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source: branches/Scheduling/HeuristicLab.Problems.Scheduling/3.3/JSSPEvaluator.cs @ 6121

Last change on this file since 6121 was 6121, checked in by jhelm, 13 years ago

#1329: Implemented basic functionalities of problemdefinition, encodings and primitive operators. A GA can already be applied on the problem to compute a solution it seems however that the current implementation isn't very efficient so the process takes some time.

File size: 3.1 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 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
22
23
24using HeuristicLab.Core;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26using HeuristicLab.Optimization;
27using HeuristicLab.Data;
28using HeuristicLab.Common;
29using HeuristicLab.Parameters;
30using System;
31using HeuristicLab.Problems.Scheduling.Encodings.JobSequenceMatrix;
32using HeuristicLab.Problems.Scheduling.Encodings;
33
34
35namespace HeuristicLab.Problems.Scheduling {
36  [Item("Scheduling Evaluator", "Represents a general evaluator class for scheduling problems.")]
37  [StorableClass]
38  public abstract class JSSPEvaluator : SchedulingOperator, ISingleObjectiveEvaluator {
39    [StorableConstructor]
40    protected JSSPEvaluator(bool deserializing) : base(deserializing) { }
41    protected JSSPEvaluator(JSSPEvaluator original, Cloner cloner)
42      : base(original, cloner) {
43    }
44
45    public ILookupParameter<IRandom> RandomParameter {
46      get { return (LookupParameter<IRandom>)Parameters["Random"]; }
47    }
48    public ILookupParameter<DoubleValue> QualityParameter {
49      get {
50        if (Parameters.ContainsKey("Quality"))
51          return (ILookupParameter<DoubleValue>)Parameters["Quality"];
52        else
53          return null;
54      }
55    }
56    public ILookupParameter<JSSPEncoding> ScheduleParameter {
57      get {
58        if (Parameters.ContainsKey("SchedulingSolution"))
59          return (ILookupParameter<JSSPEncoding>)Parameters["SchedulingSolution"];
60        else
61          return null;
62      }
63    }
64   
65    protected abstract DoubleValue evaluate(Schedule schedule);
66
67
68    public JSSPEvaluator () : base () {
69      Parameters.Add(new LookupParameter<DoubleValue>("Quality", "The quality value aka fitness value of the solution."));
70      Parameters.Add(new LookupParameter<JSSPEncoding>("SchedulingSolution", "The object containing all necessary schedule solution data."));
71      Parameters.Add(new LookupParameter<IRandom>("Random", "The pseudo random number generator."));
72    }
73   
74
75    public override IOperation Apply() {
76      JSSPEncoding schedulingSolution = ScheduleParameter.ActualValue;
77      QualityParameter.ActualValue = evaluate (schedulingSolution.ToSchedule (NrOfResources, Jobs, RandomParameter.ActualValue));
78      return base.Apply();
79    }
80  }
81}
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