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source: stable/HeuristicLab.Problems.LawnMower/3.3/BestSolutionAnalyzer.cs @ 10007

Last change on this file since 10007 was 9456, checked in by swagner, 12 years ago

Updated copyright year and added some missing license headers (#1889)

File size: 5.2 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2013 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.Encodings.SymbolicExpressionTreeEncoding;
26using HeuristicLab.Operators;
27using HeuristicLab.Optimization;
28using HeuristicLab.Parameters;
29using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
30
31namespace HeuristicLab.Problems.LawnMower {
32  [StorableClass]
33  [Item("Best Lawn Mower Solution Analyzer", "Analyzer that stores the best lawn mower solution.")]
34  public class BestSolutionAnalyzer : SingleSuccessorOperator, ISymbolicExpressionTreeAnalyzer {
35
36    private const string QualityParameterName = "Quality";
37    private const string SymbolicExpressionTreeParameterName = "LawnMowerProgram";
38    private const string LawnWidthParameterName = "LawnWidth";
39    private const string LawnLengthParameterName = "LawnLength";
40    private const string BestSolutionParameterName = "Best solution";
41    private const string ResultsParameterName = "Results";
42
43    public IScopeTreeLookupParameter<DoubleValue> QualityParameter {
44      get { return (IScopeTreeLookupParameter<DoubleValue>)Parameters[QualityParameterName]; }
45    }
46    public IScopeTreeLookupParameter<ISymbolicExpressionTree> SymbolicExpressionTreeParameter {
47      get { return (IScopeTreeLookupParameter<ISymbolicExpressionTree>)Parameters[SymbolicExpressionTreeParameterName]; }
48    }
49    public ILookupParameter<IntValue> LawnWidthParameter {
50      get { return (ILookupParameter<IntValue>)Parameters[LawnWidthParameterName]; }
51    }
52    public ILookupParameter<IntValue> LawnLengthParameter {
53      get { return (ILookupParameter<IntValue>)Parameters[LawnLengthParameterName]; }
54    }
55    public ILookupParameter<Solution> BestSolutionParameter {
56      get { return (ILookupParameter<Solution>)Parameters[BestSolutionParameterName]; }
57    }
58    public ILookupParameter<ResultCollection> ResultParameter {
59      get { return (ILookupParameter<ResultCollection>)Parameters[ResultsParameterName]; }
60    }
61
62    [StorableConstructor]
63    protected BestSolutionAnalyzer(bool deserializing) : base(deserializing) { }
64    protected BestSolutionAnalyzer(BestSolutionAnalyzer original, Cloner cloner)
65      : base(original, cloner) {
66    }
67
68    public BestSolutionAnalyzer() {
69      Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>(QualityParameterName, "The solution quality of the lawn mower program."));
70      Parameters.Add(new ScopeTreeLookupParameter<ISymbolicExpressionTree>(SymbolicExpressionTreeParameterName, "The lawn mower program to evaluate represented as symbolic expression tree."));
71      Parameters.Add(new LookupParameter<Solution>(BestSolutionParameterName, "The best lawn mower solution."));
72      Parameters.Add(new LookupParameter<IntValue>(LawnWidthParameterName, "The width of the lawn to mow."));
73      Parameters.Add(new LookupParameter<IntValue>(LawnLengthParameterName, "The length of the lawn to mow."));
74      Parameters.Add(new LookupParameter<ResultCollection>(ResultsParameterName, "The result collection of the algorithm."));
75    }
76
77    [StorableHook(HookType.AfterDeserialization)]
78    private void AfterDeserialization() {
79    }
80
81    public override IDeepCloneable Clone(Cloner cloner) {
82      return new BestSolutionAnalyzer(this, cloner);
83    }
84
85    public override IOperation Apply() {
86      var trees = SymbolicExpressionTreeParameter.ActualValue;
87      var qualities = QualityParameter.ActualValue;
88
89      // find max tree
90      double maxQuality = double.NegativeInfinity;
91      ISymbolicExpressionTree bestTree = null;
92      for (int i = 0; i < qualities.Length; i++) {
93        if (qualities[i].Value > maxQuality) {
94          maxQuality = qualities[i].Value;
95          bestTree = trees[i];
96        }
97      }
98      int length = LawnLengthParameter.ActualValue.Value;
99      int width = LawnWidthParameter.ActualValue.Value;
100      var bestSolution = new Solution(bestTree, length, width);
101      BestSolutionParameter.ActualValue = bestSolution;
102
103      var resultCollection = ResultParameter.ActualValue;
104      if (!resultCollection.ContainsKey(BestSolutionParameterName)) {
105        resultCollection.Add(new Result(BestSolutionParameterName, "The best lawn mower solution", bestSolution));
106      } else {
107        resultCollection[BestSolutionParameterName].Value = bestSolution;
108      }
109
110      return base.Apply();
111    }
112    public bool EnabledByDefault {
113      get { return true; }
114    }
115  }
116}
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