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 Select_RequestOne_BestIsAlwaysIncluded_GetBest()
{
var selector = new ParentSelectionTournament(10, true);
var parents = selector.Select(testPop, 1);
Assert.Equal(testPop.Best(), parents.ElementAt(0));
}
public void Select_NumberToSelectGreaterThanPopulationSize_Throws()
{
var selector = new ParentSelectionTournament(10);
Assert.Throws <ArgumentOutOfRangeException>(() =>
selector.Select(testPop, testPop.Count() + 1));
}
public void Select_PopulationSmallerThanTournamentSize_Throws()
{
var selector = new ParentSelectionTournament(100);
Assert.Throws <ArgumentOutOfRangeException>(() =>
selector.Select(testPop, 1));
}
public void Select_RequestFive_BestIsAlwaysIncluded_GetFiveIncludingBest()
{
var selector = new ParentSelectionTournament(10, true);
var parents = selector.Select(testPop, 5);
Assert.True(parents.Count() == 5);
Assert.Contains(testPop.Best(), parents);
}
public void Select_RequestOne_GetOne()
{
var selector = new ParentSelectionTournament(10, false);
var parents = selector.Select(testPop, 1);
Assert.True(parents.Count() == 1);
Assert.True(parents.ElementAt(0) != testPop.Worst());
}
