private static void GeneticPeriodicTabuTtp1(Problem.Problem problem, string algorithmSrcFilePath,
string outputFilePath,
string logOutputType)
{
var geneticTtp1Params = Loader.Loader.LoadGeneticTtp1Params(algorithmSrcFilePath);
if (geneticTtp1Params == null)
{
Console.WriteLine("Error reading genetic ttp1's configuration src file.");
return;
}
Console.WriteLine("Done reading genetic ttp1's configuration src file.");
var tabuTtp1Params = Loader.Loader.LoadTabuTtp1Params(algorithmSrcFilePath);
if (tabuTtp1Params == null)
{
Console.WriteLine("Error reading genetic ttp1's configuration src file.");
return;
}
Console.WriteLine("Done reading genetic ttp1's configuration src file.");
var hybridParams = new GeneticPeriodicTabuParameters
{
GeneticParameters = geneticTtp1Params,
TabuParameters = tabuTtp1Params,
};
var logger = new Logger.Logger(outputFilePath, logOutputType);
try
{
logger.LogGeneticPeriodicTabuIntro(hybridParams);
}
catch (Exception e)
{
Console.WriteLine(e.ToString());
Console.WriteLine("Error writing to the log output file.");
return;
}
var hybrid = new GeneticPeriodicTabu(problem, hybridParams);
hybrid.Execute(logger);
}
private static void SimulatedAnnealingTtp1(Problem.Problem problem, string algorithmSrcFilePath,
string outputFilePath, string logOutputType)
{
var algorithmParams = Loader.Loader.LoadAnnealingTtp1Params(algorithmSrcFilePath);
if (algorithmParams == null)
{
Console.WriteLine("Error reading annealing ttp1's configuration src file.");
return;
}
Console.WriteLine("Done reading annealing ttp1's configuration src file.");
var logger = new Logger.Logger(outputFilePath, logOutputType);
try
{
logger.LogAnnealingTtp1Intro(algorithmParams);
}
catch (Exception e)
{
Console.WriteLine(e.ToString());
Console.WriteLine("Error writing to annealing ttp1's log output file.");
return;
}
var algorithm = new AnnealingTtp1(problem, algorithmParams);
void logAnnealingCycle(int annealingCycle, double globalBestFitness, double bestFitness, double currentFitness)
{
logger.LogGeneticThenSaTtp1(annealingCycle, globalBestFitness, null, null, bestFitness, currentFitness);
}
void logOutro(List <double> bestFitnesses)
{
logger.LogOutro(bestFitnesses);
}
algorithm.Execute(logAnnealingCycle, logOutro);
}
private static void GeneticTtp1(Problem.Problem problem, string algorithmSrcFilePath, string outputFilePath,
string logOutputType)
{
var algorithmParams = Loader.Loader.LoadGeneticTtp1Params(algorithmSrcFilePath);
if (algorithmParams == null)
{
Console.WriteLine("Error reading genetic ttp1's configuration src file.");
return;
}
Console.WriteLine("Done reading genetic ttp1's configuration src file.");
var logger = new Logger.Logger(outputFilePath, logOutputType);
try
{
logger.LogGeneticTtp1Intro(algorithmParams);
}
catch (Exception e)
{
Console.WriteLine(e.ToString());
Console.WriteLine("Error writing to the log output file.");
return;
}
void logGeneration(int generation, double bestFitness, double averageFitness, double worstFitness)
{
logger.LogGeneticTtp1Generation(generation, bestFitness, averageFitness, worstFitness);
}
void logOutro(List <double> bestFitnesses)
{
logger.LogOutro(bestFitnesses);
}
var algorithm = new GaTtp1(problem, algorithmParams);
algorithm.Execute(logGeneration, logOutro);
}
private static void TabuSearchTtp1(Problem.Problem problem, string algorithmSrcFilePath, string outputFilePath,
string logOutputType)
{
var algorithmParams = Loader.Loader.LoadTabuTtp1Params(algorithmSrcFilePath);
if (algorithmParams == null)
{
Console.WriteLine("Error reading tabu ttp1's configuration src file.");
return;
}
Console.WriteLine("Done reading tabu ttp1's configuration src file.");
var logger = new Logger.Logger(outputFilePath, logOutputType);
try
{
logger.LogTabuTtp1Intro(algorithmParams);
}
catch (Exception e)
{
Console.WriteLine(e.ToString());
Console.WriteLine("Error writing to tabu ttp1's log output file.");
return;
}
void logTabuSearch(int numTabuSearch, double bestFitness, double currentFitness)
{
logger.LogTabuTtp1Search(numTabuSearch, bestFitness, currentFitness);
}
void logOutro(List <double> bestFitnesses)
{
logger.LogOutro(bestFitnesses);
}
var algorithm = new TabuTtp1(problem, algorithmParams);
algorithm.Execute(logTabuSearch, logOutro);
}
