1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using HeuristicLab.Common;
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23 | using HeuristicLab.Core;
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24 | using HeuristicLab.Data;
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25 | using HeuristicLab.Encodings.ScheduleEncoding;
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26 | using HeuristicLab.Operators;
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27 | using HeuristicLab.Optimization;
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28 | using HeuristicLab.Parameters;
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29 | using HEAL.Attic;
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30 |
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31 | namespace HeuristicLab.Problems.Scheduling {
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32 | [Item("SchedulingAnalyzer", "Represents the generalized form of Analyzers for Scheduling Problems.")]
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33 | [StorableType("59C3972B-1051-4CEE-A41C-B7AE0D05A3AC")]
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34 | public abstract class SchedulingAnalyzer : SingleSuccessorOperator, IAnalyzer, ISingleObjectiveOperator {
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35 | public virtual bool EnabledByDefault {
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36 | get { return true; }
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37 | }
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38 |
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39 | [StorableConstructor]
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40 | protected SchedulingAnalyzer(StorableConstructorFlag _) : base(_) { }
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41 | protected SchedulingAnalyzer(SchedulingAnalyzer original, Cloner cloner)
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42 | : base(original, cloner) {
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43 | }
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44 |
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45 | #region Parameter Properties
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46 | public LookupParameter<BoolValue> MaximizationParameter {
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47 | get { return (LookupParameter<BoolValue>)Parameters["Maximization"]; }
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48 | }
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49 | public ScopeTreeLookupParameter<DoubleValue> QualityParameter {
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50 | get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
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51 | }
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52 | public LookupParameter<Schedule> BestSolutionParameter {
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53 | get { return (LookupParameter<Schedule>)Parameters["BestSolution"]; }
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54 | }
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55 | public ValueLookupParameter<ResultCollection> ResultsParameter {
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56 | get { return (ValueLookupParameter<ResultCollection>)Parameters["Results"]; }
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57 | }
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58 | public LookupParameter<DoubleValue> BestKnownQualityParameter {
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59 | get { return (LookupParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
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60 | }
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61 | public LookupParameter<Schedule> BestKnownSolutionParameter {
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62 | get { return (LookupParameter<Schedule>)Parameters["BestKnownSolution"]; }
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63 | }
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64 | public ScopeTreeLookupParameter<Schedule> ScheduleParameter {
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65 | get { return (ScopeTreeLookupParameter<Schedule>)Parameters["Schedule"]; }
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66 | }
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67 | #endregion
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68 |
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69 | public SchedulingAnalyzer()
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70 | : base() {
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71 | Parameters.Add(new LookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem."));
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72 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", "The qualities of the JSSP solutions which should be analyzed."));
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73 | Parameters.Add(new ScopeTreeLookupParameter<Schedule>("Schedule", "The solutions from which the best solution has to be chosen from."));
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74 | Parameters.Add(new LookupParameter<Schedule>("BestSolution", "The best JSSP solution."));
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75 | Parameters.Add(new ValueLookupParameter<ResultCollection>("Results", "The result collection where the best JSSP solution should be stored."));
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76 | Parameters.Add(new LookupParameter<DoubleValue>("BestKnownQuality", "The quality of the best known solution of this JSSP instance."));
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77 | Parameters.Add(new LookupParameter<Schedule>("BestKnownSolution", "The best known solution of this JSSP instance."));
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78 | }
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79 | }
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80 | }
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