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| 1 | +using System.Collections.Generic; |
| 2 | +using System.Linq; |
| 3 | +using FakeItEasy; |
| 4 | +using GeneticAlgorithm.Components.Chromosomes; |
| 5 | +using GeneticAlgorithm.Components.CrossoverManagers; |
| 6 | +using GeneticAlgorithm.Components.Interfaces; |
| 7 | +using GeneticAlgorithm.Components.PopulationGenerators; |
| 8 | +using GeneticAlgorithm.Interfaces; |
| 9 | +using Microsoft.VisualStudio.TestTools.UnitTesting; |
| 10 | + |
| 11 | +namespace GeneticAlgorithm.UnitTests.Components |
| 12 | +{ |
| 13 | + [TestClass] |
| 14 | + public class CrossoverManagerTests |
| 15 | + { |
| 16 | + private const int TEST_RUNS = 20; |
| 17 | + private const int SMALL_CHROMOSOME_SIZE = 10; |
| 18 | + private const int LARGE_CHROMOSOME_SIZE = 20; |
| 19 | + |
| 20 | + private readonly IPopulationGenerator smallPopulationGenerator1 = |
| 21 | + new IntVectorChromosomePopulationGenerator(SMALL_CHROMOSOME_SIZE, 0, 10, A.Fake<IMutationManager<int>>(), |
| 22 | + A.Fake<IEvaluator>()); |
| 23 | + private readonly IPopulationGenerator smallPopulationGenerator2 = |
| 24 | + new IntVectorChromosomePopulationGenerator(SMALL_CHROMOSOME_SIZE, 11, 20, A.Fake<IMutationManager<int>>(), |
| 25 | + A.Fake<IEvaluator>()); |
| 26 | + private readonly IPopulationGenerator largePopulationGenerator = |
| 27 | + new IntVectorChromosomePopulationGenerator(LARGE_CHROMOSOME_SIZE, 21, 30, A.Fake<IMutationManager<int>>(), |
| 28 | + A.Fake<IEvaluator>()); |
| 29 | + |
| 30 | + [TestMethod] |
| 31 | + [DataRow(1)] |
| 32 | + [DataRow(2)] |
| 33 | + [DataRow(5)] |
| 34 | + [DataRow(SMALL_CHROMOSOME_SIZE - 1)] |
| 35 | + public void K_PointCrossoverTest(int k) |
| 36 | + { |
| 37 | + var crossoverManager = new K_PointCrossoverManager<int>(k, A.Fake<IMutationManager<int>>(), A.Fake<IEvaluator>()); |
| 38 | + for (int i = 0; i < TEST_RUNS; i++) |
| 39 | + { |
| 40 | + var chromosome1 = (VectorChromosome<int>) smallPopulationGenerator1.GeneratePopulation(1).First(); |
| 41 | + var chromosome2 = (VectorChromosome<int>) smallPopulationGenerator2.GeneratePopulation(1).First(); |
| 42 | + var newChromosome = (VectorChromosome<int>) crossoverManager.Crossover(chromosome1, chromosome2); |
| 43 | + |
| 44 | + var crossoverPoints = K_CrossoverGetCrossoverPointsAndAssertThatGenomesAreRight(newChromosome, chromosome2, chromosome1); |
| 45 | + Assert.AreEqual(k, crossoverPoints.Count, |
| 46 | + $"Found wrong number of crossoverPoints. 1: {chromosome1}; 2 {chromosome2}; newChromosome {newChromosome}"); |
| 47 | + } |
| 48 | + } |
| 49 | + |
| 50 | + [TestMethod] |
| 51 | + [DataRow(1)] |
| 52 | + [DataRow(2)] |
| 53 | + [DataRow(5)] |
| 54 | + [DataRow(SMALL_CHROMOSOME_SIZE - 1)] |
| 55 | + public void K_PointCrossover_ShortAndLongChromosomes(int k) |
| 56 | + { |
| 57 | + var crossoverManager = new K_PointCrossoverManager<int>(k, A.Fake<IMutationManager<int>>(), A.Fake<IEvaluator>()); |
| 58 | + for (int i = 0; i < TEST_RUNS; i++) |
| 59 | + { |
| 60 | + var chromosome1 = (VectorChromosome<int>)smallPopulationGenerator1.GeneratePopulation(1).First(); |
| 61 | + var chromosome2 = (VectorChromosome<int>)largePopulationGenerator.GeneratePopulation(1).First(); |
| 62 | + var newChromosome = (VectorChromosome<int>)crossoverManager.Crossover(chromosome1, chromosome2); |
| 63 | + |
| 64 | + var crossoverPoints = K_CrossoverGetCrossoverPointsAndAssertThatGenomesAreRight(newChromosome, chromosome2, chromosome1); |
| 65 | + Assert.AreEqual(k, crossoverPoints.Count, |
| 66 | + $"Found wrong number of crossoverPoints. 1: {chromosome1}; 2 {chromosome2}; newChromosome {newChromosome}"); |
| 67 | + } |
| 68 | + } |
| 69 | + |
| 70 | + [TestMethod] |
| 71 | + public void K_PointCrossover_CrossoverPointsAreDiffrent() |
| 72 | + { |
| 73 | + var crossoverPoints = new List<int>(); |
| 74 | + var crossoverManager = new K_PointCrossoverManager<int>(2, A.Fake<IMutationManager<int>>(), A.Fake<IEvaluator>()); |
| 75 | + for (int i = 0; i < 100; i++) |
| 76 | + { |
| 77 | + var chromosome1 = (VectorChromosome<int>)smallPopulationGenerator1.GeneratePopulation(1).First(); |
| 78 | + var chromosome2 = (VectorChromosome<int>)smallPopulationGenerator2.GeneratePopulation(1).First(); |
| 79 | + var newChromosome = (VectorChromosome<int>)crossoverManager.Crossover(chromosome1, chromosome2); |
| 80 | + |
| 81 | + crossoverPoints.AddRange(K_CrossoverGetCrossoverPointsAndAssertThatGenomesAreRight(newChromosome, chromosome2, chromosome1)); |
| 82 | + } |
| 83 | + |
| 84 | + for (int i = 1; i < SMALL_CHROMOSOME_SIZE; i++) |
| 85 | + Assert.IsTrue(crossoverPoints.Contains(i), $"{nameof(crossoverPoints)} dosn't contain {i}"); |
| 86 | + } |
| 87 | + |
| 88 | + [TestMethod] |
| 89 | + public void SinglePointCrossoverManagerTest() |
| 90 | + { |
| 91 | + var crossoverManager = new SinglePointCrossoverManager<int>(A.Fake<IMutationManager<int>>(), A.Fake<IEvaluator>()); |
| 92 | + for (int i = 0; i < TEST_RUNS; i++) |
| 93 | + { |
| 94 | + var chromosome1 = (VectorChromosome<int>)smallPopulationGenerator1.GeneratePopulation(1).First(); |
| 95 | + var chromosome2 = (VectorChromosome<int>)smallPopulationGenerator2.GeneratePopulation(1).First(); |
| 96 | + var newChromosome = (VectorChromosome<int>)crossoverManager.Crossover(chromosome1, chromosome2); |
| 97 | + |
| 98 | + var crossoverPoints = K_CrossoverGetCrossoverPointsAndAssertThatGenomesAreRight(newChromosome, chromosome2, chromosome1); |
| 99 | + Assert.AreEqual(1, crossoverPoints.Count, |
| 100 | + $"Found wrong number of crossoverPoints. 1: {chromosome1}; 2 {chromosome2}; newChromosome {newChromosome}"); |
| 101 | + } |
| 102 | + } |
| 103 | + |
| 104 | + [TestMethod] |
| 105 | + public void UniformCrossoverManagerTest() |
| 106 | + { |
| 107 | + var crossoverManager = new UniformCrossoverManager<int>(A.Fake<IMutationManager<int>>(), A.Fake<IEvaluator>()); |
| 108 | + for (int i = 0; i < TEST_RUNS; i++) |
| 109 | + { |
| 110 | + var chromosome1 = (VectorChromosome<int>)smallPopulationGenerator1.GeneratePopulation(1).First(); |
| 111 | + var chromosome2 = (VectorChromosome<int>)smallPopulationGenerator2.GeneratePopulation(1).First(); |
| 112 | + var newChromosome = (VectorChromosome<int>)crossoverManager.Crossover(chromosome1, chromosome2); |
| 113 | + |
| 114 | + K_CrossoverGetCrossoverPointsAndAssertThatGenomesAreRight(newChromosome, chromosome2, chromosome1); |
| 115 | + } |
| 116 | + } |
| 117 | + |
| 118 | + private static List<int> K_CrossoverGetCrossoverPointsAndAssertThatGenomesAreRight(VectorChromosome<int> newChromosome, VectorChromosome<int> chromosome2, |
| 119 | + VectorChromosome<int> chromosome1) |
| 120 | + { |
| 121 | + var crossoverPoints = new List<int>(); |
| 122 | + var takingFromFirstChromosome = true; |
| 123 | + for (int i = 0; i < SMALL_CHROMOSOME_SIZE; i++) |
| 124 | + { |
| 125 | + if (takingFromFirstChromosome) |
| 126 | + { |
| 127 | + if (newChromosome[i] == chromosome2[i]) |
| 128 | + { |
| 129 | + crossoverPoints.Add(i); |
| 130 | + takingFromFirstChromosome = !takingFromFirstChromosome; |
| 131 | + } |
| 132 | + else if (newChromosome[i] != chromosome1[i]) |
| 133 | + Assert.Fail( |
| 134 | + $"Got Genome that dosn't seem to have came from anywhere. 1: {chromosome1}; 2 {chromosome2}; newChromosome {newChromosome} "); |
| 135 | + } |
| 136 | + else |
| 137 | + { |
| 138 | + if (newChromosome[i] == chromosome1[i]) |
| 139 | + { |
| 140 | + crossoverPoints.Add(i); |
| 141 | + takingFromFirstChromosome = !takingFromFirstChromosome; |
| 142 | + } |
| 143 | + else if (newChromosome[i] != chromosome2[i]) |
| 144 | + Assert.Fail( |
| 145 | + $"Got Genome that dosn't seem to have came from anywhere. 1: {chromosome1}; 2 {chromosome2}; newChromosome {newChromosome} "); |
| 146 | + } |
| 147 | + } |
| 148 | + for (int j = SMALL_CHROMOSOME_SIZE; j < LARGE_CHROMOSOME_SIZE && j < newChromosome.GetVector().Length; j++) |
| 149 | + { |
| 150 | + Assert.AreEqual(chromosome2[j], newChromosome[j]); |
| 151 | + } |
| 152 | + |
| 153 | + return crossoverPoints; |
| 154 | + } |
| 155 | + } |
| 156 | +} |
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