#region License Information /* HeuristicLab * Copyright (C) 2002-2013 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using System; using System.Collections.Generic; using HeuristicLab.Problems.GPDL.Views.Properties; using HeuristicLab.Problems.Instances; namespace HeuristicLab.Problems.GPDL.Views { public class GpdlExampleProvider : ProblemInstanceProvider { public override IEnumerable GetDataDescriptors() { return new IDataDescriptor[] { new GpdlExampleDataDescriptor("Artificial Ant", "The artificial ant problem.", Resources.Artificial_Ant), new GpdlExampleDataDescriptor("Lawn mower", "The lawn mower benchmark problem.", Resources.LawnMower), new GpdlExampleDataDescriptor("Factorial", "Evolve a program to calculate the factorial function.", Resources.Factorial), new GpdlExampleDataDescriptor("Fibonacci", "Evolve a problem to calculate the fibonacci function.", Resources.Fib), new GpdlExampleDataDescriptor("Multi-output multiplier", "Evolve a multi-output multiplier.", Resources.multi_output_multiplier), new GpdlExampleDataDescriptor("Even parity", "The even parity (4) benchmark problem.", Resources.EvenParity), new GpdlExampleDataDescriptor("Multiplexer (11)", "The Mux-11 multiplexer benchmark problem.", Resources.Multiplexer), new GpdlExampleDataDescriptor("Symbolic Regression (HEAL-style)", "A symbolic regression problem for genetic programming, using weights for variables.", Resources.symbreg_HEAL), new GpdlExampleDataDescriptor("Symbolic Regression (Koza-style)", "Koza-style symbolic regression problem for genetic programming.", Resources.symbreg_Koza), }; } public override string LoadData(IDataDescriptor descriptor) { var gpdlDescriptor = descriptor as GpdlExampleDataDescriptor; if (gpdlDescriptor == null) throw new ArgumentException("Cannot load this type of problem instance into the GPDL editor."); return gpdlDescriptor.Source; } public override string Name { get { return "GPDL Example Provider"; } } public override string Description { get { return "Provides a set of GPDL definitions for genetic programming problems."; } } public override Uri WebLink { get { return new Uri("http://dev.heuristiclab.com/GPDL"); } } public override string ReferencePublication { get { return "Kronberger G., Kommenda M., Wagner S., Dobler H. - GPDL: A Framework-Independent Problem Definition Language for Grammar Guided Genetic Programming. In GECCO'13 Companion, July 6-10, 2013, Amsterdam, ACM."; } } } }