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source: branches/ProblemRefactoring/HeuristicLab.Optimization/3.3/BasicProblems/SingleObjectiveBasicProblem.cs @ 13331

Last change on this file since 13331 was 12012, checked in by ascheibe, 8 years ago

#2212 merged r12008, r12009, r12010 back into trunk

File size: 5.2 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 System.Collections.Generic;
23using System.Linq;
24using HeuristicLab.Common;
25using HeuristicLab.Core;
26using HeuristicLab.Data;
27using HeuristicLab.Parameters;
28using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
29
30namespace HeuristicLab.Optimization {
31  [StorableClass]
32  public abstract class SingleObjectiveBasicProblem<TEncoding> : BasicProblem<TEncoding, SingleObjectiveEvaluator>,
33    ISingleObjectiveProblemDefinition, ISingleObjectiveHeuristicOptimizationProblem
34  where TEncoding : class, IEncoding {
35
36    protected IValueParameter<DoubleValue> BestKnownQualityParameter {
37      get { return (IValueParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
38    }
39
40    public double BestKnownQuality {
41      get {
42        if (BestKnownQualityParameter.Value == null) return double.NaN;
43        return BestKnownQualityParameter.Value.Value;
44      }
45      set {
46        if (BestKnownQualityParameter.Value == null) BestKnownQualityParameter.Value = new DoubleValue(value);
47        else BestKnownQualityParameter.Value.Value = value;
48      }
49    }
50
51    [StorableConstructor]
52    protected SingleObjectiveBasicProblem(bool deserializing) : base(deserializing) { }
53
54    protected SingleObjectiveBasicProblem(SingleObjectiveBasicProblem<TEncoding> original, Cloner cloner)
55      : base(original, cloner) {
56      ParameterizeOperators();
57    }
58
59    protected SingleObjectiveBasicProblem()
60      : base() {
61      Parameters.Add(new FixedValueParameter<BoolValue>("Maximization", "Set to false if the problem should be minimized.", (BoolValue)new BoolValue(Maximization).AsReadOnly()) { Hidden = true });
62      Parameters.Add(new OptionalValueParameter<DoubleValue>("BestKnownQuality", "The quality of the best known solution of this problem."));
63
64      Operators.Add(Evaluator);
65      Operators.Add(new SingleObjectiveAnalyzer());
66      Operators.Add(new SingleObjectiveImprover());
67      Operators.Add(new SingleObjectiveMoveEvaluator());
68      Operators.Add(new SingleObjectiveMoveGenerator());
69      Operators.Add(new SingleObjectiveMoveMaker());
70
71      ParameterizeOperators();
72    }
73
74    [StorableHook(HookType.AfterDeserialization)]
75    private void AfterDeserialization() {
76      ParameterizeOperators();
77    }
78
79    public abstract bool Maximization { get; }
80    public abstract double Evaluate(Individual individual, IRandom random);
81    public virtual void Analyze(Individual[] individuals, double[] qualities, ResultCollection results, IRandom random) { }
82    public virtual IEnumerable<Individual> GetNeighbors(Individual individual, IRandom random) {
83      return Enumerable.Empty<Individual>();
84    }
85
86    protected override void OnOperatorsChanged() {
87      base.OnOperatorsChanged();
88      if (Encoding != null) {
89        PruneMultiObjectiveOperators(Encoding);
90        var multiEncoding = Encoding as MultiEncoding;
91        if (multiEncoding != null) {
92          foreach (var encoding in multiEncoding.Encodings.ToList()) {
93            PruneMultiObjectiveOperators(encoding);
94          }
95        }
96      }
97    }
98
99    private void PruneMultiObjectiveOperators(IEncoding encoding) {
100      if (encoding.Operators.Any(x => x is IMultiObjectiveOperator && !(x is ISingleObjectiveOperator)))
101        encoding.Operators = encoding.Operators.Where(x => !(x is IMultiObjectiveOperator) || x is ISingleObjectiveOperator).ToList();
102    }
103
104    protected override void OnEvaluatorChanged() {
105      base.OnEvaluatorChanged();
106      ParameterizeOperators();
107    }
108
109    private void ParameterizeOperators() {
110      foreach (var op in Operators.OfType<ISingleObjectiveEvaluationOperator>())
111        op.EvaluateFunc = Evaluate;
112      foreach (var op in Operators.OfType<ISingleObjectiveAnalysisOperator>())
113        op.AnalyzeAction = Analyze;
114      foreach (var op in Operators.OfType<INeighborBasedOperator>())
115        op.GetNeighborsFunc = GetNeighbors;
116    }
117
118    #region ISingleObjectiveHeuristicOptimizationProblem Members
119    IParameter ISingleObjectiveHeuristicOptimizationProblem.MaximizationParameter {
120      get { return Parameters["Maximization"]; }
121    }
122    IParameter ISingleObjectiveHeuristicOptimizationProblem.BestKnownQualityParameter {
123      get { return Parameters["BestKnownQuality"]; }
124    }
125    ISingleObjectiveEvaluator ISingleObjectiveHeuristicOptimizationProblem.Evaluator {
126      get { return Evaluator; }
127    }
128    #endregion
129  }
130}
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