source: branches/HeuristicLab.Hive_Milestone3/sources/HeuristicLab.Assignment.QAP/3.2/QAPInjector.cs @ 3005

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2008 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.Text;
using HeuristicLab.Core;
using HeuristicLab.Data;

namespace HeuristicLab.Assignment.QAP {
  public class QAPInjector : OperatorBase {
    public override string Description {
      get { return @"Injector for quadratic assignment problem (QAP) files..."; }
    }

    public QAPInjector() : base() {
      AddVariableInfo(new VariableInfo("Maximization", "Set to false as QAP is a minimization problem", typeof(BoolData), VariableKind.New));
      AddVariableInfo(new VariableInfo("Facilities", "Number of facilities", typeof(IntData), VariableKind.New));
      AddVariable(new Variable("Facilities", new IntData(0)));
      AddVariableInfo(new VariableInfo("Distances", "Facility distances", typeof(DoubleMatrixData), VariableKind.New));
      AddVariable(new Variable("Distances", new DoubleMatrixData(new double[0,0])));
      AddVariableInfo(new VariableInfo("Weights", "Facility flow values", typeof(DoubleMatrixData), VariableKind.New));
      AddVariable(new Variable("Weights", new DoubleMatrixData(new double[0, 0])));
      AddVariableInfo(new VariableInfo("BestKnownQuality", "Quality of best known solution", typeof(DoubleData), VariableKind.New));
      AddVariable(new Variable("InjectBestKnownQuality", new BoolData(false)));
      AddVariable(new Variable("BestKnownQuality", new DoubleData(0)));
    }

    public override IOperation Apply(IScope scope) {
      scope.AddVariable(new Variable(scope.TranslateName("Maximization"), new BoolData(false)));
      scope.AddVariable(new Variable(scope.TranslateName("Facilities"), (IItem)GetVariable("Facilities").Value.Clone()));
      scope.AddVariable(new Variable(scope.TranslateName("Distances"), (IItem)GetVariable("Distances").Value.Clone()));
      scope.AddVariable(new Variable(scope.TranslateName("Weights"), (IItem)GetVariable("Weights").Value.Clone()));
      if (GetVariable("InjectBestKnownQuality").GetValue<BoolData>().Data)
        scope.AddVariable(new Variable(scope.TranslateName("BestKnownQuality"), (IItem)GetVariable("BestKnownQuality").Value.Clone()));
      return null;
    }

    public override IView CreateView() {
      return new QAPInjectorView(this);
    }
  }
}