#region License Information /* HeuristicLab * Copyright (C) 2002-2010 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.Data; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Optimization { [Item("Multi-Objective Problem", "A base class for multi-objective problems.")] [StorableClass] public abstract class MultiObjectiveProblem : Problem, IMultiObjectiveProblem where T : class, IMultiObjectiveEvaluator where U : class, ISolutionCreator { private const string MaximizationParameterName = "Maximization"; [StorableConstructor] protected MultiObjectiveProblem(bool deserializing) : base(deserializing) { } protected MultiObjectiveProblem(MultiObjectiveProblem original, Cloner cloner) : base(original, cloner) { } protected MultiObjectiveProblem() : base() { Parameters.Add(new ValueParameter(MaximizationParameterName, "Determines for each objective whether it should be maximized or minimized.")); } public ValueParameter MaximizationParameter { get { return (ValueParameter)Parameters[MaximizationParameterName]; } } IParameter IMultiObjectiveProblem.MaximizationParameter { get { return MaximizationParameter; } } public BoolArray Maximization { get { return MaximizationParameter.Value; } protected set { MaximizationParameter.Value = value; } } IMultiObjectiveEvaluator IMultiObjectiveProblem.Evaluator { get { return Evaluator; } } } }