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_VeryHighEta_ReturnsOneOrOtherParent()
{
var cx = new CrossoverSimulatedBinary(int.MaxValue - 10);
var child = cx.Operate(parent1, parent2)
.Select(d => (double)d).ToArray();
// Since we've set eta so high, the child should always be very close to one or other parent.
Assert.True(
child
.Select((d, i) => Math.Abs(d - (double)parent1.ElementAt(i)))
.All(d => d < 1e-6) ||
child
.Select((d, i) => Math.Abs(d - (double)parent2.ElementAt(i)))
.All(d => d < 1e-6));
}
