static bool RunRandomAlgorytm(string sourceFileName, int amountOfRandoms)
{
DateTime date = DateTime.Now;
int calculationNumber = CalculationNumber++;
CapacitatedVehicleRoutingProblem problem = new CapacitatedVehicleRoutingProblem();
problem.GetDataFromSourceFile(_inputFolderPath + sourceFileName);
RandomAlgorythm algorythm = new RandomAlgorythm(problem, amountOfRandoms);
var result = algorythm.Calculate();
SaveRandomResultToFile(result, _outputFolderPath + sourceFileName + date.Month + "_" + date.Day + "_" + date.Hour + "_" + date.Minute + "_" + date.Second + "_random");
Console.WriteLine("Hello World! 2");
return(true);
}
static bool RunGeneticAlgorytm(float crossProbability, float mutationProbability, int amountOfGenerations, int generationSize, int tournamentSize, string sourceFileName, bool useRoulette, out float bestScore, bool mutationBySwap, bool crossOX)
{
DateTime date = DateTime.Now;
int calculationNumber = CalculationNumber++;
Thread.CurrentThread.Name = GetOutputFileName(date, crossProbability, mutationProbability, amountOfGenerations, generationSize, tournamentSize, useRoulette, sourceFileName, calculationNumber);
CapacitatedVehicleRoutingProblem problem = new CapacitatedVehicleRoutingProblem();
problem.GetDataFromSourceFile(_inputFolderPath + sourceFileName);
GeneticAlgorythm algorythm = new GeneticAlgorythm(problem, crossProbability, mutationProbability,
amountOfGenerations, generationSize, tournamentSize, useRoulette, mutationBySwap, crossOX);
var result = algorythm.Calculate();
SaveResultToFile(result, _outputFolderPath + GetOutputFileName(date, crossProbability, mutationProbability,
amountOfGenerations, generationSize, tournamentSize, useRoulette, sourceFileName, calculationNumber), problem);
Console.WriteLine("Hello World! 2");
bestScore = result[result.Length - 1].Max;
return(true);
}
static bool RunGreedyAlgorytm(string sourceFileName)
{
var tasks = new List <Task <float> >();
DateTime date = DateTime.Now;
List <string> lines = new List <string>();
int calculationNumber = CalculationNumber++;
CapacitatedVehicleRoutingProblem problem = new CapacitatedVehicleRoutingProblem();
problem.GetDataFromSourceFile(_inputFolderPath + sourceFileName);
float sum = 0;
List <float> results = new List <float>();
for (int i = 0; i < 59; i++)
{
var result = (new GreedyAlgorythm(problem, i)).Calculate();
results.Add(result.Value);
}
sum = results.Sum();
//obliczenie średniej i odchylenia standardowego
float average = sum / results.Count;
float max = results.Max();
float min = results.Min();
float averageDiviationsSum = 0;
float standardDeviation = 0;
for (int i = 0; i < results.Count; i++)
{
averageDiviationsSum += (float)Math.Pow(results[i] - average, 2);
}
standardDeviation = (float)Math.Sqrt(averageDiviationsSum / results.Count);
//obliczenie średniej i odchylenia standardowego
lines.Add("max: " + (int)max);
lines.Add("min: " + (int)min);
lines.Add("average: " + (int)average);
lines.Add("standardDeviation: " + (int)standardDeviation);
File.AppendAllLines(_outputFolderPath + "greedy1" + ".txt", lines);
return(true);
}
