/// <summary> /// Constructor. /// Creates a new multiobjective problem instance. /// </summary> /// <param name="solutionType">The solution type must "Real" or "BinaryReal", and "ArrayReal".</param> /// <param name="numberOfVariables">Number of variables</param> public NSGAIIProblem(string solutionType, MOO comp, int solutionsCounter) { this.component = comp; NumberOfVariables = comp.readSlidersList().Count; NumberOfObjectives = comp.objectives.Count; NumberOfConstraints = 0; ProblemName = "Multiobjective"; // Log comp.LogAddMessage("Number of Variables = " + NumberOfVariables); comp.LogAddMessage("Number of Objectives = " + NumberOfObjectives); comp.LogAddMessage("Number of Constraints = " + NumberOfConstraints); UpperLimit = new double[NumberOfVariables]; LowerLimit = new double[NumberOfVariables]; for (int i = 0; i < NumberOfVariables; i++) { GH_NumberSlider curSlider = comp.readSlidersList()[i]; LowerLimit[i] = (double)curSlider.Slider.Minimum; UpperLimit[i] = (double)curSlider.Slider.Maximum; } if (solutionType == "BinaryReal") { SolutionType = new BinaryRealSolutionType(this); } else if (solutionType == "Real") { SolutionType = new RealSolutionType(this); } else if (solutionType == "ArrayReal") { SolutionType = new ArrayRealSolutionType(this); } else { Console.WriteLine("Error: solution type " + solutionType + " is invalid"); //Logger.Log.Error("Solution type " + solutionType + " is invalid"); return; } // Log comp.LogAddMessage("Solution Type = " + solutionType); }
public MOOComponentAttributes(IGH_Component component) : base(component) { MyComponent = (MOO)component; }
/// <summary> /// Usage: three options /// - NSGAII /// - NSGAII problemName /// - NSGAII problemName paretoFrontFile /// </summary> /// <param name="args"></param> public NSGAIIRunner(string[] args, Problem p, string Path, MOO comp) { Problem problem = p; // The problem to solve Algorithm algorithm; // The algorithm to use Operator crossover; // Crossover operator Operator mutation; // Mutation operator Operator selection; // Selection operator this.comp = comp; Dictionary <string, object> parameters; // Operator parameters QualityIndicator indicators; // Object to get quality indicators // Logger object and file to store log messages //var logger = Logger.Log; //var appenders = logger.Logger.Repository.GetAppenders(); //var fileAppender = appenders[0] as log4net.Appender.FileAppender; //fileAppender.File = "NSGAII.log"; //fileAppender.ActivateOptions(); indicators = null; //if (args.Length == 1) //{ // object[] param = { "Real" }; // problem = ProblemFactory.GetProblem(args[0], param); //} //else if (args.Length == 2) //{ // object[] param = { "Real" }; // problem = ProblemFactory.GetProblem(args[0], param); // indicators = new QualityIndicator(problem, args[1]); //} //else //{ // Default problem // //problem = ; // //problem = new Kursawe("BinaryReal", 3); // //problem = new Water("Real"); // //problem = new ZDT3("ArrayReal", 30); // //problem = new ConstrEx("Real"); // //problem = new DTLZ1("Real"); // //problem = new OKA2("Real") ; //} algorithm = new NSGAII(problem, comp); //algorithm = new ssNSGAII(problem); // Algorithm parameters algorithm.SetInputParameter("populationSize", comp.popSize); algorithm.SetInputParameter("maxEvaluations", comp.maxEvals); comp.LogAddMessage("Population Size = " + comp.popSize); comp.LogAddMessage("Max Evaluations = " + comp.maxEvals); // Mutation and Crossover for Real codification parameters = new Dictionary <string, object>(); parameters.Add("probability", 0.9); parameters.Add("distributionIndex", 20.0); crossover = CrossoverFactory.GetCrossoverOperator("SBXCrossover", parameters); comp.LogAddMessage("Crossover Type = " + "SBXCrossover"); comp.LogAddMessage("Crossover Probability = " + 0.9); comp.LogAddMessage("Crossover Distribution Index = " + 20); parameters = new Dictionary <string, object>(); parameters.Add("probability", 1.0 / problem.NumberOfVariables); parameters.Add("distributionIndex", 20.0); mutation = MutationFactory.GetMutationOperator("PolynomialMutation", parameters); comp.LogAddMessage("Mutation Type = " + "Polynomial Mutation"); comp.LogAddMessage("Mutation Probability = " + (1 / problem.NumberOfVariables)); comp.LogAddMessage("Mutation Distribution Index = " + 20); // Selection Operator parameters = null; selection = SelectionFactory.GetSelectionOperator("BinaryTournament2", parameters); comp.LogAddMessage("Selection Type = " + "Binary Tournament 2"); // Add the operators to the algorithm algorithm.AddOperator("crossover", crossover); algorithm.AddOperator("mutation", mutation); algorithm.AddOperator("selection", selection); // Add the indicator object to the algorithm algorithm.SetInputParameter("indicators", indicators); // Execute the Algorithm long initTime = Environment.TickCount; SolutionSet population = algorithm.Execute(); long estimatedTime = Environment.TickCount - initTime; comp.LogAddMessage("Total Execution Time = " + estimatedTime + "ms"); // Result messages //logger.Info("Total execution time: " + estimatedTime + "ms"); //logger.Info("Variables values have been writen to file VAR"); //population.PrintVariablesToFile(@"C:\Users\Jonathas\Desktop\text.txt"); population.PrintVariablesToFile(@"" + comp.fileName + "VAR-" + comp.fileName); //logger.Info("Objectives values have been writen to file FUN"); population.PrintObjectivesToFile(@"" + comp.fileName + "OBJ-" + comp.fileName); // Saving all solutions to file //Console.WriteLine("Time: " + estimatedTime); //Console.ReadLine(); if (indicators != null) { //logger.Info("Quality indicators"); //logger.Info("Hypervolume: " + indicators.GetHypervolume(population)); //logger.Info("GD : " + indicators.GetGD(population)); //logger.Info("IGD : " + indicators.GetIGD(population)); //logger.Info("Spread : " + indicators.GetSpread(population)); //logger.Info("Epsilon : " + indicators.GetEpsilon(population)); int evaluations = (int)algorithm.GetOutputParameter("evaluations"); //logger.Info("Speed : " + evaluations + " evaluations"); } }
/// <summary> /// Constructor /// </summary> /// <param name="problem">Problem to solve</param> public NSGAII(Problem problem, MOO comp) : base(problem) { this.comp = comp; }