source: branches/ProgrammableProblem/HeuristicLab.Problems.Programmable/3.3/Operators/SingleObjectiveMoveEvaluator.cs @ 11753

Last change on this file since 11753 was 11753, checked in by mkommend, 5 years ago

#2174: First working version of refactored programmable problem.

File size: 3.3 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2014 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 System;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Data;
26using HeuristicLab.Operators;
27using HeuristicLab.Optimization;
28using HeuristicLab.Parameters;
29using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
30
31namespace HeuristicLab.Problems.Programmable {
32  [Item("Single-objective MoveEvaluator", "Evaluates a parameter vector that results from a move.")]
33  [StorableClass]
34  public class SingleObjectiveMoveEvaluator : SingleSuccessorOperator, ISingleObjectiveEvaluationOperator, ISingleObjectiveMoveEvaluator, IStochasticOperator, ISingleObjectiveMoveOperator {
35
36    public ILookupParameter<IRandom> RandomParameter {
37      get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
38    }
39
40    public ILookupParameter<IEncoding> EncodingParameter {
41      get { return (ILookupParameter<IEncoding>)Parameters["Encoding"]; }
42    }
43
44    public ILookupParameter<DoubleValue> QualityParameter {
45      get { return (ILookupParameter<DoubleValue>)Parameters["Quality"]; }
46    }
47
48    public ILookupParameter<DoubleValue> MoveQualityParameter {
49      get { return (ILookupParameter<DoubleValue>)Parameters["MoveQuality"]; }
50    }
51
52    public Func<Individual, IRandom, double> EvaluateFunc { get; set; }
53
54    [StorableConstructor]
55    protected SingleObjectiveMoveEvaluator(bool deserializing) : base(deserializing) { }
56    protected SingleObjectiveMoveEvaluator(SingleObjectiveMoveEvaluator original, Cloner cloner) : base(original, cloner) { }
57    public SingleObjectiveMoveEvaluator() {
58      Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator to use."));
59      Parameters.Add(new LookupParameter<IEncoding>("Encoding", "An item that holds the problem's encoding."));
60      Parameters.Add(new LookupParameter<DoubleValue>("Quality", "The quality of the parameter vector."));
61      Parameters.Add(new LookupParameter<DoubleValue>("MoveQuality", "The quality of the move."));
62    }
63
64    public override IDeepCloneable Clone(Cloner cloner) {
65      return new SingleObjectiveMoveEvaluator(this, cloner);
66    }
67
68    public override IOperation Apply() {
69      var random = RandomParameter.ActualValue;
70      var encoding = EncodingParameter.ActualValue;
71      var individual = encoding.GetIndividual(ExecutionContext.Scope);
72      MoveQualityParameter.ActualValue = new DoubleValue(EvaluateFunc(individual, random));
73      return base.Apply();
74    }
75  }
76}
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