private static void GeneticThenAnnealingTtp1(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 annealingTtp1Params = Loader.Loader.LoadAnnealingTtp1Params(algorithmSrcFilePath);
if (annealingTtp1Params == null)
{
Console.WriteLine("Error reading annealing ttp1's configuration src file.");
return;
}
Console.WriteLine("Done reading annealing ttp1's configuration src file.");
var hybridParams = new GaThenSATtp1Parameters
{
GeneticParameters = geneticTtp1Params,
AnnealingParameters = annealingTtp1Params,
};
var logger = new Logger.Logger(outputFilePath, logOutputType);
try
{
logger.LogGeneticThenSaTTp1Intro(hybridParams);
}
catch (Exception e)
{
Console.WriteLine(e.ToString());
Console.WriteLine("Error writing to the log output file.");
return;
}
var hybrid = new GaThenSaTtp1(problem, hybridParams);
hybrid.Execute(logger);
}
public void LogGeneticThenSaTTp1Intro(GaThenSATtp1Parameters parameters)
{
using (var file = new System.IO.StreamWriter(OutputPath, true))
{
file.WriteLine("NUMBER OF ITERATIONS:" + parameters.GeneticParameters.NumAlgorithmIterations);
file.WriteLine("POPULATION SIZE:" + parameters.GeneticParameters.PopulationSize);
file.WriteLine("NUMBER OF GENERATIONS:" + parameters.GeneticParameters.NumGenerations);
file.WriteLine("MUTATION PROBABILITY:" + parameters.GeneticParameters.MutationProbability);
file.WriteLine("CROSSING PROBABILITY:" + parameters.GeneticParameters.CrossProbability);
file.WriteLine("TOURNAMENT SIZE:" + parameters.GeneticParameters.TournamentSize);
file.WriteLine("NEIGHBOURHOOD SIZE:" + parameters.AnnealingParameters.NeighbourhoodSize);
file.WriteLine("INITIAL TEMPERATURE:" + parameters.AnnealingParameters.InitialTemperature);
file.WriteLine("TEMPERATURE PERCENTAGE DROP PER ANNEALING CYCLE:" +
parameters.AnnealingParameters.TemperaturePercentageDropPerCycle);
if (LogOutputType == AlgorithmLogOutput)
{
file.WriteLine("GENERATION/ANNEALING CYCLE;BEST FITNESS;AVERAGE FITNESS; WORST FITNESS;" +
"GLOBAL BEST FITENSS; CURRENT FITNESS");
}
}
}
