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source: branches/2839_HiveProjectManagement/HeuristicLab.Tests/HeuristicLab.Problems.TestFunctions-3.3/SumSquaresEvaluatorTest.cs @ 17868

Last change on this file since 17868 was 16057, checked in by jkarder, 6 years ago

#2839:

File size: 1.9 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using HeuristicLab.Encodings.RealVectorEncoding;
23using Microsoft.VisualStudio.TestTools.UnitTesting;
24
25namespace HeuristicLab.Problems.TestFunctions.Tests {
26  /// <summary>
27  ///This is a test class for SumSquaresEvaluatorTest and is intended
28  ///to contain all SumSquaresEvaluatorTest Unit Tests
29  ///</summary>
30  [TestClass()]
31  public class SumSquaresEvaluatorTest {
32    /// <summary>
33    ///A test for EvaluateFunction
34    ///</summary>
35    [TestMethod]
36    [TestCategory("Problems.TestFunctions")]
37    [TestProperty("Time", "short")]
38    public void SumSquaresEvaluateFunctionTest() {
39      SumSquaresEvaluator target = new SumSquaresEvaluator();
40      RealVector point = null;
41      double expected = target.BestKnownQuality;
42      double actual;
43      for (int dimension = target.MinimumProblemSize; dimension <= System.Math.Min(10, target.MaximumProblemSize); dimension++) {
44        point = target.GetBestKnownSolution(dimension);
45        actual = target.Evaluate(point);
46        Assert.AreEqual(expected, actual);
47      }
48    }
49  }
50}
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