source: branches/ProblemRefactoring/HeuristicLab.Encodings.SymbolicExpressionTreeEncoding/3.4/SymbolicExpressionTreeProblem.cs @ 13372

Last change on this file since 13372 was 13372, checked in by mkommend, 7 years ago

#2521: Fixed all problems.

File size: 2.6 KB
Line 
1#region License Information
2
3/* HeuristicLab
4 * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
5 *
6 * This file is part of HeuristicLab.
7 *
8 * HeuristicLab is free software: you can redistribute it and/or modify
9 * it under the terms of the GNU General Public License as published by
10 * the Free Software Foundation, either version 3 of the License, or
11 * (at your option) any later version.
12 *
13 * HeuristicLab is distributed in the hope that it will be useful,
14 * but WITHOUT ANY WARRANTY; without even the implied warranty of
15 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
16 * GNU General Public License for more details.
17 *
18 * You should have received a copy of the GNU General Public License
19 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
20 */
21
22#endregion
23
24using System;
25using System.Linq;
26using HeuristicLab.Common;
27using HeuristicLab.Core;
28using HeuristicLab.Data;
29using HeuristicLab.Optimization;
30using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
31
32namespace HeuristicLab.Encodings.SymbolicExpressionTreeEncoding {
33  [StorableClass]
34  public abstract class SymbolicExpressionTreeProblem : SingleObjectiveProblem<SymbolicExpressionTreeEncoding, ISymbolicExpressionTree> {
35
36    // persistence
37    [StorableConstructor]
38    protected SymbolicExpressionTreeProblem(bool deserializing) : base(deserializing) { }
39    [StorableHook(HookType.AfterDeserialization)]
40    private void AfterDeserialization() { }
41
42
43    // cloning
44    protected SymbolicExpressionTreeProblem(SymbolicExpressionTreeProblem original, Cloner cloner)
45      : base(original, cloner) {
46    }
47
48    protected SymbolicExpressionTreeProblem() : base() { }
49
50    public override void Analyze(ISymbolicExpressionTree[] trees, double[] qualities, ResultCollection results,
51      IRandom random) {
52      if (!results.ContainsKey("Best Solution Quality")) {
53        results.Add(new Result("Best Solution Quality", typeof(DoubleValue)));
54      }
55      if (!results.ContainsKey("Best Solution")) {
56        results.Add(new Result("Best Solution", typeof(ISymbolicExpressionTree)));
57      }
58
59      var bestQuality = Maximization ? qualities.Max() : qualities.Min();
60
61      if (results["Best Solution Quality"].Value == null ||
62          IsBetter(bestQuality, ((DoubleValue)results["Best Solution Quality"].Value).Value)) {
63        var bestIdx = Array.IndexOf(qualities, bestQuality);
64        var bestClone = (IItem)trees[bestIdx].Clone();
65        results["Best Solution"].Value = bestClone;
66        results["Best Solution Quality"].Value = new DoubleValue(bestQuality);
67      }
68    }
69  }
70}
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