source: branches/HeuristicLab.BinPacking/HeuristicLab.Problems.BinPacking.2D/3.3/Problem.cs @ 14128

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2015 Joseph Helm and Heuristic and Evolutionary Algorithms Laboratory (HEAL)
 *
 * This file is part of HeuristicLab.
 *
 * HeuristicLab is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * HeuristicLab is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
 */
#endregion

using HeuristicLab.Core;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Common;
using HeuristicLab.Encodings.PermutationEncoding;
using HeuristicLab.PluginInfrastructure;
using HeuristicLab.Encodings.PackingEncoding.PackingSequence;
using HeuristicLab.Problems.Instances;
using HeuristicLab.Data;
using HeuristicLab.Problems.BinPacking;

namespace HeuristicLab.Problems.BinPacking2D {
  [Item("Bin Packing Problem (2D, identical rectangles) (BPP)", "Represents a two-dimensional bin-packing problem using only bins with identical measures and bins/items with rectangular shapes.")]
  [StorableClass]
  [Creatable(CreatableAttribute.Categories.CombinatorialProblems, Priority = 300)]
  public class Problem : Problem<PackingPosition, PackingShape, PackingItem>, IProblemInstanceConsumer<BPPData>, IProblemInstanceExporter<BPPData> {

    #region Default Instance
    private static readonly BPPData DefaultInstance = new BPPData() {
      Name = "2D BPP Default Instance",
      Description = "The default instance for 2D Bin Packing.",
      BinShape = new PackingShape(20, 16),
      Items = new PackingItem[] {
        new PackingItem(3,  8, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(5,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(9,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(2,  7, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(5,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(9,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(2,  7, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(5,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(9,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(2,  7, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(5,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(9,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(2,  7, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(5,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(9,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(2,  7, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(5,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(9,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(2,  7, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(5,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(9,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(2,  7, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(5,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(9,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(2,  7, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(5,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(9,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(2,  7, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(5,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(9,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(2,  7, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(5,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(9,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(2,  7, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(5,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(9,  3, new PackingShape(20, 16)) { Material = 1, Weight = 1.0},
        new PackingItem(2,  7, new PackingShape(20, 16)) { Material = 1, Weight = 1.0}
      },
    };
    #endregion

    [StorableConstructor]
    protected Problem(bool deserializing) : base(deserializing) { }
    protected Problem(Problem original, Cloner cloner)
          : base(original, cloner) {
    }
    public override IDeepCloneable Clone(Cloner cloner) {
      return new Problem(this, cloner);
    }
    public Problem() : base(
          new DecodingEvaluator<Permutation, PackingPosition, PackingShape, PackingItem>()) {
    }

    #region Problem instance handling
    public void Load(BPPData data) {

      BestKnownQuality = data.BestKnownQuality.HasValue ? new DoubleValue(data.BestKnownQuality.Value) : null;

      PackingBinMeasures = data.BinShape;
      PackingItemMeasures = new ItemList<PackingItem>(data.Items);

      ApplyHorizontalOrientation();
      SortItems();
      PackingItemsParameter.Value.Value = PackingItemMeasures.Count;
      LowerBoundParameter.Value.Value = CalculateLowerBound();
    }


    public BPPData Export() {
      return new BPPData {
        Name = Name,
        Description = Description,
        BinShape = PackingBinMeasures,
        Items = PackingItemMeasures.ToArray()
      };
    }
    #endregion

    #region Helpers
    protected override void InitializeDecoder() {
      // Operators.RemoveAll(op => op is I3DOperator); TODO

      PackingSolutionDecoderParameter.ValidValues.Clear();
      if (SolutionCreator is PackingSequenceRandomCreator) {
        PackingSolutionDecoderParameter.ValidValues.UnionWith(ApplicationManager.Manager.GetInstances<I2DPSDecoder>());
      } /*else if (SolutionCreator is GroupingVectorRandomCreator) {
        PackingSolutionDecoderParameter.ValidValues.UnionWith(ApplicationManager.Manager.GetInstances<I2DGVDecoder>());
      } else if (SolutionCreator is MultiComponentVectorRandomCreator) {
        PackingSolutionDecoderParameter.ValidValues.UnionWith(ApplicationManager.Manager.GetInstances<I2DMCVDecoder>());
      } */ else {
        string error = "The given problem does not support the selected solution-creator.";
        ErrorHandling.ShowErrorDialog(error, null);
      }
    }

    protected override IEvaluator CreateDefaultEvaluator() {
      return new PackingRatioEvaluator();
    }

    protected override void InitializeProblemData() {
      Load(DefaultInstance);
    }

    protected override void RemoveTooBigItems() {
      PackingItemMeasures.RemoveAll(pi =>
        !PackingBinMeasures.Encloses(new PackingPosition(0, 0, 0, false), pi) &&
        !PackingBinMeasures.Encloses(new PackingPosition(0, 0, 0, true), pi));
    }
    #endregion
  }
}