public void Execute(Logger.Logger logger)
{
void logGeneration(int generation, double bestFitness, double averageFitness, double worstFitness)
{
logger.LogGeneticThenSaTtp1(generation, bestFitness, averageFitness, worstFitness, null, null);
}
void logOutro(List <double> bestFitnesses)
{
logger.LogOutro(bestFitnesses);
}
var finalPopulations = Genetic.Execute(logGeneration, logOutro);
void logAnnealingCycle(int annealingCycle, double globalBestFitness, double bestFitness, double currentFitness)
{
logger.LogGeneticThenSaTtp1(annealingCycle, globalBestFitness, null, null, bestFitness, currentFitness);
}
foreach (var population in finalPopulations)
{
var bestFitness = double.MinValue;
IIndividual bestIndiv = null;
population.ForEach(indiv =>
{
var fitness = Problem.Fitness(indiv);
if (fitness > bestFitness)
{
bestFitness = fitness;
bestIndiv = indiv;
}
});
if (bestIndiv == null)
{
continue;
}
Annealing.Execute(logAnnealingCycle, logOutro, bestIndiv, Parameters.GeneticParameters.NumGenerations);
}
}
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);
}