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source: trunk/sources/HeuristicLab.Problems.ArtificialAnt/3.4/Evaluator.cs @ 7690

Last change on this file since 7690 was 7259, checked in by swagner, 13 years ago

Updated year of copyrights to 2012 (#1716)

File size: 3.5 KB
RevLine 
[3223]1#region License Information
2/* HeuristicLab
[7259]3 * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[3223]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
[4722]22using HeuristicLab.Common;
[3223]23using HeuristicLab.Core;
24using HeuristicLab.Data;
[4068]25using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
[3223]26using HeuristicLab.Operators;
[4068]27using HeuristicLab.Optimization;
[3223]28using HeuristicLab.Parameters;
[4068]29using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
[3223]30
31namespace HeuristicLab.Problems.ArtificialAnt {
32  [Item("ArtificialAntEvaluator", "Evaluates an artificial ant solution.")]
33  [StorableClass]
34  public class Evaluator : SingleSuccessorOperator, ISingleObjectiveEvaluator {
35
36    public ILookupParameter<DoubleValue> QualityParameter {
37      get { return (ILookupParameter<DoubleValue>)Parameters["Quality"]; }
38    }
39
40    public ILookupParameter<SymbolicExpressionTree> SymbolicExpressionTreeParameter {
41      get { return (ILookupParameter<SymbolicExpressionTree>)Parameters["SymbolicExpressionTree"]; }
42    }
[3239]43    public ILookupParameter<BoolMatrix> WorldParameter {
44      get { return (ILookupParameter<BoolMatrix>)Parameters["World"]; }
45    }
46    public ILookupParameter<IntValue> MaxTimeStepsParameter {
47      get { return (ILookupParameter<IntValue>)Parameters["MaxTimeSteps"]; }
48    }
49
[4722]50    [StorableConstructor]
51    protected Evaluator(bool deserializing) : base(deserializing) { }
52    protected Evaluator(Evaluator original, Cloner cloner) : base(original, cloner) { }
53    public override IDeepCloneable Clone(Cloner cloner) { return new Evaluator(this, cloner); }
[3223]54    public Evaluator()
55      : base() {
56      Parameters.Add(new LookupParameter<DoubleValue>("Quality", "The quality of the evaluated artificial ant solution."));
57      Parameters.Add(new LookupParameter<SymbolicExpressionTree>("SymbolicExpressionTree", "The artificial ant solution encoded as a symbolic expression tree that should be evaluated"));
[3239]58      Parameters.Add(new LookupParameter<BoolMatrix>("World", "The world for the artificial ant with scattered food items."));
59      Parameters.Add(new LookupParameter<IntValue>("MaxTimeSteps", "The maximal number of time steps that the artificial ant should be simulated."));
[3223]60    }
61
62    public sealed override IOperation Apply() {
[3239]63      SymbolicExpressionTree expression = SymbolicExpressionTreeParameter.ActualValue;
64      BoolMatrix world = WorldParameter.ActualValue;
65      IntValue maxTimeSteps = MaxTimeStepsParameter.ActualValue;
[3223]66
67      AntInterpreter interpreter = new AntInterpreter();
[3239]68      interpreter.MaxTimeSteps = maxTimeSteps.Value;
69      interpreter.World = world;
70      interpreter.Expression = expression;
71      interpreter.Run();
[3223]72
73      QualityParameter.ActualValue = new DoubleValue(interpreter.FoodEaten);
74      return null;
75    }
76  }
77}
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