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source: branches/HeuristicLab.BinPacking/HeuristicLab.Problems.BinPacking/3.3/Analyzers/BinPackingAnalyzer.cs @ 12547

Last change on this file since 12547 was 9440, checked in by jhelm, 12 years ago

#1966: Implemented new encoding (MultiComponentVector/MCV); Implemented move-operators for MCV and GV encodings; Implemented new decoding-methods for PS, GV and MCV encodings (ExtremePoint-based packing);

File size: 4.1 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2012 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 System.Text;
26using HeuristicLab.Common;
27using HeuristicLab.Core;
28using HeuristicLab.Data;
29using HeuristicLab.Operators;
30using HeuristicLab.Optimization;
31using HeuristicLab.Parameters;
32using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
33using HeuristicLab.Problems.BinPacking.Interfaces;
34using HeuristicLab.Encodings.PackingEncoding.PackingPlan;
35using HeuristicLab.Problems.BinPacking.Shapes;
36
37namespace HeuristicLab.Problems.BinPacking.Analyzers {
38  [Item("BinPackingAnalyzer", "Represents the generalized form of Analyzers for BinPacking Problems.")]
39  [StorableClass]
40  public abstract class BinPackingAnalyzer<D, B, I> : SingleSuccessorOperator, IAnalyzer
41    where D : class, IPackingDimensions
42    where B : PackingShape<D>, IPackingBin
43    where I : PackingShape<D>, IPackingItem {
44    public virtual bool EnabledByDefault {
45      get { return true; }
46    }
47
48    protected BinPackingAnalyzer(BinPackingAnalyzer<D,B,I> original, Cloner cloner)
49      : base(original, cloner) {
50    }
51
52    #region Parameter Properties
53    public LookupParameter<BoolValue> MaximizationParameter {
54      get { return (LookupParameter<BoolValue>)Parameters["Maximization"]; }
55    }
56    public ScopeTreeLookupParameter<DoubleValue> QualityParameter {
57      get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
58    }
59    public LookupParameter<PackingPlan<D, B, I>> BestSolutionParameter {
60      get { return (LookupParameter<PackingPlan<D, B, I>>)Parameters["BestSolution"]; }
61    }
62    public ValueLookupParameter<ResultCollection> ResultsParameter {
63      get { return (ValueLookupParameter<ResultCollection>)Parameters["Results"]; }
64    }
65    public LookupParameter<DoubleValue> BestKnownQualityParameter {
66      get { return (LookupParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
67    }
68    public LookupParameter<PackingPlan<D, B, I>> BestKnownSolutionParameter {
69      get { return (LookupParameter<PackingPlan<D, B, I>>)Parameters["BestKnownSolution"]; }
70    }
71    public ScopeTreeLookupParameter<PackingPlan<D, B, I>> PackingPlanParameter {
72      get { return (ScopeTreeLookupParameter<PackingPlan<D,B,I>>)Parameters["PackingPlan"]; }
73    }
74    #endregion
75
76    public BinPackingAnalyzer()
77      : base() {
78      Parameters.Add(new LookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem."));
79      Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", "The qualities of the packing solutions which should be analyzed."));
80      Parameters.Add(new ScopeTreeLookupParameter<PackingPlan<D, B, I>>("PackingPlan", "The solutions from which the best solution has to be chosen from."));
81      Parameters.Add(new LookupParameter<PackingPlan<D, B, I>>("BestSolution", "The best performing packing plan."));
82      Parameters.Add(new ValueLookupParameter<ResultCollection>("Results", "The result collection where the best packing solution should be stored."));
83      Parameters.Add(new LookupParameter<DoubleValue>("BestKnownQuality", "The quality of the best known solution of this packing-problem instance."));
84      Parameters.Add(new LookupParameter<PackingPlan<D, B, I>>("BestKnownSolution", "The best known solution of this packing-problem instance."));
85    }
86  }
87}
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