public void PopulationRenwalManagerGetsRightInfoTest(RunType runType)
{
var generation = 0;
var populationRenwalManager = A.Fake <IPopulationRenwalManager>();
A.CallTo(() => populationRenwalManager.ShouldRenew(A <Population> ._, A <IEnvironment> ._, A <int> ._)).Invokes(
(Population p, IEnvironment e, int g) =>
{
Assert.AreEqual(generation, g, "Wrong generation");
foreach (var chromosome in p.GetChromosomes())
{
Assert.AreEqual(generation + 1, chromosome.Evaluate(), "Wrong chromosome");
}
foreach (var evaluation in p.GetEvaluations())
{
Assert.AreEqual(generation + 1, evaluation, "Wrong evaluation");
}
generation++;
});
var populationManager = new TestPopulationManager(new[]
{ new double[] { 1, 1, 1 }, new double[] { 2, 2, 2 }, new double[] { 3, 3, 3 } });
using (var engine = new TestGeneticSearchEngineBuilder(POPULATION_SIZE, 3, populationManager)
.AddPopulationRenwalManager(populationRenwalManager).IncludeAllHistory().Build())
{
engine.Run(runType);
}
}
public void GetCurrentPopulation_CheckPopulationIsRight(bool includeHistory)
{
var populationManager = new TestPopulationManager(new double[] { 2, 2 });
populationManager.SetPopulationGenerated(new[] { new double[] { 3, 3 } });
var engineBuilder =
new TestGeneticSearchEngineBuilder(2, int.MaxValue, populationManager);
if (includeHistory)
{
engineBuilder.IncludeAllHistory();
}
var engine = engineBuilder.Build();
var result1 = engine.Next();
var result2 = engine.GetCurrentPopulation();
Assertions.AssertAreTheSame(result1, result2);
result1 = engine.Next();
result2 = engine.GetCurrentPopulation();
Assertions.AssertAreTheSame(result1, result2);
}
public void SetCurrentPopulation_EngineRunning_ThrowException()
{
Utils.RunTimedTest(() =>
{
using (var engine =
new TestGeneticSearchEngineBuilder(2, int.MaxValue, new TestPopulationManager(new double[] { 2, 2 })).Build())
{
Task.Run(() => engine.Run());
while (!engine.IsRunning)
{
;
}
engine.SetCurrentPopulation(new double[] { 3, 3 }.ToChromosomes("Converted"));
if (engine.IsRunning)
{
Assert.Fail("Should have thrown an exception.");
}
else
{
Assert.Fail("For some reason, the engine is no longer running.");
}
}
});
}
public void ConvertPopulationViaManager_CheckWeGetTheRightPopulationAndGeneration()
{
var generation = 0;
var testPopulationManager = new TestPopulationManager(new double[] { 1, 1, 1, 1, 1 });
var populationConverter = A.Fake <IPopulationConverter>();
A.CallTo(() => populationConverter.ConvertPopulation(A <IChromosome[]> ._, A <int> ._, A <IEnvironment> ._))
.ReturnsLazily((IChromosome[] c, int g, IEnvironment e) =>
{
Assert.AreEqual(generation, g, "We got the wrong generation");
foreach (var chromosome in c)
{
Assert.AreEqual(1, chromosome.Evaluate(), "Got wrong chromosome");
}
generation++;
return(c);
});
var engine = new TestGeneticSearchEngineBuilder(5, 10, testPopulationManager)
.AddPopulationConverter(populationConverter).Build();
for (int i = 0; i < 5; i++)
{
engine.Next();
}
}
private GeneticSearchEngineBuilder CreateEngineBuilder(TestPopulationManager populationManager, int generations = int.MaxValue)
{
var populationConverter = A.Fake <IPopulationConverter>();
A.CallTo(() => populationConverter.AddGeneration(A <Population> ._))
.Invokes((Population population) => populationUpdatedForPopulationConverter.Save(population));
A.CallTo(() => populationConverter.ConvertPopulation(A <IChromosome[]> ._, A <int> ._, A <IEnvironment> ._))
.ReturnsLazily((IChromosome[] c, int g, IEnvironment e) => c);
var stopManager = A.Fake <IStopManager>();
A.CallTo(() => stopManager.AddGeneration(A <Population> ._))
.Invokes((Population p) => populationUpdatedForStopManager.Save(p));
var populationRenwalManager = A.Fake <IPopulationRenwalManager>();
A.CallTo(() => populationRenwalManager.AddGeneration(A <Population> ._))
.Invokes((Population p) => populationUpdatedForRenewalManager.Save(p));
var mutationManager = A.Fake <IMutationProbabilityManager>();
A.CallTo(() => mutationManager.AddGeneration(A <Population> ._))
.Invokes((Population p) => populationUpdatedForMutationManager.Save(p));
var builder = new TestGeneticSearchEngineBuilder(2, generations, populationManager)
.AddStopManager(stopManager)
.AddPopulationRenwalManager(populationRenwalManager).SetCustomMutationProbabilityManager(mutationManager)
.AddPopulationConverter(populationConverter);
return(builder);
}
public void RenewPopulation_EngineNotStated_ThrowException()
{
var engine =
new TestGeneticSearchEngineBuilder(2, 4, new TestPopulationManager(new double[] { 2, 2 })).Build();
engine.RenewPopulation(0.5);
Assert.Fail("Should have thrown an exception by now");
}
public void BestChromosome()
{
var populationManager = new TestPopulationManager(new double[] { 1, 10, 14, 7, 8, 13, 11, 1, 6, 6 });
var engine = new TestGeneticSearchEngineBuilder(10, 10, populationManager).Build();
var result = engine.Next();
Assert.AreEqual(14, result.BestChromosome.Evaluate());
}
public void RenewPopulation_BedPercentage_ThrowException(double percentage)
{
var engine =
new TestGeneticSearchEngineBuilder(2, 4, new TestPopulationManager(new double[] { 2, 2 })).Build();
engine.Next();
engine.RenewPopulation(percentage);
Assert.Fail("Should have thrown an exception by now");
}
public void IfNoEnvironmentIsSetUseDefaultEnvironment()
{
var chromosomeEvaluator = A.Fake <IChromosomeEvaluator>();
A.CallTo(() => chromosomeEvaluator.SetEnvierment(A <IEnvironment> ._)).Invokes((IEnvironment e) =>
Assert.AreEqual(typeof(DefaultEnvironment), e.GetType()));
var engine = new TestGeneticSearchEngineBuilder(2, 10, new double[] { 1, 1 }).SetCustomChromosomeEvaluator(chromosomeEvaluator).Build();
engine.Next();
}
public void RenewPopulation_EngineRunning_ThrowException()
{
using (var engine =
new TestGeneticSearchEngineBuilder(2, int.MaxValue, new TestPopulationManager(new double[] { 2, 2 })).Build())
{
Task.Run(() => engine.Run());
Thread.Sleep(50); // Give the eingine some time to start
engine.RenewPopulation(0.5);
Assert.Fail("Should have thrown an exception by now");
}
}
public void StopAtConvergenceTest(RunType runType)
{
var populationManager = new TestPopulationManager(new[]
{ new double[] { 1, 2, 1 }, new double[] { 2, 6, 2 }, new double[] { 2, 2.5, 2 } });
using (var engine = new TestGeneticSearchEngineBuilder(POPULATION_SIZE, MAX_GENERATIONS, populationManager)
.AddStopManager(new StopAtConvergence(0.5)).IncludeAllHistory().Build())
{
var result = engine.Run(runType);
Assert.AreEqual(3, result.Generations);
}
}
public void RenewIfNoImprovmentTest2(RunType runType)
{
var populationManager = new TestPopulationManager(new double[] { 1, 1, 1 });
populationManager.SetPopulationGenerated(new[] { new double[] { 2, 2, 2 } });
using (var engine = new TestGeneticSearchEngineBuilder(POPULATION_SIZE, 4, populationManager)
.AddPopulationRenwalManager(new RenewIfNoImprovment(2, 10, 1)).IncludeAllHistory().Build())
{
var result = engine.Run(runType);
Assert.AreEqual(2, result.BestChromosome.Evaluate());
}
}
public void SearchTimeTest(RunType runType)
{
var populationManager = new TestPopulationManager(new double[] { 10, 10, 10, 10, 10, 10, 10, 10, 10, 10 });
using (var engine1 = new TestGeneticSearchEngineBuilder(10, 10, populationManager).Build())
using (var engine2 = new TestGeneticSearchEngineBuilder(10, 1000, populationManager).Build())
{
var result1 = engine1.Run(runType);
var result2 = engine2.Run(runType);
Assert.IsTrue(result2.SearchTime > result1.SearchTime, $"engine1 ran for less time than engine2 (engine1 = {result1.SearchTime}; engine2 = {result2.SearchTime})");
}
}
public void HistoryIsRightTest(RunType runType)
{
var population = new[] { new double[] { 1, 1, 1 }, new double[] { 2, 2, 2 }, new double[] { 2, 3, 2 } };
var populationManager = new TestPopulationManager(population);
using (var searchEngine =
new TestGeneticSearchEngineBuilder(population[0].Length, population.Length - 1, populationManager)
.IncludeAllHistory().Build())
{
var result = searchEngine.Run(runType);
result.History.AssertHasEvaluation(population);
}
}
public void ReturnChromosomeEvaluationIfSet()
{
var evaluation = 8;
var chromosomeEvaluator = A.Fake <IChromosomeEvaluator>();
A.CallTo(() => chromosomeEvaluator.Evaluate(A <IChromosome> ._)).Returns(evaluation);
var engine = new TestGeneticSearchEngineBuilder(2, 10, new double[] { 1, 1 }).SetCustomChromosomeEvaluator(chromosomeEvaluator).Build();
var result = engine.Next();
foreach (var actualEvaluation in result.Population.GetEvaluations())
{
Assert.AreEqual(evaluation, actualEvaluation);
}
}
public void GetCurrentPopulation_EngineRunning_ThrowException()
{
using (var engine =
new TestGeneticSearchEngineBuilder(2, int.MaxValue, new TestPopulationManager(new double[] { 2, 2 })).Build())
{
Task.Run(() => engine.Run());
while (!engine.IsRunning)
{
;
}
engine.GetCurrentPopulation();
Assert.Fail("Should have thrown an exception by now");
}
}
public void SearchTimeRunTest()
{
var populationManager = new TestPopulationManager(new double[] { 10, 10, 10, 10, 10, 10, 10, 10, 10, 10 });
using (var engine = new TestGeneticSearchEngineBuilder(10, 50, populationManager).Build())
{
var stopwatch = new Stopwatch();
stopwatch.Start();
var result = engine.Run();
stopwatch.Stop();
Assert.IsTrue(stopwatch.Elapsed.TotalMilliseconds * 0.90 < stopwatch.Elapsed.TotalMilliseconds, $"time is too short. {nameof(stopwatch.Elapsed)} = {stopwatch.Elapsed}; {nameof(result.SearchTime)} = {result.SearchTime.TotalMilliseconds}");
Assert.IsTrue(stopwatch.Elapsed.TotalMilliseconds * 1.1 > stopwatch.Elapsed.TotalMilliseconds, $"time is too long. {nameof(stopwatch.Elapsed)} = {stopwatch.Elapsed}; {nameof(result.SearchTime)} = {result.SearchTime.TotalMilliseconds}");
}
}
public void StopIfNoImprovmentTest2(RunType runType)
{
Utils.RunTimedTest(() =>
{
var populationManager = new TestPopulationManager(new[]
{ new double[] { 1, 1, 1 }, new double[] { 2, 2.5, 2 }, new double[] { 3, 3, 3 } });
using (var engine = new TestGeneticSearchEngineBuilder(POPULATION_SIZE, MAX_GENERATIONS, populationManager)
.AddStopManager(new StopIfNoImprovment(1, 0.9)).IncludeAllHistory().Build())
{
var result = engine.Run(runType);
Assert.AreEqual(3, result.Generations);
}
});
}
public void RenewAtDifferenceBetweenAverageAndMaximumFitnessTest(RunType runType)
{
var populationManager = new TestPopulationManager(new double[] { 1, 2, 1 });
populationManager.SetPopulationGenerated(new[]
{ new double[] { 2, 5, 2 }, new double[] { 6, 6, 6 }, new double[] { 7, 7, 7 } });
using (var engine = new TestGeneticSearchEngineBuilder(POPULATION_SIZE, 4, populationManager)
.AddPopulationRenwalManager(new RenewAtDifferenceBetweenAverageAndMaximumFitness(1, 1))
.IncludeAllHistory().Build())
{
var result = engine.Run(runType);
Assert.AreEqual(5, result.BestChromosome.Evaluate());
}
}
public void ResultGetsRightEnvironment()
{
var populationManager = new TestPopulationManager(new double[] { 0, 0 }, c => c.Evaluate() + 1);
var engine = new TestGeneticSearchEngineBuilder(2, 10, populationManager).SetCustomChromosomeEvaluator(A.Fake <IChromosomeEvaluator>()).Build();
int i;
for (i = 0; i < 4; i++)
{
var result = engine.Next();
AssertIsRightEnvironment(result.Environment, i);
}
Assert.AreNotEqual(0, i, "SetEnvierment was never called");
}
public void ConvertPopulation_PopulationConverted()
{
var newPopulationEvaluation = new double[] { 2, 2, 2 };
var populationManager = new TestPopulationManager(new double[] { 1, 1, 1 });
var engine = new TestGeneticSearchEngineBuilder(3, 10, populationManager).Build();
engine.Next();
var newPopulation = engine.SetCurrentPopulation(newPopulationEvaluation.ToChromosomes("Converted"));
newPopulation.Population.GetChromosomes().AssertHasEvaluation(newPopulationEvaluation);
newPopulation = engine.GetCurrentPopulation();
newPopulation.Population.GetChromosomes().AssertHasEvaluation(newPopulationEvaluation);
}
public void RenewOnlySomeChromosomes(RunType runType)
{
var populationManager = new TestPopulationManager(new double[] { 4, 4, 4 });
populationManager.SetPopulationGenerated(new[]
{ new double[] { 3, 3, 3 }, new double[] { 2, 2, 2 }, new double[] { 1, 1, 1 } });
using (var engine = new TestGeneticSearchEngineBuilder(POPULATION_SIZE, 4, populationManager)
.AddPopulationRenwalManager(new RenewAtConvergence(0.9, 0.5))
.IncludeAllHistory().Build())
{
var result = engine.Run(runType);
Assert.AreEqual(4, result.BestChromosome.Evaluate());
}
}
public void RenewPercantagePopulation_PercentageRenewed(double percent)
{
var populationManager = new TestPopulationManager(new double[] { 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 });
populationManager.SetPopulationGenerated(new[] { new double[] { 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 } });
var engine =
new TestGeneticSearchEngineBuilder(10, int.MaxValue, populationManager).Build();
engine.Next();
var result = engine.RenewPopulation(percent);
var threeCounters = result.Population.Count(chromosme => chromosme.Evaluation == 3);
Assert.AreEqual(percent * 10, threeCounters);
}
public void ChangeHistoryLastGeneration_AlgorithmPopulationNotChanged()
{
var expectedPopulation = new double[] { 1, 1 };
var engine = new TestGeneticSearchEngineBuilder(2, 10, expectedPopulation).IncludeAllHistory().Build();
var fakeChromosome = ChromosomeFactory.CreateChromosome(10, "ChangedChromosome");
var result = engine.Next();
result.History[result.History.Count - 1][0] = fakeChromosome;
result = engine.GetCurrentPopulation();
foreach (var chromosome in result.Population.GetChromosomes())
{
Assert.AreNotEqual(fakeChromosome, chromosome);
}
}
public void RenewPopulation_CheckPopulationRenewedSentToNextGeneration()
{
var populationManager = new TestPopulationManager(new double[] { 2, 2 }, c => c.Evaluate() + 1);
populationManager.SetPopulationGenerated(new[] { new double[] { 3, 3 } });
var engine =
new TestGeneticSearchEngineBuilder(2, int.MaxValue, populationManager).Build();
engine.Next();
engine.RenewPopulation(1);
var result = engine.Next();
foreach (var chromosme in result.Population)
{
Assert.AreEqual(4, chromosme.Evaluation);
}
}
public void IsCompletedTests()
{
var generations = 30;
var populationManager = new TestPopulationManager(new double[] { 1, 2, 3 });
var searchEngine =
new TestGeneticSearchEngineBuilder(3, generations, populationManager)
.IncludeAllHistory().Build();
for (int i = 0; i < generations - 1; i++)
{
var result = searchEngine.Next();
Assert.IsFalse(result.IsCompleted, "Shouldn't have finished yet");
}
var finalResult = searchEngine.Next();
Assert.IsTrue(finalResult.IsCompleted);
}
public void OnNewGenerationEventGetsRightEnvironment()
{
var counter = 0;
var populationManager = new TestPopulationManager(new double[] { 0, 0 }, c => c.Evaluate() + 1);
var engine = new TestGeneticSearchEngineBuilder(2, 10, populationManager).SetCustomChromosomeEvaluator(A.Fake <IChromosomeEvaluator>()).Build();
engine.OnNewGeneration += (p, en) =>
{
AssertIsRightEnvironment(en, counter);
counter++;
};
engine.Next();
engine.Next();
engine.Next();
Assert.AreNotEqual(0, counter, "SetEnvierment was never called");
}
public void ElitismTest(double eilentPrecentage, RunType runType)
{
var populationSize = 10;
var populationManager =
new TestPopulationManager(
new double[] { 10, 10, 10, 10, 10, 10, 10, 10, 10, 10 }, c => c.Evaluate() - 1);
using (var engine = new TestGeneticSearchEngineBuilder(populationSize, 10, populationManager)
.SetElitePercentage(eilentPrecentage).IncludeAllHistory().Build())
{
var result = engine.Run(runType);
var maxEvaluation = result.BestChromosome.Evaluate();
Assert.AreEqual(10, maxEvaluation);
Assert.AreEqual(eilentPrecentage * populationSize,
result.Population.GetChromosomes().Count(c => c.Evaluate() == maxEvaluation));
}
}
public void SetCurrentPopulation_WrongNumberOfChromosomes_ThrowException()
{
Utils.RunTimedTest(() =>
{
using (var engine = new TestGeneticSearchEngineBuilder(2, int.MaxValue, new TestPopulationManager(new double[] { 2, 2 })).Build())
{
Task.Run(() => engine.Run());
while (!engine.IsRunning)
{
;
}
engine.SetCurrentPopulation(new double[] { 3, 3, 3 }.ToChromosomes("Converted"));
Assert.Fail("Should have thrown an exception by now");
}
});
}
public void ConvertPopulationViaManager_CheckPopulationConverted()
{
var testPopulationManager = new TestPopulationManager(new double[] { 1, 1, 1, 1, 1 });
var populationConverter = A.Fake <IPopulationConverter>();
var convertedPopulation = new double[] { 2, 2, 2, 2, 2 };
A.CallTo(() => populationConverter.ConvertPopulation(A <IChromosome[]> ._, A <int> ._, A <IEnvironment> ._))
.Returns(convertedPopulation.ToChromosomes("Converted Chromosomes"));
var engine = new TestGeneticSearchEngineBuilder(convertedPopulation.Length, 10, testPopulationManager)
.AddPopulationConverter(populationConverter).Build();
var result = engine.Next();
for (var i = 0; i < result.Population.GetChromosomes().Length; i++)
{
Assert.AreEqual(convertedPopulation[i], result.Population.GetChromosomes()[i].Evaluate(), "Wrong chromosome");
}
}
