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);
}
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 GeneticTtp1(Problem.Problem problem, string algorithmSrcFilePath, string outputFilePath,
string logOutputType)
{
var algorithmParams = Loader.Loader.LoadGeneticTtp1Params(algorithmSrcFilePath);
if (algorithmParams == null)
{
Console.WriteLine("Error reading genetic ttp1's configuration src file.");
return;
}
Console.WriteLine("Done reading genetic ttp1's configuration src file.");
var logger = new Logger.Logger(outputFilePath, logOutputType);
try
{
logger.LogGeneticTtp1Intro(algorithmParams);
}
catch (Exception e)
{
Console.WriteLine(e.ToString());
Console.WriteLine("Error writing to the log output file.");
return;
}
void logGeneration(int generation, double bestFitness, double averageFitness, double worstFitness)
{
logger.LogGeneticTtp1Generation(generation, bestFitness, averageFitness, worstFitness);
}
void logOutro(List <double> bestFitnesses)
{
logger.LogOutro(bestFitnesses);
}
var algorithm = new GaTtp1(problem, algorithmParams);
algorithm.Execute(logGeneration, logOutro);
}
