public void Execute(Logger.Logger logger)
{
void logGeneration(int generation, double bestFitness, double averageFitness, double worstFitness)
{
logger.LogGeneticPeriodicTabu(generation, bestFitness, averageFitness, worstFitness, null);
}
void logOutro(List <double> bestFitnesses)
{
logger.LogOutro(bestFitnesses);
}
void logTabuCycle(int tabuCycle, double bestFitness, double currentFitness)
{
logger.LogGeneticPeriodicTabu(tabuCycle, bestFitness, null, null, currentFitness);
}
var populations = new List <List <IIndividual> >();
for (var i = 0; i < Parameters.GeneticParameters.NumAlgorithmIterations; i++)
{
populations.Add(Genetic.InitializePopulation().Select(indiv =>
{
return(Tabu.Execute(logTabuCycle, logOutro, indiv)[0]);
}).ToList());
}
Genetic.Execute(logGeneration, logOutro, Parameters.TabuParameters.NumTabuSearches, populations);
}
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);
}