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source: branches/WebJobManager/HeuristicLab.Problems.NK/3.3/NKMoveEvaluator.cs @ 17286

Last change on this file since 17286 was 12755, checked in by ascheibe, 9 years ago

#2317 fixed folder structure and output path of nk landscapes (missed that on trunk integration...)

File size: 3.7 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 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.BinaryVectorEncoding;
26using HeuristicLab.Operators;
27using HeuristicLab.Parameters;
28using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
29
30namespace HeuristicLab.Problems.NK {
31
32  [Item("NKMoveEvaluator", "A base class for operators which evaluate moves on the NK Landscape.")]
33  [StorableClass]
34  public abstract class NKMoveEvaluator : SingleSuccessorOperator, INKMoveEvaluator, IBinaryVectorMoveOperator {
35
36    public ILookupParameter<DoubleValue> QualityParameter {
37      get { return (ILookupParameter<DoubleValue>)Parameters["Quality"]; }
38    }
39    public ILookupParameter<DoubleValue> MoveQualityParameter {
40      get { return (ILookupParameter<DoubleValue>)Parameters["MoveQuality"]; }
41    }
42    public ILookupParameter<BinaryVector> BinaryVectorParameter {
43      get { return (ILookupParameter<BinaryVector>)Parameters["BinaryVector"]; }
44    }
45    public ILookupParameter<BoolMatrix> GeneInteractionsParameter {
46      get { return (ILookupParameter<BoolMatrix>)Parameters["GeneInteractions"]; }
47    }
48    public ILookupParameter<IntValue> InteractionSeedParameter {
49      get { return (ILookupParameter<IntValue>)Parameters["InteractionSeed"]; }
50    }
51    public ILookupParameter<DoubleArray> WeightsParameter {
52      get { return (ILookupParameter<DoubleArray>)Parameters["Weights"]; }
53    }
54    public ILookupParameter<IntValue> QParameter { get { return (ILookupParameter<IntValue>)Parameters["Q"]; } }
55    public ILookupParameter<DoubleValue> PParameter { get { return (ILookupParameter<DoubleValue>)Parameters["P"]; } }
56
57    [StorableConstructor]
58    protected NKMoveEvaluator(bool deserializing) : base(deserializing) { }
59    protected NKMoveEvaluator(NKMoveEvaluator original, Cloner cloner) : base(original, cloner) { }
60    protected NKMoveEvaluator()
61      : base() {
62      Parameters.Add(new LookupParameter<DoubleValue>("Quality", "The quality of a OneMax solution."));
63      Parameters.Add(new LookupParameter<DoubleValue>("MoveQuality", "The evaluated quality of a move on a OneMax solution."));
64      Parameters.Add(new LookupParameter<BinaryVector>("BinaryVector", "The solution as BinaryVector."));
65      Parameters.Add(new LookupParameter<BoolMatrix>("GeneInteractions", "Matrix indicating gene interactions."));
66      Parameters.Add(new LookupParameter<IntValue>("InteractionSeed", "Seed used for randomly generting gene interactions."));
67      Parameters.Add(new LookupParameter<DoubleArray>("Weights", "The weights for the component functions. If shorter, will be repeated."));
68      Parameters.Add(new LookupParameter<IntValue>("Q", "Number of allowed fitness values in the (virutal) random table, or zero"));
69      Parameters.Add(new LookupParameter<DoubleValue>("P", "Probability of any entry in the (virtual) random table being zero"));
70    }
71  }
72}
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