protected void BuildEvaluator()
{
MapBuilder mapBuilder = new MapBuilder(_building.ToDataModel());
Simulator sim = new Simulator();
sim.MaximumTicks = _building.GetFloorCount() * 2;
sim.SetupSimulator(mapBuilder.BuildBuildingMap(), mapBuilder.BuildPeopleMap());
_evaluator = new EvaCalcEvaluator(sim, _building, true);
}
public Genetics.Generic.ITransformer<List<bool>> BuildTransformer(BuildingEditor.ViewModel.Building building)
{
MapBuilder mapBuilder = new MapBuilder(building.ToDataModel());
Simulator sim = new Simulator();
sim.MaximumTicks = building.GetFloorCount() * 2;
sim.SetupSimulator(mapBuilder.BuildBuildingMap(), mapBuilder.BuildPeopleMap());
EvaCalcEvaluator evaluator = new EvaCalcEvaluator(sim, new Building(building));
return new LocalOptimization(building, evaluator);
}
private void Setup()
{
_building.ShortGenotype = _geneticsConfiguration.ShortGenotype;
_building.ApplySimpleEvacuationIfShortGenotype();
MapBuilder mapBuilder = new MapBuilder(_building.ToDataModel());
Simulator sim = new Simulator();
sim.MaximumTicks = _building.GetFloorCount() * 2;
sim.SetupSimulator(mapBuilder.BuildBuildingMap(), mapBuilder.BuildPeopleMap());
EvaCalcEvaluator evaluator = new EvaCalcEvaluator(sim, new Building(_building));
BinaryChromosome.CrossoverOperator = _geneticsConfiguration.CrossoverOperator;
BinaryChromosome.MutationOperator = _geneticsConfiguration.MutationOperator;
BinaryChromosome.Transformer = _geneticsConfiguration.Transformer;
BinaryChromosome.Repairer = new AdvancedRepairer(new Building(_building));
BinaryChromosome.Evaluator = evaluator;
GeneticAlgorithm = new GeneticAlgorithm(new BinaryChromosomeFactory(_building.GetFloorCount() * 2), _geneticsConfiguration.InitialPopulationSize);
if (_geneticsConfiguration.MaxIterationsWithoutImprovement > 0)
GeneticAlgorithm.EnableBestChromosomeBasedStopCondition(_geneticsConfiguration.MaxIterationsWithoutImprovement);
GeneticAlgorithm.Selector = _geneticsConfiguration.Selector;
GeneticAlgorithm.MaxIterations = _geneticsConfiguration.MaxIterations;
GeneticAlgorithm.CrossoverProbability = _geneticsConfiguration.CrossoverProbability;
GeneticAlgorithm.ReportStatus += CollectAlgorithmStatus;
}
public EvaCalcEvaluator GetEvaluator()
{
MapBuilder mapBuilder = new MapBuilder(building.ToDataModel());
Simulator sim = new Simulator();
sim.MaximumTicks = building.GetFloorCount() * 2;
sim.SetupSimulator(mapBuilder.BuildBuildingMap(), mapBuilder.BuildPeopleMap());
return new EvaCalcEvaluator(sim, new Building(building));
}