#region License Information
/* HeuristicLab
* Copyright (C) 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 HEAL.Attic;
namespace HeuristicLab.Optimization {
[Item("Single-Objective Heuristic OptimizationProblem", "A base class for single-objective heuristic optimization problems.")]
[StorableType("DFD5588E-6AB2-4712-9083-A405EF21226F")]
public abstract class SingleObjectiveHeuristicOptimizationProblem : HeuristicOptimizationProblem, ISingleObjectiveHeuristicOptimizationProblem
where T : class, ISingleObjectiveEvaluator
where U : class, ISolutionCreator {
private const string MaximizationParameterName = "Maximization";
private const string BestKnownQualityParameterName = "BestKnownQuality";
[StorableConstructor]
protected SingleObjectiveHeuristicOptimizationProblem(StorableConstructorFlag _) : base(_) { }
protected SingleObjectiveHeuristicOptimizationProblem(SingleObjectiveHeuristicOptimizationProblem original, Cloner cloner) : base(original, cloner) { }
protected SingleObjectiveHeuristicOptimizationProblem()
: base() {
Parameters.Add(new ValueParameter(MaximizationParameterName, "Set to false if the problem should be minimized.", new BoolValue()));
Parameters.Add(new OptionalValueParameter(BestKnownQualityParameterName, "The quality of the best known solution of this problem."));
}
protected SingleObjectiveHeuristicOptimizationProblem(T evaluator, U solutionCreator)
: base(evaluator, solutionCreator) {
Parameters.Add(new ValueParameter(MaximizationParameterName, "Set to false if the problem should be minimized.", new BoolValue()));
Parameters.Add(new OptionalValueParameter(BestKnownQualityParameterName, "The quality of the best known solution of this problem."));
}
[StorableHook(HookType.AfterDeserialization)]
private void AfterDeserialization() {
// BackwardsCompatibility3.3
#region Backwards compatible code (remove with 3.4)
if (BestKnownQualityParameter is ValueParameter) {
Parameters.Remove(BestKnownQualityParameterName);
Parameters.Add(new OptionalValueParameter(BestKnownQualityParameterName, "The quality of the best known solution of this problem."));
}
#endregion
}
public ValueParameter MaximizationParameter {
get { return (ValueParameter)Parameters[MaximizationParameterName]; }
}
IParameter ISingleObjectiveHeuristicOptimizationProblem.MaximizationParameter {
get { return MaximizationParameter; }
}
public BoolValue Maximization {
get { return MaximizationParameter.Value; }
set { MaximizationParameter.Value = value; }
}
public IValueParameter BestKnownQualityParameter {
get { return (IValueParameter)Parameters[BestKnownQualityParameterName]; }
}
IParameter ISingleObjectiveHeuristicOptimizationProblem.BestKnownQualityParameter {
get { return BestKnownQualityParameter; }
}
public DoubleValue BestKnownQuality {
get { return BestKnownQualityParameter.Value; }
set { BestKnownQualityParameter.Value = value; }
}
ISingleObjectiveEvaluator ISingleObjectiveHeuristicOptimizationProblem.Evaluator {
get { return Evaluator; }
}
}
}