public void BinaryStringEntity_Serialization()
{
BinaryStringEntity entity = new BinaryStringEntity();
entity.MinimumStartingLength = entity.MaximumStartingLength = 3;
entity.IsFixedSize = true;
entity.Initialize(new MockGeneticAlgorithm());
BinaryStringEntity result = (BinaryStringEntity)SerializationHelper.TestSerialization(
entity, new Type[] { typeof(MockGeneticAlgorithm), typeof(DefaultTerminator) });
for (int i = 0; i < 3; i++)
{
Assert.Equal(entity[i], result[i]);
}
Assert.True(result.IsFixedSize);
}
public void BinaryStringEntity_SetLengthToExpand()
{
BinaryStringEntity entity = new BinaryStringEntity
{
MinimumStartingLength = 2,
MaximumStartingLength = 2,
};
entity.Initialize(new MockGeneticAlgorithm());
Assert.Equal(2, entity.Length);
entity.Length = 4;
Assert.Equal(4, entity.Length);
Assert.False(entity[2]);
Assert.False(entity[3]);
}
public void BinaryStringEntity_SetLengthToContract()
{
BinaryStringEntity entity = new BinaryStringEntity
{
MinimumStartingLength = 4,
MaximumStartingLength = 4,
};
entity.Initialize(new MockGeneticAlgorithm());
Assert.Equal(4, entity.Length);
entity[0] = true;
Assert.True(entity[0]);
entity.Length = 1;
Assert.Equal(1, entity.Length);
Assert.True(entity[0]);
}
public void InversionOperator_Mutate()
{
GeneticAlgorithm algorithm = new MockGeneticAlgorithm
{
SelectionOperator = new MockSelectionOperator(),
PopulationSeed = new MockPopulation(),
FitnessEvaluator = new MockFitnessEvaluator(),
GeneticEntitySeed = new BinaryStringEntity
{
MinimumStartingLength = 4,
MaximumStartingLength = 4
},
MutationOperator = new InversionOperator
{
MutationRate = 1
}
};
algorithm.GeneticEntitySeed.Initialize(algorithm);
InversionOperator op = (InversionOperator)algorithm.MutationOperator;
op.Initialize(algorithm);
BinaryStringEntity entity = (BinaryStringEntity)algorithm.GeneticEntitySeed.CreateNewAndInitialize();
entity.Age = 10;
entity.Initialize(algorithm);
entity[0] = true;
entity[1] = true;
entity[2] = false;
entity[3] = true;
FakeRandomUtil randomUtil = new FakeRandomUtil();
RandomNumberService.Instance = randomUtil;
randomUtil.RandomValue = 1;
GeneticEntity mutant = op.Mutate(entity);
Assert.Equal("1011", mutant.Representation);
Assert.Equal(0, mutant.Age);
}
public async Task UniformBitMutationOperator_Mutate()
{
MockGeneticAlgorithm algorithm = new MockGeneticAlgorithm
{
PopulationSeed = new MockPopulation(),
SelectionOperator = new MockSelectionOperator(),
FitnessEvaluator = new MockFitnessEvaluator2(),
GeneticEntitySeed = new BinaryStringEntity
{
MinimumStartingLength = 4,
MaximumStartingLength = 4
},
MutationOperator = new UniformBitMutationOperator
{
MutationRate = 1
}
};
await algorithm.InitializeAsync();
UniformBitMutationOperator op = new UniformBitMutationOperator {
MutationRate = 1
};
op.Initialize(algorithm);
BinaryStringEntity entity = new BinaryStringEntity {
MinimumStartingLength = 4, MaximumStartingLength = 4
};
entity.Age = 10;
entity.Initialize(algorithm);
entity[0] = true;
entity[1] = true;
entity[2] = false;
entity[3] = true;
GeneticEntity mutant = op.Mutate(entity);
Assert.Equal("0010", mutant.Representation);
Assert.Equal(0, mutant.Age);
}
public void SinglePointCrossoverOperator_GenerateCrossover_DifferentLength()
{
MockGeneticAlgorithm algorithm = new MockGeneticAlgorithm
{
PopulationSeed = new MockPopulation(),
SelectionOperator = new MockSelectionOperator(),
FitnessEvaluator = new MockFitnessEvaluator(),
CrossoverOperator = new SinglePointCrossoverOperator
{
CrossoverRate = 1
},
GeneticEntitySeed = new BinaryStringEntity
{
MinimumStartingLength = 4,
MaximumStartingLength = 4
}
};
algorithm.GeneticEntitySeed.Initialize(algorithm);
SinglePointCrossoverOperator op = new SinglePointCrossoverOperator {
CrossoverRate = 1
};
op.Initialize(algorithm);
BinaryStringEntity entity1 = (BinaryStringEntity)algorithm.GeneticEntitySeed.CreateNewAndInitialize();
entity1.Length = 5;
entity1[0] = true;
entity1[1] = false;
entity1[2] = false;
entity1[3] = true;
entity1[4] = true;
BinaryStringEntity entity2 = (BinaryStringEntity)algorithm.GeneticEntitySeed.CreateNewAndInitialize();
entity2.Initialize(algorithm);
entity2[0] = true;
entity2[1] = true;
entity2[2] = false;
entity2[3] = false;
TestRandomUtil randomUtil = new TestRandomUtil();
RandomNumberService.Instance = randomUtil;
randomUtil.RandomVal = 1;
IList <GeneticEntity> result = op.Crossover(new GeneticEntity[] { entity1, entity2 }).ToList();
BinaryStringEntity resultEntity1 = (BinaryStringEntity)result[0];
BinaryStringEntity resultEntity2 = (BinaryStringEntity)result[1];
Assert.Equal("1100", resultEntity1.Representation);
Assert.Equal("10011", resultEntity2.Representation);
randomUtil.RandomVal = 3;
result = op.Crossover(new GeneticEntity[] { entity1, entity2 }).ToList();
resultEntity1 = (BinaryStringEntity)result[0];
resultEntity2 = (BinaryStringEntity)result[1];
Assert.Equal("1000", resultEntity1.Representation);
Assert.Equal("11011", resultEntity2.Representation);
}