source: trunk/sources/HeuristicLab.Optimization/3.3/BasicProblems/Operators/SingleObjectiveAnalyzer.cs @ 11961

Last change on this file since 11961 was 11961, checked in by abeham, 5 years ago

#2174: Integrated programmable problem into trunk

  • Fixed build configuration
  • Fixed some assembly references that had CopyLocal set to true
  • Added a missing license header
  • Cleaned some usings
  • Fixed the version number in ExternalEvaluation.GP
  • Added ProgrammableProblem and new ExternalEvaluationProblem as a reference to unit tests
  • Fixed plugin dependencies and assembly references
  • Changed icon of programmable problem to script icon
  • Fixed name clash in VRP that also had defined a "PermutationEncoding" class
  • (Hopefully) fixed all output paths
File size: 3.6 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;
23using System.Collections.Generic;
24using System.Linq;
25using HeuristicLab.Common;
26using HeuristicLab.Core;
27using HeuristicLab.Data;
28using HeuristicLab.Operators;
29using HeuristicLab.Parameters;
30using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
31
32namespace HeuristicLab.Optimization {
33  [Item("Single-objective Analyzer", "Calls the script's Analyze method to be able to write into the results collection.")]
34  [StorableClass]
35  public sealed class SingleObjectiveAnalyzer : SingleSuccessorOperator, ISingleObjectiveAnalysisOperator, IAnalyzer, IStochasticOperator {
36    public bool EnabledByDefault { get { return true; } }
37
38    public ILookupParameter<IEncoding> EncodingParameter {
39      get { return (ILookupParameter<IEncoding>)Parameters["Encoding"]; }
40    }
41
42    public IScopeTreeLookupParameter<DoubleValue> QualityParameter {
43      get { return (IScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
44    }
45
46    public ILookupParameter<ResultCollection> ResultsParameter {
47      get { return (ILookupParameter<ResultCollection>)Parameters["Results"]; }
48    }
49
50    public ILookupParameter<IRandom> RandomParameter {
51      get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
52    }
53
54    public Action<Individual[], double[], ResultCollection, IRandom> AnalyzeAction { get; set; }
55
56    [StorableConstructor]
57    private SingleObjectiveAnalyzer(bool deserializing) : base(deserializing) { }
58    private SingleObjectiveAnalyzer(SingleObjectiveAnalyzer original, Cloner cloner) : base(original, cloner) { }
59    public SingleObjectiveAnalyzer() {
60      Parameters.Add(new LookupParameter<IEncoding>("Encoding", "An item that holds the problem's encoding."));
61      Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", "The quality of the parameter vector."));
62      Parameters.Add(new LookupParameter<ResultCollection>("Results", "The results collection to write to."));
63      Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator to use."));
64    }
65
66    public override IDeepCloneable Clone(Cloner cloner) {
67      return new SingleObjectiveAnalyzer(this, cloner);
68    }
69
70    public override IOperation Apply() {
71      var encoding = EncodingParameter.ActualValue;
72      var results = ResultsParameter.ActualValue;
73      var random = RandomParameter.ActualValue;
74
75      IEnumerable<IScope> scopes = new[] { ExecutionContext.Scope };
76      for (var i = 0; i < QualityParameter.Depth; i++)
77        scopes = scopes.Select(x => (IEnumerable<IScope>)x.SubScopes).Aggregate((a, b) => a.Concat(b));
78
79      var individuals = scopes.Select(encoding.GetIndividual).ToArray();
80      AnalyzeAction(individuals, QualityParameter.ActualValue.Select(x => x.Value).ToArray(), results, random);
81      return base.Apply();
82    }
83  }
84}
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