source: branches/ProblemRefactoring/HeuristicLab.Optimization/3.3/BasicProblems/SingleObjectiveProblem.cs @ 13388

Last change on this file since 13388 was 13388, checked in by abeham, 4 years ago

#2521:

  • Readded excluded views
  • Removed ProblemInstanceProviderView which was not referenced in the project file
  • Fixed plugin dependency
File size: 4.8 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 SingleObjectiveProblem<TEncoding, TSolution> :
33    Problem<TEncoding, TSolution, SingleObjectiveEvaluator<TSolution>>,
34    ISingleObjectiveProblem<TEncoding, TSolution>,
35    ISingleObjectiveProblemDefinition<TEncoding, TSolution>
36    where TEncoding : class, IEncoding<TSolution>
37    where TSolution : class, ISolution {
38
39    protected IValueParameter<DoubleValue> BestKnownQualityParameter {
40      get { return (IValueParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
41    }
42
43    public double BestKnownQuality {
44      get {
45        if (BestKnownQualityParameter.Value == null) return double.NaN;
46        return BestKnownQualityParameter.Value.Value;
47      }
48      set {
49        if (BestKnownQualityParameter.Value == null) BestKnownQualityParameter.Value = new DoubleValue(value);
50        else BestKnownQualityParameter.Value.Value = value;
51      }
52    }
53
54    [StorableConstructor]
55    protected SingleObjectiveProblem(bool deserializing) : base(deserializing) { }
56
57    protected SingleObjectiveProblem(SingleObjectiveProblem<TEncoding, TSolution> original, Cloner cloner)
58      : base(original, cloner) {
59      ParameterizeOperators();
60    }
61
62    protected SingleObjectiveProblem()
63      : base() {
64      Parameters.Add(new FixedValueParameter<BoolValue>("Maximization", "Set to false if the problem should be minimized.", (BoolValue)new BoolValue(Maximization).AsReadOnly()) { Hidden = true });
65      Parameters.Add(new OptionalValueParameter<DoubleValue>("BestKnownQuality", "The quality of the best known solution of this problem."));
66
67      Operators.Add(Evaluator);
68      Operators.Add(new SingleObjectiveAnalyzer<TSolution>());
69      Operators.Add(new SingleObjectiveImprover<TSolution>());
70      Operators.Add(new SingleObjectiveMoveEvaluator<TSolution>());
71      Operators.Add(new SingleObjectiveMoveGenerator<TSolution>());
72      Operators.Add(new SingleObjectiveMoveMaker<TSolution>());
73
74      ParameterizeOperators();
75    }
76
77    [StorableHook(HookType.AfterDeserialization)]
78    private void AfterDeserialization() {
79      ParameterizeOperators();
80    }
81
82    public abstract bool Maximization { get; }
83    public abstract double Evaluate(TSolution individual, IRandom random);
84    public virtual void Analyze(TSolution[] individuals, double[] qualities, ResultCollection results, IRandom random) { }
85    public virtual IEnumerable<TSolution> GetNeighbors(TSolution individual, IRandom random) {
86      return Enumerable.Empty<TSolution>();
87    }
88
89    public virtual bool IsBetter(double quality, double bestQuality) {
90      return (Maximization && quality > bestQuality || !Maximization && quality < bestQuality);
91    }
92
93    protected override void OnEvaluatorChanged() {
94      base.OnEvaluatorChanged();
95      ParameterizeOperators();
96    }
97
98    private void ParameterizeOperators() {
99      foreach (var op in Operators.OfType<ISingleObjectiveEvaluationOperator<TSolution>>())
100        op.EvaluateFunc = Evaluate;
101      foreach (var op in Operators.OfType<ISingleObjectiveAnalysisOperator<TSolution>>())
102        op.AnalyzeAction = Analyze;
103      foreach (var op in Operators.OfType<INeighborBasedOperator<TSolution>>())
104        op.GetNeighborsFunc = GetNeighbors;
105    }
106
107    #region ISingleObjectiveHeuristicOptimizationProblem Members
108    IParameter ISingleObjectiveHeuristicOptimizationProblem.MaximizationParameter {
109      get { return Parameters["Maximization"]; }
110    }
111    IParameter ISingleObjectiveHeuristicOptimizationProblem.BestKnownQualityParameter {
112      get { return Parameters["BestKnownQuality"]; }
113    }
114    ISingleObjectiveEvaluator ISingleObjectiveHeuristicOptimizationProblem.Evaluator {
115      get { return Evaluator; }
116    }
117    #endregion
118  }
119}
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