public void Run(int generations, double crossoverProbability, double mutationProbability, int populationSize)
{
_simulationParameters.Items = PickItemsGreedy();
var initialPopulation = InitializePopulation(populationSize).ToList();
initialPopulation = _evaluator.EvaluatePopulation(initialPopulation, _simulationParameters).ToList();
_logger.Log(0, initialPopulation);
for (var i = 0; i < generations; i++)
{
var currentPopulation = _selector.SelectIndividuals(initialPopulation).ToList();
currentPopulation.AddRange(_breeder.CrossOver(currentPopulation, crossoverProbability));
if (currentPopulation.Count != populationSize)
{
currentPopulation = FixPopulation(currentPopulation, populationSize).ToList();
}
currentPopulation = currentPopulation
.Select(s => _mutator
.MutateIndividualOrNot(s, mutationProbability))
.ToList();
currentPopulation = _evaluator.EvaluatePopulation(currentPopulation, _simulationParameters).ToList();
initialPopulation = currentPopulation;
_logger.Log(i + 1, currentPopulation);
}
}
