source: branches/HeuristicLab.BinPacking/HeuristicLab.Problems.BinPacking/3.3/Decoders/IdenticalBinPackingSolutionDecoder.cs @ 9426

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2012 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 System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using HeuristicLab.Problems.BinPacking.Interfaces;
using HeuristicLab.Core;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Common;
using HeuristicLab.Operators;
using HeuristicLab.Parameters;
using HeuristicLab.Problems.BinPacking.Shapes;
using HeuristicLab.Problems.BinPacking.PackingPlans;
using HeuristicLab.Data;
using HeuristicLab.Collections;

namespace HeuristicLab.Problems.BinPacking.Decoders {

  [Item("Single-Bin Packing-Solution Decoder", "An operator to create a concrete single-bin-packing solution from a given encoding-instance.")]
  [StorableClass]
  public abstract class IdenticalBinPackingSolutionDecoder<D, B, I, P> : SingleSuccessorOperator, IPackingSolutionDecoder
    where D : class, IPackingDimensions
    where B : PackingShape<D>, IPackingBin
    where I : PackingShape<D>, IPackingItem 
    where P : PackingPlan<D, B, I> {

    public ILookupParameter<IRandom> RandomParameter {
      get { return (LookupParameter<IRandom>)Parameters["Random"]; }
    }
    public ILookupParameter<ItemList<I>> PackingItemMeasuresParameter {
      get { return (LookupParameter<ItemList<I>>)Parameters["PackingItemMeasures"]; }
    }
    public ILookupParameter<B> PackingBinMeasuresParameter {
      get { return (LookupParameter<B>)Parameters["PackingBinMeasures"]; }
    }
    public ILookupParameter<IPackingSolutionEncoding> EncodedSolutionParameter {
      get { return (ILookupParameter<IPackingSolutionEncoding>)Parameters["EncodedSolution"]; }
    }
    public ILookupParameter<PackingPlan<D,B,I>> PackingPlanParameter {
      get { return (ILookupParameter<PackingPlan<D, B, I>>)Parameters["PackingPlan"]; }
    }


    public IdenticalBinPackingSolutionDecoder() : base() {
      Parameters.Add(new LookupParameter<IPackingSolutionEncoding>("EncodedSolution", "The new bin-packing solution represented as encoding."));
      Parameters.Add(new LookupParameter<PackingPlan<D, B, I>>("PackingPlan", "The decoded bin-packing solution represented as generalized packing plan."));
      Parameters.Add(new LookupParameter<IRandom>("Random", "The pseudo random number generator which should be used for stochastic manipulation operators."));
      Parameters.Add(new LookupParameter<ItemList<I>>("PackingItemMeasures", "Packing-item data taken from the bin-packing problem-instance."));
      Parameters.Add(new LookupParameter<B>("PackingBinMeasures", "Packing-bin data taken from the bin-packing problem-instance."));
    }

    [StorableConstructor]
    protected IdenticalBinPackingSolutionDecoder(bool deserializing) : base(deserializing) { }
    protected IdenticalBinPackingSolutionDecoder(IdenticalBinPackingSolutionDecoder<D,B,I, P> original, Cloner cloner)
      : base(original, cloner) {
    }

    protected abstract PackingPlan<D, B, I> CreatePackingPlanFromEncoding(IPackingSolutionEncoding solution);

    public override IOperation Apply() {
      PackingPlan<D, B, I> result = CreatePackingPlanFromEncoding(EncodedSolutionParameter.ActualValue);
      PackingPlanParameter.ActualValue = result;
      return base.Apply();
    }
  }
}