private void TestMutation(int firstRandomValue, int secondRandomValue, int[] expectedValues)
{
ListShiftMutationOperator op = new ListShiftMutationOperator
{
MutationRate = 1
};
RandomNumberService.Instance = new FakeRandomNumberService(firstRandomValue, secondRandomValue);
IntegerListEntity entity = new IntegerListEntity
{
MinimumStartingLength = 5,
MaximumStartingLength = 5,
};
entity.Initialize(new MockGeneticAlgorithm());
for (int i = 0; i < 5; i++)
{
entity[i] = i;
}
IntegerListEntity result = (IntegerListEntity)op.Mutate(entity);
Assert.Equal(expectedValues, result);
}
public void UniformIntegerMutationOperatorTest_Mutate()
{
MockGeneticAlgorithm algorithm = new MockGeneticAlgorithm
{
PopulationSeed = new MockPopulation(),
SelectionOperator = new MockSelectionOperator(),
FitnessEvaluator = new MockFitnessEvaluator(),
GeneticEntitySeed = new IntegerListEntity
{
MinimumStartingLength = 4,
MaximumStartingLength = 4,
MaxElementValue = 2,
MinElementValue = 1
},
MutationOperator = new UniformIntegerMutationOperator
{
MutationRate = 1
}
};
UniformIntegerMutationOperator op = new UniformIntegerMutationOperator {
MutationRate = 1
};
op.Initialize(algorithm);
IntegerListEntity entity = new IntegerListEntity {
MinimumStartingLength = 4, MaximumStartingLength = 4, MaxElementValue = 2, MinElementValue = 1
};
entity.Age = 10;
entity.Initialize(algorithm);
entity[0] = 1;
entity[1] = 1;
entity[2] = 2;
entity[3] = 1;
GeneticEntity mutant = op.Mutate(entity);
Assert.Equal("2, 2, 1, 2", mutant.Representation);
Assert.Equal(0, mutant.Age);
}
