public GeneticPeriodicTabu(Problem.Problem problem, GeneticPeriodicTabuParameters parameters)
{
Problem = problem;
Genetic = new GaTtp1(problem, parameters.GeneticParameters);
var tabuParameters = new TabuParameters
{
NeighbourhoodSize = parameters.TabuParameters.NeighbourhoodSize,
NumAlgorithmIterations = 1,
NumTabuSearches = parameters.TabuParameters.NumTabuSearches,
TabuSize = parameters.TabuParameters.TabuSize,
};
Parameters = parameters;
Parameters.TabuParameters = tabuParameters;
Tabu = new TabuTtp1(problem, tabuParameters);
}
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);
}
