#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; }
}
}
}