#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 HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Optimization; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Problems.Programmable { [Item("Multi-objective Problem Definition Script", "Script that defines the parameter vector and evaluates the solution for a programmable problem.")] [StorableClass] public sealed class MultiObjectiveProblemDefinitionScript : ProblemDefinitionScript, IMultiObjectiveProblemDefinition, IStorableContent { public string Filename { get; set; } private new IMultiObjectiveProblemDefinition CompiledProblemDefinition { get { return (IMultiObjectiveProblemDefinition)base.CompiledProblemDefinition; } } [StorableConstructor] private MultiObjectiveProblemDefinitionScript(bool deserializing) : base(deserializing) { } private MultiObjectiveProblemDefinitionScript(MultiObjectiveProblemDefinitionScript original, Cloner cloner) : base(original, cloner) { } public MultiObjectiveProblemDefinitionScript() : base(ScriptTemplates.CompiledMultiObjectiveProblemDefinition) { } public override IDeepCloneable Clone(Cloner cloner) { return new MultiObjectiveProblemDefinitionScript(this, cloner); } bool[] IMultiObjectiveProblemDefinition.Maximization { get { return CompiledProblemDefinition.Maximization; } } double[] IMultiObjectiveProblemDefinition.Evaluate(Individual individual, IRandom random) { return CompiledProblemDefinition.Evaluate(individual, random); } void IMultiObjectiveProblemDefinition.Analyze(Individual[] individuals, double[][] qualities, ResultCollection results, IRandom random) { CompiledProblemDefinition.Analyze(individuals, qualities, results, random); } } }