protected OptimizationStep(OptimizationParameters parameters, Population population)
{
this.BestFitness = double.MaxValue;
this.parameters = parameters;
this.population = population;
bestFitnessCounter = FitnessCounterFactory.GetFitnessCounterForBest(parameters);
}
public Optimization(OptimizationParameters parameters,
Population population,
ISimulationRepository repository,
IFitnessCounter controlFitnessCounter)
{
this.parameters = parameters;
this.population = population;
this.repository = repository;
this.controlFitnessCounter = controlFitnessCounter;
}
private static void LoadControlFitnessParameters()
{
Logger.Instance.AddLine("Insert full path of control fitness parameters:");
var controlFitnessParametersPath = Console.ReadLine();
Logger.Instance.AddLine(controlFitnessParametersPath);
var controlFitnessParameters = repository.LoadOptimizationParametersByPath(controlFitnessParametersPath);
controlFitnessCounter = FitnessCounterFactory.GetFitnessCounterForBest(controlFitnessParameters);
}
public Selection(OptimizationParameters optimizationParameters, Population population, int numberOfWinners)
{
this.population = population;
this.numberOfWinners = numberOfWinners;
this.numberOfParticipants = optimizationParameters.NumberOfParticipants;
var randomSets = new RandomSetsList(
optimizationParameters.NumberOfRandomSets,
optimizationParameters.NumberOfShepherds,
optimizationParameters.NumberOfSheep,
StaticRandom.R.Next());
this.fitnessCounter = FitnessCounterFactory.GetFitnessCounterForTraining(optimizationParameters);
}
