public MasterSystem(ProgramArguments arguments, int size)
{
int rank = 0;
LoadOptimiserParams(arguments);
sceOptions = SceOptions.RndInSubComplex;
if (arguments.SceOptions == "full")
{
sceOptions |= SceOptions.ReflectionRandomization;
}
OutputPath = arguments.OutputPath;
// Ensure existance of some locations that are assumed to exist when writing the results
if (!OutputPath.Exists)
{
OutputPath.Create();
}
RosenbrockIterations = arguments.RosenbrockIterations.Clamp(MinRosenbrockIterations, MaxRosenbrockIterations);
WallClock = arguments.WallClockHours.Clamp(MinWallClock, MaxWallClock);
ConvergenceCriterionCvThreshold = arguments.ConvergenceCriterionCvThreshold.Clamp(MinConvergenceThreshold, MaxConvergenceThreshold);
TerminationCriterion = (TerminationCriteria)Enum.Parse(typeof(TerminationCriteria), arguments.TerminationCriterion);
OptimisationMethod = (OptimisationMethods)Enum.Parse(typeof(OptimisationMethods), arguments.OptimisationMethod);
SeedParametersFile = arguments.ParameterDefinitions.FullName;
LogFileName = Path.Combine(arguments.OutputPath.FullName, arguments.LogFile);
OutputFileName = Path.Combine(arguments.OutputPath.FullName, arguments.ResultsFile);
TemplateParameterSet = GridModelHelper.LoadParameterSpace(arguments.ParameterDefinitions.FullName);
MpiSysConfig[] seedsPopulation = GridModelHelper.LoadParameterSets(arguments.SeedParameterSets, TemplateParameterSet);
evaluator = new MultiCatchmentCompositeObjectiveEvaluator(
arguments.GlobalDefinition, arguments.ObjectiveDefinition, arguments.CreateCompositeEvaluator(), rank, size);
InMemoryLogger = new InMemoryLogger();
optimisationEngine = CreateEngine(evaluator, TemplateParameterSet, seedsPopulation, InMemoryLogger, arguments.Name, arguments.InitString);
}
/// <summary>
/// Initialises a new instance of GenerationViewModel with the specified universe size.
/// </summary>
/// <param name="universeSize">Universesize.</param>
public GenerationViewModel(int universeSize)
{
engine = new EvolutionEngine(new Generation(universeSize));
EvolveCommand = new RelayCommand<object>(
_ => EvolveGeneration(),
_ => CanEvolveGeneration()
);
ResetCommand = new RelayCommand<object>(
_ => ResetGame(),
_ => CanResetGame()
);
ToggleCellLifeCommand = new RelayCommand<string>(
(cellRowColumn) => ToggleCellLife(cellRowColumn),
_ => CanToggleCellLife()
);
GenerationNumber = engine.CurrentGenerationNumber;
}
public void SetEvolutionEngine(IEvolutionEngine <T> engine)
{
this.rosen = engine as RosenbrockOptimizer <T, U>;
}
