public static OptimiserBuilder GetBuilder(DecisionSpace problemSpace)
{
var hyps = EvolutionaryAlgorithmHyperParameters.GetDefaultHyperParameters();
var population = new Population(
200);
hyps.UpdateHyperParameterValue(
EvolutionaryAlgorithmHyperParameters.Population_Size,
200);
IParentSelectionOperator parentSelector = new ParentSelectionTournament(
20, false);
IRecombinationOperator recombinationOperator = new CrossoverSimulatedBinary(
2);;
hyps.UpdateHyperParameterValue(
EvolutionaryAlgorithmHyperParameters.Number_Of_Parents, 2);
IMutationOperator mutationOperator = new MutationAddRandomNumber(
0.1,
0.1,
1);
IReinsertionOperator reinsertionOperator = new ReinsertionReplaceRandom();
return(new EvolutionaryAlgorithmBuilderContinuousMO(population, problemSpace, hyps,
parentSelector, recombinationOperator, mutationOperator, reinsertionOperator));
}
public void Operate_OneMutationDesired_ZeroMutationChance_ReturnsOriginalDv()
{
var mutator = new MutationAddRandomNumber(
0.5, 0, 1);
var newDv = mutator.Operate(testDv);
Assert.Equal(testDv, newDv);
}
public void Operate_ManyMutationsDesired_ReturnsMutatedDv()
{
var mutator = new MutationAddRandomNumber(
0.5, 1, 10);
var newDv = mutator.Operate(testDv);
Assert.NotEqual(testDv, newDv);
Assert.Equal(testDv.Count, newDv.Count);
Assert.True(newDv.Where((v, i) => v == testDv.ElementAt(i)).Count()
<= testDv.Count - 1);
}
public void Operate_DiscreteDv_Throws()
{
var mutator = new MutationAddRandomNumber(0.5, 1, 1);
Assert.Throws <ArgumentException>(() => mutator.Operate(invalidDv));
}