#region License Information
/* HeuristicLab
* Copyright (C) 2002-2018 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 .
*/
#endregion
using System;
using System.Collections.Generic;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Encodings.PermutationEncoding;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Problems.BinPacking3D {
[Item("Free Volume Best Fit Extreme-point Permutation Decoder (3d)", "Decodes the permutation and creates a packing solution candidate")]
[StorableClass]
public class FreeVolumeBestFitExtremePointPermutationDecoder : ExtremePointPermutationDecoderBase {
[StorableConstructor]
protected FreeVolumeBestFitExtremePointPermutationDecoder(bool deserializing) : base(deserializing) { }
protected FreeVolumeBestFitExtremePointPermutationDecoder(FreeVolumeBestFitExtremePointPermutationDecoder original, Cloner cloner)
: base(original, cloner) {
}
public FreeVolumeBestFitExtremePointPermutationDecoder() : base() { }
public override IDeepCloneable Clone(Cloner cloner) {
return new FreeVolumeBestFitExtremePointPermutationDecoder(this, cloner);
}
public override Solution Decode(Permutation permutation, PackingShape binShape, IList items, bool useStackingConstraints) {
return Apply(permutation, binShape, items, useStackingConstraints);
}
public static Solution Apply(Permutation permutation, PackingShape binShape, IList items, bool useStackingConstraints) {
Solution result = new Solution(binShape, useExtremePoints: true, stackingConstraints: useStackingConstraints);
IList remainingIDs = new List(permutation);
var bpg = new BinPacking3D(binShape);
bpg.ExtremePointBasedPacking(ref remainingIDs, items, stackingConstraints: useStackingConstraints);
result.Bins.Add(bpg);
foreach (int ID in remainingIDs) {
var sortedBins = result.Bins.OrderBy(x => x.FreeVolume);
var item = items[ID];
var posFound = false;
foreach (var bp in sortedBins) {
var pos = bp.FindExtremePointForItem(item, false, useStackingConstraints);
posFound = pos != null;
if (posFound) {
bp.PackItem(ID, item, pos);
break;
}
}
if (!posFound) {
var bp = new BinPacking3D(binShape);
var pos = bp.FindExtremePointForItem(item, false, useStackingConstraints);
if (pos == null) throw new InvalidOperationException("Item " + ID + " cannot be packed in empty bin.");
bp.PackItem(ID, item, pos);
result.Bins.Add(bp);
}
}
result.UpdateBinPackings();
return result;
}
}
}