public void Evolve_ManyGenerations_Fast()
{
int numberOfCities = 40;
var selection = new EliteSelection();
var crossover = new OrderedCrossover();
var mutation = new TworsMutation();
var chromosome = new TspChromosome(numberOfCities);
var fitness = new TspFitness(numberOfCities, 0, 1000, 0, 1000);
var population = new Population(40, 40, chromosome);
var ga = new GeneticAlgorithm(population, fitness, selection, crossover, mutation);
ga.Start();
var firstDistance = ((TspChromosome)ga.Population.BestChromosome).Distance;
ga.Termination = new GenerationNumberTermination(1001);
TimeAssert.LessThan(100000, () =>
{
ga.Start();
});
var lastDistance = ((TspChromosome)ga.Population.BestChromosome).Distance;
Assert.Less(lastDistance, firstDistance);
}
public async Task Test4ThensAsync500MsEach2000MsTotal()
{
// Start the runner asynchronously.
Task t = Runner.Run(S).Then(S, S, S).Async();
// Take a lap right away. This should be only a few milliseconds in
// if the runner tasks really started asynchronously.
Laps.Add(Lapper.Lap());
// Wait for all of the runner tasks to finish.
await t.ConfigureAwait(false);
Lapper.Stop();
// There should be 5 laps; one that we took right away and one each per runner task.
Assert.Equal(5, Laps.Count);
// The first task should have been lapped right away, a few milliseconds after starting.
// Let's give a 500% epsilon since the expected time is so short.
TimeAssert.DeltaEquals(TimeSpan.FromMilliseconds(10), Lapper.Laps[0], 5);
// The rest should each take about 500ms.
foreach (var lap in Laps.Skip(1))
{
TimeAssert.DeltaEquals(TimeSpan.FromMilliseconds(500), lap, 0.1);
}
// ... And the total time should have been about 4 x 500ms = 2000ms.
TimeAssert.DeltaEquals(TimeSpan.FromMilliseconds(2000), Lapper.Elapsed, 0.1);
}
public async Task Test4AndsAsync500MsEach500MsTotal()
{
// Start the runner asynchronously.
Task t = Runner.Run(S).And(S, S, S).Async();
// Take a lap right away. This should be only a few milliseconds in
// if the runner tasks really started asynchronously.
Laps.Add(Lapper.Lap());
// Wait for the runner to finish.
await t.ConfigureAwait(false);
Lapper.Stop();
// The async lap (first lap) should have been only a few ms after its stopwatch started.
TimeAssert.EpsilonEquals(TimeSpan.FromMilliseconds(25), Laps[0], TimeSpan.FromMilliseconds(50));
// We should have one lap per task run.
Assert.Equal(5, Laps.Count);
// Each lap should be about 500ms...
// Skip the first lap because it was the one we took right away.
foreach (TimeSpan lap in Laps.Skip(1))
{
TimeAssert.DeltaEquals(TimeSpan.FromMilliseconds(500), lap, 0.1);
}
// And the elapsed time should be 500ms since the tasks were all run in parallel.
TimeAssert.DeltaEquals(TimeSpan.FromMilliseconds(500), Lapper.Elapsed, 0.1);
}
public void Test4ThensSync500MsEach2000MsTotal()
{
// Run the four runner tasks synchronously.
Runner.Run(S).Then(S, S, S).Sync();
// Stop the timer after the four tasks have finished.
Lapper.Stop();
// We should have four laps since we ran four tasks.
Assert.Equal(4, Laps.Count);
// Each lap should have been about 500ms...
foreach (var lap in Laps)
{
TimeAssert.DeltaEquals(TimeSpan.FromMilliseconds(500), lap, 0.1);
}
// ... And the total time should have been 4 x 500ms = 2000ms.
TimeAssert.DeltaEquals(TimeSpan.FromMilliseconds(2000), Lapper.Elapsed, 0.1);
}
public void Test4AndsSync500MsEach500MsTotal()
{
// Execute the runner synchronously.
Runner.Run(S).And(S, S, S).Sync();
// Take a lap once the runner is finished.
Lapper.Stop();
// We should have one lap per task run.
Assert.Equal(4, Laps.Count);
// Each lap should be about 500ms...
foreach (TimeSpan lap in Laps)
{
TimeAssert.DeltaEquals(TimeSpan.FromMilliseconds(500), lap, 0.1);
}
// ... And the total time should also be about 500ms since we ran all four tasks in parallel.
TimeAssert.DeltaEquals(TimeSpan.FromMilliseconds(500), Lapper.Elapsed, 0.1);
}
public void Start_NotParallelManyGenerations_Fast()
{
var selection = new EliteSelection();
var crossover = new OnePointCrossover(2);
var mutation = new UniformMutation();
var chromosome = new ChromosomeStub();
var target = new GeneticAlgorithm(new Population(100, 199, chromosome),
new FitnessStub()
{
SupportsParallel = false
}, selection, crossover, mutation);
target.Termination = new GenerationNumberTermination(100);
TimeAssert.LessThan(300, () => {
target.Start();
});
Assert.AreEqual(100, target.Population.Generations.Count);
Assert.Greater(target.TimeEvolving.TotalMilliseconds, 1);
}
public void Evolve_ManyGenerations_Fast()
{
int movesAhead = 10;
int boardSize = 10;
var selection = new EliteSelection();
var crossover = new OrderedCrossover();
var mutation = new TworsMutation();
var chromosome = new CheckersChromosome(movesAhead, boardSize);
var fitness = new CheckersFitness(new CheckersBoard(boardSize));
var population = new Population(40, 40, chromosome);
var ga = new GeneticAlgorithm(population, fitness, selection, crossover, mutation);
ga.GenerationRan += delegate
{
if (ga.Population.GenerationsNumber % 100 == 0)
{
fitness.Update(ga.Population.BestChromosome as CheckersChromosome);
}
};
ga.Start();
var firstFitness = ((CheckersChromosome)ga.Population.BestChromosome).Fitness;
ga.Termination = new GenerationNumberTermination(2001);
TimeAssert.LessThan(100000, () =>
{
ga.Start();
});
var lastFitness = ((CheckersChromosome)ga.Population.BestChromosome).Fitness;
Assert.LessOrEqual(firstFitness, lastFitness);
}
public void Cross_ParentsWith8Genes_Cross()
{
var target = new PartiallyMappedCrossover();
// 1 2 3 4 5 6 7 8
var chromosome1 = MockRepository.GenerateStub <ChromosomeBase>(8);
chromosome1.ReplaceGenes(0, new Gene[] {
new Gene(1),
new Gene(2),
new Gene(3),
new Gene(4),
new Gene(5),
new Gene(6),
new Gene(7),
new Gene(8)
});
chromosome1.Expect(c => c.CreateNew()).Return(MockRepository.GenerateStub <ChromosomeBase>(8));
// 3 7 5 1 6 8 2 4
var chromosome2 = MockRepository.GenerateStub <ChromosomeBase>(8);
chromosome2.ReplaceGenes(0, new Gene[]
{
new Gene(3),
new Gene(7),
new Gene(5),
new Gene(1),
new Gene(6),
new Gene(8),
new Gene(2),
new Gene(4)
});
chromosome2.Expect(c => c.CreateNew()).Return(MockRepository.GenerateStub <ChromosomeBase>(8));
var rnd = MockRepository.GenerateMock <IRandomization>();
rnd.Expect(r => r.GetUniqueInts(2, 0, 8)).Return(new int[] { 3, 5 });
RandomizationProvider.Current = rnd;
IList <IChromosome> actual = null;;
TimeAssert.LessThan(30, () =>
{
actual = target.Cross(new List <IChromosome>()
{
chromosome1, chromosome2
});
});
Assert.AreEqual(2, actual.Count);
Assert.AreEqual(8, actual[0].Length);
Assert.AreEqual(8, actual[1].Length);
//Assert.AreEqual(8, actual[0].GetGenes().Distinct().Count());
//Assert.AreEqual(8, actual[1].GetGenes().Distinct().Count());
// offspring 1: (4 2 3 1 6 8 7 5)
Assert.AreEqual(4, actual[0].GetGene(0).Value);
Assert.AreEqual(2, actual[0].GetGene(1).Value);
Assert.AreEqual(3, actual[0].GetGene(2).Value);
Assert.AreEqual(1, actual[0].GetGene(3).Value);
Assert.AreEqual(6, actual[0].GetGene(4).Value);
Assert.AreEqual(8, actual[0].GetGene(5).Value);
Assert.AreEqual(7, actual[0].GetGene(6).Value);
Assert.AreEqual(5, actual[0].GetGene(7).Value);
// // offspring 2: (3 7 8 4 5 6 2 1)
Assert.AreEqual(3, actual[1].GetGene(0).Value);
Assert.AreEqual(7, actual[1].GetGene(1).Value);
Assert.AreEqual(8, actual[1].GetGene(2).Value);
Assert.AreEqual(4, actual[1].GetGene(3).Value);
Assert.AreEqual(5, actual[1].GetGene(4).Value);
Assert.AreEqual(6, actual[1].GetGene(5).Value);
Assert.AreEqual(2, actual[1].GetGene(6).Value);
Assert.AreEqual(1, actual[1].GetGene(7).Value);
}
public void Cross_ParentsWith8Genes_Cross()
{
var target = new PositionBasedCrossover();
// 1 2 3 4 5 6 7 8
var chromosome1 = MockRepository.GenerateStub <ChromosomeBase>(8);
chromosome1.ReplaceGenes(0, new Gene[] {
new Gene(1),
new Gene(2),
new Gene(3),
new Gene(4),
new Gene(5),
new Gene(6),
new Gene(7),
new Gene(8)
});
chromosome1.Expect(c => c.CreateNew()).Return(MockRepository.GenerateStub <ChromosomeBase>(8));
// 2 4 6 8 7 5 3 1
var chromosome2 = MockRepository.GenerateStub <ChromosomeBase>(8);
chromosome2.ReplaceGenes(0, new Gene[]
{
new Gene(2),
new Gene(4),
new Gene(6),
new Gene(8),
new Gene(7),
new Gene(5),
new Gene(3),
new Gene(1)
});
chromosome2.Expect(c => c.CreateNew()).Return(MockRepository.GenerateStub <ChromosomeBase>(8));
// Child one: 1 4 6 2 3 5 7 8
// Child two: 4 2 3 8 7 6 5 1
var rnd = MockRepository.GenerateMock <IRandomization>();
rnd.Expect(r => r.GetInt(1, 7)).Return(3);
rnd.Expect(r => r.GetUniqueInts(3, 0, 8)).Return(new int[] { 1, 2, 5 });
RandomizationProvider.Current = rnd;
IList <IChromosome> actual = null;;
TimeAssert.LessThan(40, () =>
{
actual = target.Cross(new List <IChromosome>()
{
chromosome1, chromosome2
});
});
Assert.AreEqual(2, actual.Count);
var childOne = actual [0];
var childTwo = actual [1];
Assert.AreEqual(8, childOne.Length);
Assert.AreEqual(8, childTwo.Length);
Assert.AreEqual(8, childOne.GetGenes().Distinct().Count());
Assert.AreEqual(8, childTwo.GetGenes().Distinct().Count());
Assert.AreEqual(1, childOne.GetGene(0).Value);
Assert.AreEqual(4, childOne.GetGene(1).Value);
Assert.AreEqual(6, childOne.GetGene(2).Value);
Assert.AreEqual(2, childOne.GetGene(3).Value);
Assert.AreEqual(3, childOne.GetGene(4).Value);
Assert.AreEqual(5, childOne.GetGene(5).Value);
Assert.AreEqual(7, childOne.GetGene(6).Value);
Assert.AreEqual(8, childOne.GetGene(7).Value);
Assert.AreEqual(4, childTwo.GetGene(0).Value);
Assert.AreEqual(2, childTwo.GetGene(1).Value);
Assert.AreEqual(3, childTwo.GetGene(2).Value);
Assert.AreEqual(8, childTwo.GetGene(3).Value);
Assert.AreEqual(7, childTwo.GetGene(4).Value);
Assert.AreEqual(6, childTwo.GetGene(5).Value);
Assert.AreEqual(5, childTwo.GetGene(6).Value);
Assert.AreEqual(1, childTwo.GetGene(7).Value);
}
public void Cross_ParentsWith10Genes_Cross()
{
var target = new OrderedCrossover();
// 8 4 7 3 6 2 5 1 9 0
var chromosome1 = MockRepository.GenerateStub <ChromosomeBase>(10);
chromosome1.ReplaceGenes(0, new Gene[] {
new Gene(8),
new Gene(4),
new Gene(7),
new Gene(3),
new Gene(6),
new Gene(2),
new Gene(5),
new Gene(1),
new Gene(9),
new Gene(0)
});
chromosome1.Expect(c => c.CreateNew()).Return(MockRepository.GenerateStub <ChromosomeBase>(10));
// 0 1 2 3 4 5 6 7 8 9
var chromosome2 = MockRepository.GenerateStub <ChromosomeBase>(10);
chromosome2.ReplaceGenes(0, new Gene[]
{
new Gene(0),
new Gene(1),
new Gene(2),
new Gene(3),
new Gene(4),
new Gene(5),
new Gene(6),
new Gene(7),
new Gene(8),
new Gene(9),
});
chromosome2.Expect(c => c.CreateNew()).Return(MockRepository.GenerateStub <ChromosomeBase>(10));
// Child one: 0 4 7 3 6 2 5 1 8 9
// Child two: 8 2 1 3 4 5 6 7 9 0
var rnd = MockRepository.GenerateMock <IRandomization>();
rnd.Expect(r => r.GetUniqueInts(2, 0, 10)).Return(new int[] { 7, 3 });
RandomizationProvider.Current = rnd;
IList <IChromosome> actual = null;;
TimeAssert.LessThan(30, () => {
actual = target.Cross(new List <IChromosome> ()
{
chromosome1, chromosome2
});
});
Assert.AreEqual(2, actual.Count);
Assert.AreEqual(10, actual[0].Length);
Assert.AreEqual(10, actual[1].Length);
Assert.AreEqual(10, actual[0].GetGenes().Distinct().Count());
Assert.AreEqual(10, actual[1].GetGenes().Distinct().Count());
Assert.AreEqual(0, actual[0].GetGene(0).Value);
Assert.AreEqual(4, actual[0].GetGene(1).Value);
Assert.AreEqual(7, actual[0].GetGene(2).Value);
Assert.AreEqual(3, actual[0].GetGene(3).Value);
Assert.AreEqual(6, actual[0].GetGene(4).Value);
Assert.AreEqual(2, actual[0].GetGene(5).Value);
Assert.AreEqual(5, actual[0].GetGene(6).Value);
Assert.AreEqual(1, actual[0].GetGene(7).Value);
Assert.AreEqual(8, actual[0].GetGene(8).Value);
Assert.AreEqual(9, actual[0].GetGene(9).Value);
Assert.AreEqual(8, actual[1].GetGene(0).Value);
Assert.AreEqual(2, actual[1].GetGene(1).Value);
Assert.AreEqual(1, actual[1].GetGene(2).Value);
Assert.AreEqual(3, actual[1].GetGene(3).Value);
Assert.AreEqual(4, actual[1].GetGene(4).Value);
Assert.AreEqual(5, actual[1].GetGene(5).Value);
Assert.AreEqual(6, actual[1].GetGene(6).Value);
Assert.AreEqual(7, actual[1].GetGene(7).Value);
Assert.AreEqual(9, actual[1].GetGene(8).Value);
Assert.AreEqual(0, actual[1].GetGene(9).Value);
}
public void Cross_ParentsWith6Genes_Cross()
{
var target = new PositionBasedCrossover();
// 1 5 4 0 3 2
var chromosome1 = MockRepository.GenerateStub <ChromosomeBase>(6);
chromosome1.ReplaceGenes(0, new Gene[] {
new Gene(1),
new Gene(5),
new Gene(4),
new Gene(0),
new Gene(3),
new Gene(2)
});
chromosome1.Expect(c => c.CreateNew()).Return(MockRepository.GenerateStub <ChromosomeBase>(6));
// 2 3 5 0 1 4
var chromosome2 = MockRepository.GenerateStub <ChromosomeBase>(6);
chromosome2.ReplaceGenes(0, new Gene[]
{
new Gene(2),
new Gene(3),
new Gene(5),
new Gene(0),
new Gene(1),
new Gene(4)
});
chromosome2.Expect(c => c.CreateNew()).Return(MockRepository.GenerateStub <ChromosomeBase>(6));
// Child one: 4 3 5 0 1 2
// Child two: 2 5 4 0 3 1
var rnd = MockRepository.GenerateMock <IRandomization>();
rnd.Expect(r => r.GetInt(1, 5)).Return(3);
rnd.Expect(r => r.GetUniqueInts(3, 0, 6)).Return(new int[] { 2, 4, 3 });
RandomizationProvider.Current = rnd;
IList <IChromosome> actual = null;;
TimeAssert.LessThan(40, () =>
{
actual = target.Cross(new List <IChromosome>()
{
chromosome1, chromosome2
});
});
Assert.AreEqual(2, actual.Count);
var childOne = actual[0];
var childTwo = actual[1];
Assert.AreEqual(6, childOne.Length);
Assert.AreEqual(6, childTwo.Length);
Assert.AreEqual(6, childOne.GetGenes().Distinct().Count());
Assert.AreEqual(6, childTwo.GetGenes().Distinct().Count());
Assert.AreEqual(4, childOne.GetGene(0).Value);
Assert.AreEqual(3, childOne.GetGene(1).Value);
Assert.AreEqual(5, childOne.GetGene(2).Value);
Assert.AreEqual(0, childOne.GetGene(3).Value);
Assert.AreEqual(1, childOne.GetGene(4).Value);
Assert.AreEqual(2, childOne.GetGene(5).Value);
Assert.AreEqual(2, childTwo.GetGene(0).Value);
Assert.AreEqual(5, childTwo.GetGene(1).Value);
Assert.AreEqual(4, childTwo.GetGene(2).Value);
Assert.AreEqual(0, childTwo.GetGene(3).Value);
Assert.AreEqual(3, childTwo.GetGene(4).Value);
Assert.AreEqual(1, childTwo.GetGene(5).Value);
}
public void TestThenDelaySync100MsEach500MsTotal()
{
Runner.Run(100).Then(100).Then(100).Then(100).Then(100).Sync();
Lapper.Stop();
TimeAssert.DeltaEquals(TimeSpan.FromMilliseconds(500), Lapper.Elapsed, 0.25);
}
