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); }