., Dobnikar, A., Pearson, D. W., and Steele, N. C. (eds.). Adaptive and Natural Computing Algorithms, pp. 218-221, Springer.
   /// </summary>
-  [Item("SchwefelEvaluator", "Evaluates the Schwefel function (sine root) on a given point. The optimum of this function is 0 at (420.968746453712,420.968746453712,...,420.968746453712). It is implemented as described in Affenzeller, M. and Wagner, S. 2005. Offspring Selection: A New Self-Adaptive Selection Scheme for Genetic Algorithms.  Ribeiro, B., Albrecht, R. F., Dobnikar, A., Pearson, D. W., and Steele, N. C. (eds.). Adaptive and Natural Computing Algorithms, pp. 218-221, Springer.")]
+  [Item("SchwefelEvaluator", "Evaluates the Schwefel function (sine root) on a given point. In the given bounds [-500;500] the optimum of this function is close to 0 at (420.968746453712,420.968746453712,...,420.968746453712). It is implemented as described in Affenzeller, M. and Wagner, S. 2005. Offspring Selection: A New Self-Adaptive Selection Scheme for Genetic Algorithms.  Ribeiro, B., Albrecht, R. F., Dobnikar, A., Pearson, D. W., and Steele, N. C. (eds.). Adaptive and Natural Computing Algorithms, pp. 218-221, Springer.")]
   [StorableClass]
   public class SchwefelEvaluator : SingleObjectiveTestFunctionProblemEvaluator {
@@ -65 +65 @@
     }
 
+    public override RealVector GetBestKnownSolution(int dimension) {
+      return null;
+    }
+
     /// <summary>
     /// Evaluates the test function for a specific <paramref name="point"/>.

trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/Evaluators/SingleObjectiveTestFunctionProblemEvaluator.cs

@@ -87 +87 @@
       return EvaluateFunction(new RealVector(new double[] { x, y }));
     }
+    /// <summary>
+    /// Gets the best known solution for this function.
+    /// </summary>
+    public abstract RealVector GetBestKnownSolution(int dimension);
 
     /// <summary>

trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/Evaluators/SphereEvaluator.cs

@@ -66 +66 @@
       get { return int.MaxValue; }
     }
+
+    public override RealVector GetBestKnownSolution(int dimension) {
+      return new RealVector(dimension);
+    }
+
     /// <summary>
     /// The parameter C modifies the steepness of the objective function y = C * ||X||^Alpha. Default is C = 1.

trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/Evaluators/SumSquaresEvaluator.cs

@@ -65 +65 @@
     }
 
+    public override RealVector GetBestKnownSolution(int dimension) {
+      return new RealVector(dimension);
+    }
+
     /// <summary>
     /// Evaluates the test function for a specific <paramref name="point"/>.

trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/Evaluators/ZakharovEvaluator.cs

@@ -65 +65 @@
     }
 
+    public override RealVector GetBestKnownSolution(int dimension) {
+      return new RealVector(dimension);
+    }
+
     /// <summary>
     /// Evaluates the test function for a specific <paramref name="point"/>.