private void radioButton1_CheckedChanged(object sender, EventArgs e)
{
ChromosomeOperator.ChangeOperator(new CrossoverOperatorAEX());
}
private void rbCrossoverTwoPoint_CheckedChanged(object sender, EventArgs e)
{
ChromosomeOperator.ChangeOperator(new CrossoverOperatorOX());
}
private void rbMutationInsertion_CheckedChanged(object sender, EventArgs e)
{
ChromosomeOperator.ChangeOperator(new MutationOperatorInsertions());
}
private void rbMutationRSM_CheckedChanged(object sender, EventArgs e)
{
ChromosomeOperator.ChangeOperator(new MutationOperatorRSM());
}
static void Main(string[] args)
{
//timerInterval = new List<double>
//{
// 100
//};
//duration = new List<double>
//{
// 600
//};
TspLib95 lib = new TspLib95(tspLibPath);
var tspList = lib.LoadAllTSP().ToList();
var tspItemNumbers = new List <int> {
39 // - 21 city
,
2 //- 49
,
27 //- 70+
,
25 //- 101
,
44 //- 666
};
var tspItems = new Dictionary <int, TspLib95Item>();
foreach (var id in tspItemNumbers)
{
tspItems.Add(id, tspList[id]);
}
List <ICrossoverOperator> crossovers = new List <ICrossoverOperator>()
{
new CrossoverOperatorOX(),
new CrossoverOperatorPMX(),
new CrossoverOperatorAEX(),
//new CrossoverOperatorAEXWithShortestDistance()
};
List <IMutationOperator> mutations = new List <IMutationOperator>()
{
new MutationOperatorRSM(),
new MutationOperatorInsertions(),
new MutationOperatorPSM(),
//new MutationOperatorHalfRSMHalfPSM(),
};
var number = 100;
//int city = 0, cI = 0, mI = 0, nI = 0;
//var dOp = new DistanceOperator(tspItems[tspItemNumbers[city]].Problem.NodeProvider.CountNodes());
//dOp.CalculateDistance(tspItems[tspItemNumbers[city]].Problem);
//ChromosomeOperator.ChangeOperator(crossovers[cI]);
//ChromosomeOperator.ChangeOperator(mutations[mI]);
//var reportManager = new ReportManager(number[nI], tspItemNumbers[city],
// tspItems[tspItemNumbers[city]].Problem.Name);
//var tspManager = new TSPManager(dOp, 1, 1, reportManager.NextGeneration);
//tspManager.Start();
//reportManager.EndOfAlgorithm(tspManager.Population);
var indx = 0;
var total = tspItemNumbers.Count * crossovers.Count * mutations.Count * number;
for (int city = 0; city < tspItemNumbers.Count; city++)
{
var dOp = new DistanceOperator(tspItems[tspItemNumbers[city]].Problem.NodeProvider.CountNodes());
dOp.CalculateDistance(tspItems[tspItemNumbers[city]].Problem);
for (int cI = 0; cI < crossovers.Count; cI++)
{
ChromosomeOperator.ChangeOperator(crossovers[cI]);
for (int mI = 0; mI < mutations.Count; mI++)
{
ChromosomeOperator.ChangeOperator(mutations[mI]);
for (int nI = 2; nI <= number; nI++)
{
Console.WriteLine("{0}%", (double)indx / total * 100);
Console.WriteLine("start {0} : {1} {2} {3} {4}", indx++,
tspItemNumbers[city],
crossovers[cI].GetType().Name,
mutations[mI].GetType().Name,
nI
);
var reportManager = new ReportManager(nI, tspItemNumbers[city],
tspItems[tspItemNumbers[city]].Problem.Name);
//var tspManager = new TSPManager(dOp, 1, 1, reportManager.NextGeneration);
var tspManager = new TSPManager(dOp, 1, 1, reportManager.NextGeneration);
var timer = new Timer(timerInterval[city]);
currentCity = city;
timer.Elapsed += NextTick;
SetUpNewTest(tspManager.Population, reportManager);
timer.Start();
tspManager.Start(StopFunc);
timer.Stop();
reportManager.EndOfAlgorithm(tspManager.Population);
}
}
}
}
}
