Changeset 3187 for trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/Evaluators/SumSquaresEvaluator.cs

Timestamp:

03/22/10 22:58:43 (15 years ago)

Author:

abeham

Message:

Added move operators for real encoding and test functions #890

File:

• trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/Evaluators/SumSquaresEvaluator.cs (modified) (5 diffs)

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

@@ -1 +1 @@
 #region License Information
 /* HeuristicLab
- * Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
  *
  * This file is part of HeuristicLab.
@@ -21 +21 @@
 
 using System;
-using System.Collections.Generic;
-using System.Text;
+using HeuristicLab.Core;
+using HeuristicLab.Data;
+using HeuristicLab.Encodings.RealVectorEncoding;
+using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
 
-namespace HeuristicLab.TestFunctions {
+namespace HeuristicLab.Problems.TestFunctions {
   /// <summary>
   /// Sum Squares Function<br/>
@@ -30 +32 @@
   /// Optimum: 0.0 at (0.0, 0.0, ..., 0.0)
   /// </summary>
-  public class SumSquaresEvaluator : TestFunctionEvaluatorBase {
-    /// <inheritdoc select="summary"/>
-    public override string Description {
-      get { return
-@"Sum Squares Function
-
-Domain:  [-10.0 , 10.0]^n
-Optimum: 0.0 at (0.0, 0.0, ..., 0.0)";
-          }
+  [Item("SumSquaresEvaluator", "Evaluates the sum squares function on a given point. The optimum of this function is 0 at the origin.")]
+  [StorableClass]
+  public class SumSquaresEvaluator : SingleObjectiveTestFunctionProblemEvaluator {
+    /// <summary>
+    /// Returns false as the Rosenbrock function is a minimization problem.
+    /// </summary>
+    public override bool Maximization {
+      get { return false; }
+    }
+    /// <summary>
+    /// Gets the optimum function value (0).
+    /// </summary>
+    public override double BestKnownQuality {
+      get { return 0; }
+    }
+    /// <summary>
+    /// Gets the lower and upper bound of the function.
+    /// </summary>
+    public override DoubleMatrix Bounds {
+      get { return new DoubleMatrix(new double[,] { { -10, 10 } }); }
+    }
+    /// <summary>
+    /// Gets the minimum problem size (1).
+    /// </summary>
+    public override int MinimumProblemSize {
+      get { return 1; }
+    }
+    /// <summary>
+    /// Gets the (theoretical) maximum problem size (2^31 - 1).
+    /// </summary>
+    public override int MaximumProblemSize {
+      get { return int.MaxValue; }
     }
 
@@ -46 +71 @@
     /// <param name="point">N-dimensional point for which the test function should be evaluated.</param>
     /// <returns>The result value of the Sum Squares function at the given point.</returns>
-    public static double Apply(double[] point) {
+    public static double Apply(RealVector point) {
       double result = 0;
       for (int i = 0; i < point.Length; i++) {
@@ -60 +85 @@
     /// <param name="point">N-dimensional point for which the test function should be evaluated.</param>
     /// <returns>The result value of the Sum Squares function at the given point.</returns>
-    protected override double EvaluateFunction(double[] point) {
+    protected override double EvaluateFunction(RealVector point) {
       return Apply(point);
     }