public GaThenSaTtp1(Problem.Problem problem, GaThenSATtp1Parameters parameters)
{
Problem = problem;
Genetic = new GaTtp1(problem, parameters.GeneticParameters);
var annealingParams = new AnnealingParameters
{
InitialTemperature = parameters.AnnealingParameters.InitialTemperature,
NeighbourhoodSize = parameters.AnnealingParameters.NeighbourhoodSize,
NumAlgorithmIterations = 1,
NumAnnealingCycles = parameters.AnnealingParameters.NumAnnealingCycles,
TemperaturePercentageDropPerCycle = parameters.AnnealingParameters.TemperaturePercentageDropPerCycle,
};
Parameters = parameters;
Parameters.AnnealingParameters = annealingParams;
Annealing = new AnnealingTtp1(problem, annealingParams);
}
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);
}
