static void Main(string[] args)
{
int populationSize = 10;
int numberOfEpoch = 50;
int numberOfExecution = 1;
double probabilityOfMutation = 0.1;
string file = @"WesternSahara.txt";
Cities testCities = new Cities(file);
IParentSelection parentSelection = new TournamentSelection();
ICrossover crossover = new PMX();
IMutation mutation = new InsertionMutation(probabilityOfMutation);
string filename = DateTime.Now.ToString("yyyy-MM-dd HH;mm");
//Test 1 - PMX
TSPAlgorithm tsp = new TSPAlgorithm(numberOfEpoch, populationSize, testCities, parentSelection, mutation, crossover);
AlgorithmExecutor AE = new AlgorithmExecutor(tsp, numberOfExecution);
AE.Start();
AE.SaveInformations(filename + ".txt");
//AE.ExportStatisticsToCsv(filename + "_stats.csv");
/* Test 2 - CX
* crossover = new CX();
* tsp = new TSPAlgorithm(numberOfEpoch, populationSize, testCities, parentSelection, mutation, crossover);
* AE = new AlgorithmExecutor(tsp, numberOfExecution);
* AE.Start();
* AE.SaveInformations(filename + ".txt");
* AE.ExportStatisticsToCsv(filename + "_stats.csv");
*
* // Test 3 - OX
* crossover = new OX();
* tsp = new TSPAlgorithm(numberOfEpoch, populationSize, testCities, parentSelection, mutation, crossover);
* AE = new AlgorithmExecutor(tsp, numberOfExecution);
* AE.Start();
* AE.SaveInformations(filename + ".txt");
* AE.ExportStatisticsToCsv(filename + "_stats.csv");
*
* // Test 4 - AEX
* crossover = new AEX();
* tsp = new TSPAlgorithm(numberOfEpoch, populationSize, testCities, parentSelection, mutation, crossover);
* AE = new AlgorithmExecutor(tsp, numberOfExecution);
* AE.Start();
* AE.SaveInformations(filename + ".txt");
* AE.ExportStatisticsToCsv(filename + "_stats.csv");
*
* // Test 5 - SCC
* crossover = new SCC();
* tsp = new TSPAlgorithm(numberOfEpoch, populationSize, testCities, parentSelection, mutation, crossover);
* AE = new AlgorithmExecutor(tsp, numberOfExecution);
* AE.Start();
* AE.SaveInformations(filename + ".txt");
* AE.ExportStatisticsToCsv(filename + "_stats.csv");
*
* //Test 6 - SCC
* crossover = new ClassicalCrossover();
* mutation = new ClassicMutationInOrdinalRepresentation(probabilityOfMutation);
* tsp = new TSPAlgorithm(numberOfEpoch, populationSize, testCities, parentSelection, mutation, crossover);
* AE = new AlgorithmExecutor(tsp, numberOfExecution);
* AE.Start();
* //AE.SaveInformations(filename + ".txt");
* //AE.ExportStatisticsToCsv(filename + "_stats.csv");
*/
Console.ReadKey();
}
