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 static OptimiserBuilder GetBuilder(DecisionSpace problemSpace,
AvailableOperators.ParentSelector parentSelection,
AvailableOperators.RecombinationOperator recombination,
AvailableOperators.MutationOperators mutation,
AvailableOperators.ReinsertionOperators reinsertion,
int?populationSize = null)
{
var hyps = EvolutionaryAlgorithmHyperParameters.GetDefaultHyperParameters();
if (populationSize != null)
{
hyps.UpdateHyperParameterValue(
EvolutionaryAlgorithmHyperParameters.Population_Size, populationSize);
}
var population = new Population(
hyps.GetHyperParameterValue <int>(EvolutionaryAlgorithmHyperParameters.Population_Size));
IParentSelectionOperator parentSelector;
switch (parentSelection)
{
case AvailableOperators.ParentSelector.Tournament:
parentSelector = new ParentSelectionTournament(
20,
false);
break;
case AvailableOperators.ParentSelector.Greedy:
parentSelector = new ParentSelectionGreedy();
break;
case AvailableOperators.ParentSelector.Random:
parentSelector = new ParentSelectionRandom();
break;
case AvailableOperators.ParentSelector.Roulette:
parentSelector = new ParentSelectionRoulette(
false);
break;
default:
throw new NotImplementedException();
}
IRecombinationOperator recombinationOperator;
hyps.UpdateHyperParameterValue(EvolutionaryAlgorithmHyperParameters.Number_Of_Parents, 2);
switch (recombination)
{
case AvailableOperators.RecombinationOperator.MultiPoint:
recombinationOperator = new CrossoverMultiPoint(
2);
break;
case AvailableOperators.RecombinationOperator.ArithmeticTwoParentWeighted:
recombinationOperator = new CrossoverArithmeticWeighted(
false,
0.5);
break;
case AvailableOperators.RecombinationOperator.Sbx:
recombinationOperator = new CrossoverSimulatedBinary(
2);
break;
case AvailableOperators.RecombinationOperator.SbxSa2:
recombinationOperator = new CrossoverSimulatedBinarySelfAdaptive2(
population, 2);
break;
case AvailableOperators.RecombinationOperator.ArithmeticMultiParent:
recombinationOperator = new CrossoverArithmeticMultiParent();
hyps.UpdateHyperParameterValue(
EvolutionaryAlgorithmHyperParameters.Number_Of_Parents,
4);
break;
case AvailableOperators.RecombinationOperator.Uniform:
recombinationOperator = new CrossoverUniform(
0.5);
break;
case AvailableOperators.RecombinationOperator.Pcx:
recombinationOperator = new RecombinationParentCentric(
0.1,
0.1);
hyps.UpdateHyperParameterValue(
EvolutionaryAlgorithmHyperParameters.Number_Of_Parents,
6);
break;
default:
throw new NotImplementedException();
}
IMutationOperator mutationOperator;
switch (mutation)
{
case AvailableOperators.MutationOperators.AddRandomNumber:
mutationOperator = new MutationAddRandomNumber(
0.1,
0.1,
1);
break;
case AvailableOperators.MutationOperators.RandomSwap:
mutationOperator = new MutationRandomSwap(
0.1);
break;
case AvailableOperators.MutationOperators.ReplaceWithRandomNumber:
mutationOperator = new MutationReplaceWithRandomNumber(
0.1,
1);
break;
case AvailableOperators.MutationOperators.None:
mutationOperator = new MutationReplaceWithRandomNumber(
0, 1);
break;
default:
throw new NotImplementedException();
}
IReinsertionOperator reinsertionOperator;
switch (reinsertion)
{
case AvailableOperators.ReinsertionOperators.ReplaceWorst:
reinsertionOperator = new ReinsertionReplaceWorst();
break;
case AvailableOperators.ReinsertionOperators.ReplaceRandom:
reinsertionOperator = new ReinsertionReplaceRandom();
break;
default:
throw new NotImplementedException();
}
return(new EvolutionaryAlgorithmBuilderContinuousSO(population, problemSpace, hyps,
parentSelector, recombinationOperator, mutationOperator, reinsertionOperator));
}