Free cookie consent management tool by TermsFeed Policy Generator

source: branches/ProgrammableProblem/HeuristicLab.Problems.Programmable/3.3/Operators/SingleObjectiveMoveEvaluator.cs @ 11587

Last change on this file since 11587 was 11559, checked in by mkommend, 10 years ago

#2174: Adapted IEncoding and Encoding base class.

File size: 3.7 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 : InstrumentedOperator, ISingleObjectiveMoveOperator, ISingleObjectiveMoveEvaluator, IStochasticOperator {
35
36    public ILookupParameter<IRandom> RandomParameter {
37      get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
38    }
39
40    public ILookupParameter<ISingleObjectiveProblemDefinition> ProblemDefinitionParameter {
41      get { return (ILookupParameter<ISingleObjectiveProblemDefinition>)Parameters["ProblemDefinition"]; }
42    }
43
44    public ILookupParameter<IEncoding> EncodingParameter {
45      get { return (ILookupParameter<IEncoding>)Parameters["Encoding"]; }
46    }
47
48    public ILookupParameter<DoubleValue> QualityParameter {
49      get { return (ILookupParameter<DoubleValue>)Parameters["Quality"]; }
50    }
51
52    public ILookupParameter<DoubleValue> MoveQualityParameter {
53      get { return (ILookupParameter<DoubleValue>)Parameters["MoveQuality"]; }
54    }
55
56    [StorableConstructor]
57    protected SingleObjectiveMoveEvaluator(bool deserializing) : base(deserializing) { }
58    protected SingleObjectiveMoveEvaluator(SingleObjectiveMoveEvaluator original, Cloner cloner) : base(original, cloner) { }
59    public SingleObjectiveMoveEvaluator() {
60      Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator to use."));
61      Parameters.Add(new LookupParameter<ISingleObjectiveProblemDefinition>("ProblemDefinition", "The host that holds the problem definition."));
62      Parameters.Add(new LookupParameter<IEncoding>("Encoding", "An item that holds the problem's encoding."));
63      Parameters.Add(new LookupParameter<DoubleValue>("Quality", "The quality of the parameter vector."));
64      Parameters.Add(new LookupParameter<DoubleValue>("MoveQuality", "The quality of the move."));
65    }
66
67    public override IDeepCloneable Clone(Cloner cloner) {
68      return new SingleObjectiveMoveEvaluator(this, cloner);
69    }
70
71    public override IOperation InstrumentedApply() {
72      var random = RandomParameter.ActualValue;
73      var definition = ProblemDefinitionParameter.ActualValue;
74      if (definition == null) throw new InvalidOperationException("Problem definition is null.");
75      var config = EncodingParameter.ActualValue;
76      var vector = Helper.Extract(ExecutionContext.Scope, config);
77      MoveQualityParameter.ActualValue = new DoubleValue(definition.Evaluate(random, vector));
78      return base.InstrumentedApply();
79    }
80  }
81}
Note: See TracBrowser for help on using the repository browser.