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source: branches/HeuristicLab.BinPacking/HeuristicLab.Problems.BinPacking/3.3/Evaluators/PackingPlanEvaluator.cs @ 14050

Last change on this file since 14050 was 14050, checked in by gkronber, 8 years ago

#1966: renamed evaluators

File size: 4.3 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 Joseph Helm and 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
23using HeuristicLab.Core;
24using HeuristicLab.Operators;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26using HeuristicLab.Common;
27using HeuristicLab.Parameters;
28using HeuristicLab.Data;
29using HeuristicLab.Collections;
30
31namespace HeuristicLab.Problems.BinPacking {
32  [Item("Packingplan Evaluator", "Represents a evaluator class for standard bin-packing problems.")]
33  [StorableClass]
34  public abstract class EvaluatorBase<D,B,I> : SingleSuccessorOperator, IEvaluator
35    where D : class, IPackingPosition
36    where B : PackingShape<D>
37    where I : PackingShape<D>, IPackingItem {
38
39    #region Parameters
40    public ILookupParameter<IRandom> RandomParameter {
41      get { return (LookupParameter<IRandom>)Parameters["Random"]; }
42    }
43    public ILookupParameter<DoubleValue> QualityParameter {
44      get {
45        if (Parameters.ContainsKey("Quality"))
46          return (ILookupParameter<DoubleValue>)Parameters["Quality"];
47        else
48          return null;
49      }
50    }
51    public ILookupParameter<IPackingPlan> PackingPlanParameter {
52      get { return (ILookupParameter<IPackingPlan>)Parameters["PackingPlan"]; }
53    }
54    public ILookupParameter<ItemList<I>> PackingItemMeasuresParameter {
55      get { return (ILookupParameter<ItemList<I>>)Parameters["PackingItemMeasures"]; }
56    }
57    public ILookupParameter<B> PackingBinMeasuresParameter {
58      get { return (ILookupParameter<B>)Parameters["PackingBinMeasures"]; }
59    }
60    #endregion
61
62    [StorableConstructor]
63    protected EvaluatorBase(bool deserializing) : base(deserializing) { }
64    protected EvaluatorBase(EvaluatorBase<D,B,I> original, Cloner cloner)
65      : base(original, cloner) {
66    }
67    public EvaluatorBase()
68      : base() {
69      Parameters.Add(new LookupParameter<DoubleValue>("Quality", "The quality value of the solution."));
70      Parameters.Add(new LookupParameter<IPackingPlan>("PackingPlan", "The decoded bin-packing solution represented as generalized packing-plan."));
71      Parameters.Add(new LookupParameter<IRandom>("Random", "The pseudo random number generator."));
72      Parameters.Add(new LookupParameter<ItemList<I>>("PackingItemMeasures", "Packing-item data taken from the bin-packing problem-instance."));
73      Parameters.Add(new LookupParameter<B>("PackingBinMeasures", "Packing-bin data taken from the bin-packing problem-instance."));
74
75    }
76
77    protected abstract DoubleValue Evaluate();                                                                       
78    public override IOperation Apply() {
79      QualityParameter.ActualValue = Evaluate();
80      return base.Apply();
81    }
82
83    protected bool HasOverlappingOrNotContainedItems(ObservableDictionary<int, D> positions, B binMeasure, ItemList<I> itemMeasures, int nrOfBins) {
84      //TODO: Optimize performance by removing unnecessary allocations..
85      for (int i = 0; i < itemMeasures.Count; i++) {
86        I packingItem = itemMeasures[i];
87        D currentPosition = positions[i];
88        if (!binMeasure.Encloses(currentPosition, packingItem))
89          return true;
90
91        for (int j = 0; j < itemMeasures.Count; j++) {
92          D checkedPosition = positions[j];
93          if (i != j && currentPosition.AssignedBin == checkedPosition.AssignedBin) {
94            I checkedItem = itemMeasures[j];
95            if (packingItem.Overlaps(currentPosition, checkedPosition, checkedItem))
96              return true;
97          }
98        }
99      }
100      return false;
101    }
102  }
103}
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