public string[] Start()
{
var data = LoadData();
var result = new string[Config.GenerationsNumber];
// var stringBuilder = new StringBuilder();
var operators = new GeneticOperators(data);
var population = operators.GeneratePopulation(Config.PopulationSize);
operators.CalculateSpecimensValues(population);
WriteLine("Capacity of knapsack = " + data.CapacityOfKnapsack);
for (var i = 0; i < Config.GenerationsNumber; i++)
{
var selectedSpecimens = operators.TourSelection(population);
// var selectedSpecimens = operators.RouletteSelection(population);
var newPopulation = operators.Crossover(selectedSpecimens);
operators.Mutation(newPopulation);
operators.CalculateSpecimensValues(newPopulation);
var stats = operators.GetStats(newPopulation, i);
WriteLine($"{i} {stats} ");
result[i] = stats;
// stringBuilder.AppendLine(string.Join(";", stats));
population = newPopulation;
}
return(result);
// SaveData(stringBuilder.ToString());
}
public string[] StartRandom()
{
var data = LoadData();
var result = new string[Config.GenerationsNumber];
var operators = new GeneticOperators(data);
var bestValue = double.NegativeInfinity;
for (var i = 0; i < Config.GenerationsNumber; i++)
{
var randomPopulation = operators.GeneratePopulation(Config.PopulationSize);
operators.CalculateSpecimensValues(randomPopulation);
var ranking = randomPopulation.OrderByDescending(specimen => specimen.Value);
var currBestValue = ranking.First().Value;
if (currBestValue > bestValue)
{
bestValue = currBestValue;
}
WriteLine($"{i} {bestValue} ");
result[i] = bestValue.ToString();
}
return(result);
}