#region License Information /* HeuristicLab * Copyright (C) 2002-2015 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.Drawing; using HeuristicLab.Common; using HeuristicLab.Common.Resources; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Optimization; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; using HeuristicLab.Scripting; namespace HeuristicLab.Problems.Programmable { [Item("Programmable Problem (multi-objective)", "Represents a multi-objective problem that can be programmed with a script.")] [Creatable(CreatableAttribute.Categories.Problems, Priority = 120)] [StorableClass] public class MultiObjectiveProgrammableProblem : MultiObjectiveProblem, IProgrammableItem, IProgrammableProblem where TEncoding : class, IEncoding where TSolution : class, ISolution { protected static readonly string ENCODING_NAMESPACE = "ENCODING_NAMESPACE"; protected static readonly string ENCODING_CLASS = "ENCODING_CLASS"; protected static readonly string SOLUTION_CLASS = "SOLUTION_CLASS"; public static new Image StaticItemImage { get { return VSImageLibrary.Script; } } private FixedValueParameter> MultiObjectiveProblemScriptParameter { get { return (FixedValueParameter>)Parameters["ProblemScript"]; } } Script IProgrammableProblem.ProblemScript { get { return ProblemScript; } } public MultiObjectiveProblemDefinitionScript ProblemScript { get { return MultiObjectiveProblemScriptParameter.Value; } } public IMultiObjectiveProblemDefinition ProblemDefinition { get { return MultiObjectiveProblemScriptParameter.Value; } } [StorableConstructor] protected MultiObjectiveProgrammableProblem(bool deserializing) : base(deserializing) { } protected MultiObjectiveProgrammableProblem(MultiObjectiveProgrammableProblem original, Cloner cloner) : base(original, cloner) { RegisterEvents(); } public override IDeepCloneable Clone(Cloner cloner) { return new MultiObjectiveProgrammableProblem(this, cloner); } public MultiObjectiveProgrammableProblem() : base() { Parameters.Add(new FixedValueParameter>("ProblemScript", "Defines the problem.", new MultiObjectiveProblemDefinitionScript() { Name = Name })); ProblemScript.Encoding = (TEncoding)Encoding.Clone(); var codeTemplate = ScriptTemplates.MultiObjectiveProblem_Template; codeTemplate = codeTemplate.Replace(ENCODING_NAMESPACE, typeof(TEncoding).Namespace); codeTemplate = codeTemplate.Replace(ENCODING_CLASS, typeof(TEncoding).Name); codeTemplate = codeTemplate.Replace(SOLUTION_CLASS, typeof(TSolution).Name); ProblemScript.Code = codeTemplate; RegisterEvents(); } [StorableHook(HookType.AfterDeserialization)] private void AfterDeserialization() { RegisterEvents(); } private void RegisterEvents() { ProblemScript.ProblemDefinitionChanged += (o, e) => OnProblemDefinitionChanged(); } private void OnProblemDefinitionChanged() { Parameters.Remove("Maximization"); Parameters.Add(new ValueParameter("Maximization", "Set to false if the problem should be minimized.", (BoolArray)new BoolArray(Maximization).AsReadOnly()) { Hidden = true }); Encoding = (TEncoding)ProblemScript.Encoding.Clone(); OnOperatorsChanged(); OnReset(); } public override bool[] Maximization { get { return Parameters.ContainsKey("ProblemScript") ? ProblemDefinition.Maximization : new[] { false }; } } public override double[] Evaluate(TSolution individual, IRandom random) { return ProblemDefinition.Evaluate(individual, random); } public override void Analyze(TSolution[] individuals, double[][] qualities, ResultCollection results, IRandom random) { ProblemDefinition.Analyze(individuals, qualities, results, random); } } }