Esempio n. 1
0
        private static void GeneticPeriodicTabuTtp1(Problem.Problem problem, string algorithmSrcFilePath,
                                                    string outputFilePath,
                                                    string logOutputType)
        {
            var geneticTtp1Params = Loader.Loader.LoadGeneticTtp1Params(algorithmSrcFilePath);

            if (geneticTtp1Params == null)
            {
                Console.WriteLine("Error reading genetic ttp1's configuration src file.");
                return;
            }

            Console.WriteLine("Done reading genetic ttp1's configuration src file.");

            var tabuTtp1Params = Loader.Loader.LoadTabuTtp1Params(algorithmSrcFilePath);

            if (tabuTtp1Params == null)
            {
                Console.WriteLine("Error reading genetic ttp1's configuration src file.");
                return;
            }

            Console.WriteLine("Done reading genetic ttp1's configuration src file.");

            var hybridParams = new GeneticPeriodicTabuParameters
            {
                GeneticParameters = geneticTtp1Params,
                TabuParameters    = tabuTtp1Params,
            };

            var logger = new Logger.Logger(outputFilePath, logOutputType);

            try
            {
                logger.LogGeneticPeriodicTabuIntro(hybridParams);
            }
            catch (Exception e)
            {
                Console.WriteLine(e.ToString());
                Console.WriteLine("Error writing to the log output file.");
                return;
            }

            var hybrid = new GeneticPeriodicTabu(problem, hybridParams);

            hybrid.Execute(logger);
        }
Esempio n. 2
0
 public void LogGeneticPeriodicTabuIntro(GeneticPeriodicTabuParameters parameters)
 {
     using (var file = new System.IO.StreamWriter(OutputPath, true))
     {
         file.WriteLine("NUMBER OF ITERATIONS:" + parameters.GeneticParameters.NumAlgorithmIterations);
         file.WriteLine("POPULATION SIZE:" + parameters.GeneticParameters.PopulationSize);
         file.WriteLine("NUMBER OF GENERATIONS:" + parameters.GeneticParameters.NumGenerations);
         file.WriteLine("MUTATION PROBABILITY:" + parameters.GeneticParameters.MutationProbability);
         file.WriteLine("CROSSING PROBABILITY:" + parameters.GeneticParameters.CrossProbability);
         file.WriteLine("TOURNAMENT SIZE:" + parameters.GeneticParameters.TournamentSize);
         file.WriteLine("NEIGHBOURHOOD SIZE:" + parameters.TabuParameters.NeighbourhoodSize);
         file.WriteLine("NUMBER OF TABU SEARCHES:" + parameters.TabuParameters.NumTabuSearches);
         file.WriteLine("TABU SIZE:" + parameters.TabuParameters.TabuSize);
         if (LogOutputType == AlgorithmLogOutput)
         {
             file.WriteLine("GENERATION/TABU SEARCH;BEST FITNESS;AVERAGE FITNESS; WORST FITNESS; CURRENT FITNESS");
         }
     }
 }