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source: branches/2521_ProblemRefactoring/HeuristicLab.Optimization/3.3/BasicProblems/Operators/MultiObjectiveEvaluator.cs @ 17699

Last change on this file since 17699 was 17699, checked in by abeham, 4 years ago

#2521: Made encodings non-generic classes (the TEncodedSolution type parameter is not actually used), this will make it considerably easier to port the VRP to the new architecture

File size: 3.1 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 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 HEAL.Attic;
24using HeuristicLab.Common;
25using HeuristicLab.Core;
26using HeuristicLab.Data;
27using HeuristicLab.Operators;
28using HeuristicLab.Parameters;
29
30namespace HeuristicLab.Optimization {
31  [Item("Multi-objective Evaluator", "Calls the Evaluate method of the problem definition and writes the return value into the scope.")]
32  [StorableType("C5605ED8-0ED2-4C7B-97A1-E7EB68A4FDBF")]
33  public sealed class MultiObjectiveEvaluator<TEncodedSolution> : InstrumentedOperator, IMultiObjectiveEvaluationOperator<TEncodedSolution>, IStochasticOperator
34  where TEncodedSolution : class, IEncodedSolution {
35
36    public ILookupParameter<IRandom> RandomParameter {
37      get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
38    }
39
40    public ILookupParameter<IEncoding> EncodingParameter {
41      get { return (ILookupParameter<IEncoding>)Parameters["Encoding"]; }
42    }
43
44    public ILookupParameter<DoubleArray> QualitiesParameter {
45      get { return (ILookupParameter<DoubleArray>)Parameters["Qualities"]; }
46    }
47
48    public Func<TEncodedSolution, IRandom, double[]> EvaluateFunc { get; set; }
49
50    [StorableConstructor]
51    private MultiObjectiveEvaluator(StorableConstructorFlag _) : base(_) { }
52    private MultiObjectiveEvaluator(MultiObjectiveEvaluator<TEncodedSolution> original, Cloner cloner) : base(original, cloner) { }
53    public MultiObjectiveEvaluator() {
54      Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator to use."));
55      Parameters.Add(new LookupParameter<IEncoding>("Encoding", "An item that holds the problem's encoding."));
56      Parameters.Add(new LookupParameter<DoubleArray>("Qualities", "The qualities of the parameter vector."));
57    }
58
59    public override IDeepCloneable Clone(Cloner cloner) {
60      return new MultiObjectiveEvaluator<TEncodedSolution>(this, cloner);
61    }
62
63    public override IOperation InstrumentedApply() {
64      var random = RandomParameter.ActualValue;
65      var encoding = EncodingParameter.ActualValue;
66      var solution = (TEncodedSolution)ScopeUtil.GetEncodedSolution(ExecutionContext.Scope, encoding);
67      QualitiesParameter.ActualValue = new DoubleArray(EvaluateFunc(solution, random));
68      return base.InstrumentedApply();
69    }
70  }
71}
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