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source: branches/DataAnalysis Refactoring/HeuristicLab.Optimization/3.3/SingleObjectiveHeuristicOptimizationProblem.cs @ 5713

Last change on this file since 5713 was 5618, checked in by mkommend, 14 years ago

#1418: Added symbolic data analysis problems.

File size: 3.8 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using HeuristicLab.Common;
23using HeuristicLab.Core;
24using HeuristicLab.Data;
25using HeuristicLab.Parameters;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27
28namespace HeuristicLab.Optimization {
29  [Item("Single-Objective Heuristic OptimizationProblem", "A base class for single-objective heuristic optimization problems.")]
30  [StorableClass]
31  public abstract class SingleObjectiveHeuristicOptimizationProblem<T, U> : HeuristicOptimizationProblem<T, U>, ISingleObjectiveHeuristicOptimizationProblem
32    where T : class, ISingleObjectiveEvaluator
33    where U : class, ISolutionCreator {
34    private const string MaximizationParameterName = "Maximization";
35    private const string BestKnownQualityParameterName = "BestKnownQuality";
36
37    [StorableConstructor]
38    protected SingleObjectiveHeuristicOptimizationProblem(bool deserializing) : base(deserializing) { }
39    protected SingleObjectiveHeuristicOptimizationProblem(SingleObjectiveHeuristicOptimizationProblem<T, U> original, Cloner cloner) : base(original, cloner) { }
40    protected SingleObjectiveHeuristicOptimizationProblem()
41      : base() {
42      Parameters.Add(new ValueParameter<BoolValue>(MaximizationParameterName, "Set to false if the problem should be minimized.", new BoolValue()));
43      Parameters.Add(new ValueParameter<DoubleValue>(BestKnownQualityParameterName, "The quality of the best known solution of this problem.", new DoubleValue()));
44    }
45
46    protected SingleObjectiveHeuristicOptimizationProblem(T evaluator, U solutionCreator)
47      : base(evaluator, solutionCreator) {
48      Parameters.Add(new ValueParameter<BoolValue>(MaximizationParameterName, "Set to false if the problem should be minimized.", new BoolValue()));
49      Parameters.Add(new ValueParameter<DoubleValue>(BestKnownQualityParameterName, "The quality of the best known solution of this problem.", new DoubleValue()));
50    }
51
52    public ValueParameter<BoolValue> MaximizationParameter {
53      get { return (ValueParameter<BoolValue>)Parameters[MaximizationParameterName]; }
54    }
55    IParameter ISingleObjectiveHeuristicOptimizationProblem.MaximizationParameter {
56      get { return MaximizationParameter; }
57    }
58    public BoolValue Maximization {
59      get { return MaximizationParameter.Value; }
60      protected set { MaximizationParameter.Value = value; }
61    }
62
63    public ValueParameter<DoubleValue> BestKnownQualityParameter {
64      get { return (ValueParameter<DoubleValue>)Parameters[BestKnownQualityParameterName]; }
65    }
66    IParameter ISingleObjectiveHeuristicOptimizationProblem.BestKnownQualityParameter {
67      get { return BestKnownQualityParameter; }
68    }
69    public DoubleValue BestKnownQuality {
70      get { return BestKnownQualityParameter.Value; }
71      protected set { BestKnownQualityParameter.Value = value; }
72    }
73
74    ISingleObjectiveEvaluator ISingleObjectiveHeuristicOptimizationProblem.Evaluator {
75      get { return Evaluator; }
76    }
77  }
78}
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