#region License Information
/* HeuristicLab
* Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
*
* This file is part of HeuristicLab.
*
* HeuristicLab is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* HeuristicLab is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with HeuristicLab. If not, see .
*/
#endregion
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Encodings.RealVectorEncoding;
using HeuristicLab.Tests;
using Microsoft.VisualStudio.TestTools.UnitTesting;
namespace HeuristicLab.Encodings.RealVectorEncoding_33.Tests {
///
///This is a test class for BlendAlphaCrossoverTest and is intended
///to contain all BlendAlphaCrossoverTest Unit Tests
///
[TestClass()]
public class BlendAlphaCrossoverTest {
private TestContext testContextInstance;
///
///Gets or sets the test context which provides
///information about and functionality for the current test run.
///
public TestContext TestContext {
get {
return testContextInstance;
}
set {
testContextInstance = value;
}
}
#region Additional test attributes
//
//You can use the following additional attributes as you write your tests:
//
//Use ClassInitialize to run code before running the first test in the class
//[ClassInitialize()]
//public static void MyClassInitialize(TestContext testContext)
//{
//}
//
//Use ClassCleanup to run code after all tests in a class have run
//[ClassCleanup()]
//public static void MyClassCleanup()
//{
//}
//
//Use TestInitialize to run code before running each test
//[TestInitialize()]
//public void MyTestInitialize()
//{
//}
//
//Use TestCleanup to run code after each test has run
//[TestCleanup()]
//public void MyTestCleanup()
//{
//}
//
#endregion
///
///A test for Cross
///
[TestMethod()]
[DeploymentItem("HeuristicLab.Encodings.RealVectorEncoding-3.3.dll")]
public void BlendAlphaCrossoverCrossTest() {
BlendAlphaCrossover_Accessor target = new BlendAlphaCrossover_Accessor(new PrivateObject(typeof(BlendAlphaCrossover)));
ItemArray parents;
TestRandom random = new TestRandom();
bool exceptionFired;
// The following test checks if there is an exception when there are more than 2 parents
random.Reset();
parents = new ItemArray(new RealVector[] { new RealVector(5), new RealVector(6), new RealVector(4) });
exceptionFired = false;
try {
RealVector actual;
actual = target.Cross(random, parents);
}
catch (System.ArgumentException) {
exceptionFired = true;
}
Assert.IsTrue(exceptionFired);
// The following test checks if there is an exception when there are less than 2 parents
random.Reset();
parents = new ItemArray(new RealVector[] { new RealVector(4) });
exceptionFired = false;
try {
RealVector actual;
actual = target.Cross(random, parents);
}
catch (System.ArgumentException) {
exceptionFired = true;
}
Assert.IsTrue(exceptionFired);
}
///
///A test for Apply
///
[TestMethod()]
public void BlendAlphaCrossoverApplyTest() {
TestRandom random = new TestRandom();
RealVector parent1, parent2, expected, actual;
DoubleValue alpha;
bool exceptionFired;
// The following test is not based on published examples
random.Reset();
random.DoubleNumbers = new double[] { 0.5, 0.5, 0.5, 0.5, 0.5 };
alpha = new DoubleValue(0.5);
parent1 = new RealVector(new double[] { 0.2, 0.2, 0.3, 0.5, 0.1 });
parent2 = new RealVector(new double[] { 0.4, 0.1, 0.3, 0.2, 0.8 });
expected = new RealVector(new double[] { 0.3, 0.15, 0.3, 0.35, 0.45 });
actual = BlendAlphaCrossover.Apply(random, parent1, parent2, alpha);
Assert.IsTrue(Auxiliary.RealVectorIsAlmostEqualByPosition(actual, expected));
// The following test is not based on published examples
random.Reset();
random.DoubleNumbers = new double[] { 0.25, 0.75, 0.25, 0.75, 0.25 };
alpha = new DoubleValue(0.25);
parent1 = new RealVector(new double[] { 0.2, 0.2, 0.3, 0.5, 0.1 });
parent2 = new RealVector(new double[] { 0.4, 0.1, 0.3, 0.2, 0.8 });
expected = new RealVector(new double[] { 0.225, 0.1875, 0.3, 0.4625, 0.1875 });
actual = BlendAlphaCrossover.Apply(random, parent1, parent2, alpha);
Assert.IsTrue(Auxiliary.RealVectorIsAlmostEqualByPosition(actual, expected));
// The following test is not based on published examples
random.Reset();
random.DoubleNumbers = new double[] { 0.25, 0.75, 0.25, 0.75, 0.25 };
alpha = new DoubleValue(-0.25); // negative values for alpha are not allowed
parent1 = new RealVector(new double[] { 0.2, 0.2, 0.3, 0.5, 0.1 });
parent2 = new RealVector(new double[] { 0.4, 0.1, 0.3, 0.2, 0.8 });
expected = new RealVector(new double[] { 0.225, 0.1875, 0.3, 0.4625, 0.1875 });
exceptionFired = false;
try {
actual = BlendAlphaCrossover.Apply(random, parent1, parent2, alpha);
}
catch (System.ArgumentException) {
exceptionFired = true;
}
Assert.IsTrue(exceptionFired);
// The following test is not based on published examples
random.Reset();
random.DoubleNumbers = new double[] { 0.25, 0.75, 0.25, 0.75, 0.25, .75 };
alpha = new DoubleValue(0.25);
parent1 = new RealVector(new double[] { 0.2, 0.2, 0.3, 0.5, 0.1, 0.9 }); // this parent is longer
parent2 = new RealVector(new double[] { 0.4, 0.1, 0.3, 0.2, 0.8 });
expected = new RealVector(new double[] { 0.225, 0.1875, 0.3, 0.4625, 0.1875 });
exceptionFired = false;
try {
actual = BlendAlphaCrossover.Apply(random, parent1, parent2, alpha);
}
catch (System.ArgumentException) {
exceptionFired = true;
}
Assert.IsTrue(exceptionFired);
}
///
///A test for BlendAlphaCrossover Constructor
///
[TestMethod()]
public void BlendAlphaCrossoverConstructorTest() {
BlendAlphaCrossover target = new BlendAlphaCrossover();
}
}
}