source: branches/HeuristicLab.BinPacking/HeuristicLab.Problems.BinPacking/3.3/Analyzers/BestBinPackingSolutionAnalyzer.cs @ 14050

#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 System.Linq;
using HeuristicLab.Collections;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Encodings.PackingEncoding;
using HeuristicLab.Optimization;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Problems.BinPacking {
  [Item("BestBinPackingSolutionAnalyzer", "An operator for analyzing the best solution of BinPacking Problems given in packingPlan-representation.")]
  [StorableClass]
  public class BestBinPackingSolutionAnalyzer<D, B, I> : BinPackingAnalyzer<D, B, I>, IStochasticOperator
    where D : class, IPackingPosition
    where B : PackingShape<D>
    where I : PackingShape<D>, IPackingItem {

    public ILookupParameter<IRandom> RandomParameter {
      get { return (LookupParameter<IRandom>)Parameters["Random"]; }
    }
    public IRandom Random {
      get { return RandomParameter.ActualValue; }
    }

    [StorableConstructor]
    protected BestBinPackingSolutionAnalyzer(bool deserializing) : base(deserializing) { }
    protected BestBinPackingSolutionAnalyzer(BestBinPackingSolutionAnalyzer<D, B, I> original, Cloner cloner)
      : base(original, cloner) {
    }
    public BestBinPackingSolutionAnalyzer()
      : base() {
      Parameters.Add(new LookupParameter<IRandom>("Random", "The pseudo random number generator."));
    }
    public override IDeepCloneable Clone(Cloner cloner) {
      return new BestBinPackingSolutionAnalyzer<D, B, I>(this, cloner);
    }

    public override IOperation Apply() {
      ItemArray<DoubleValue> qualities = QualityParameter.ActualValue;
      ItemArray<PackingPlan<D, B, I>> solutions = PackingPlanParameter.ActualValue;
      ResultCollection results = ResultsParameter.ActualValue;
      bool max = MaximizationParameter.ActualValue.Value;
      DoubleValue bestKnownQuality = BestKnownQualityParameter.ActualValue;

      int i = -1;
      if (!max)
        i = qualities.Select((x, index) => new { index, x.Value }).OrderBy(x => x.Value).First().index;
      else i = qualities.Select((x, index) => new { index, x.Value }).OrderByDescending(x => x.Value).First().index;

      if (bestKnownQuality == null ||
          max && qualities[i].Value > bestKnownQuality.Value ||
          !max && qualities[i].Value < bestKnownQuality.Value) {
        BestKnownQualityParameter.ActualValue = new DoubleValue(qualities[i].Value);
        BestKnownSolutionParameter.ActualValue = (PackingPlan<D, B, I>)solutions[i].Clone();
      }

      PackingPlan<D, B, I> bestSolution = BestSolutionParameter.ActualValue;
      if (bestSolution == null) {
        bestSolution = (PackingPlan<D, B, I>)solutions[i].Clone();
        bestSolution.Quality = (DoubleValue)qualities[i].Clone();
        BestSolutionParameter.ActualValue = bestSolution;
        results.Add(new Result("Best Packing Solution", bestSolution));
      } else {
        if (max && bestSolution.Quality.Value < qualities[i].Value ||
          !max && bestSolution.Quality.Value > qualities[i].Value) {
          bestSolution.Quality.Value = qualities[i].Value;
          //bestSolution.PackingItemPositions = new ObservableDictionary<int, D> (solutions[i].PackingItemPositions);
          //bestSolution.PackingBinMeasures = new ObservableDictionary<int, B>(solutions[i].PackingBinMeasures);
          bestSolution.BinPackings = new ObservableList<BinPacking<D, B, I>>(solutions[i].BinPackings);
        }
      }
      string binUtilKey = "Overall Bin Utilization";
      DoubleValue binUtil = BinUtilizationEvaluator<D, B, I>.CalculateBinUtilization(bestSolution);
      if (!results.ContainsKey(binUtilKey))
        results.Add(new Result(binUtilKey, binUtil));
      else
        results[binUtilKey].Value = binUtil;


      string nocKey = "Nr Of Containers";
      if (!results.ContainsKey(nocKey))
        results.Add(new Result(nocKey, new IntValue(bestSolution.NrOfBins)));
      else
        results[nocKey].Value = new IntValue(bestSolution.NrOfBins);

      return base.Apply();
    }
  }
}