#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;
using HeuristicLab.Operators;
using HeuristicLab.Random;
using HeuristicLab.Evolutionary;

namespace HeuristicLab.SimOpt {
  public class SimOptSinglePointCrossover : CrossoverBase {

    public override string Description {
      get { return @"This operator applies a single point crossover on the variables defined"; }
    }

    public SimOptSinglePointCrossover()
      : base() {
      AddVariableInfo(new VariableInfo("Item", "The item list to be crossed", typeof(ConstrainedItemList), VariableKind.In));
    }

    protected override void Cross(IScope scope, IRandom random, IScope parent1, IScope parent2, IScope child) {
      ICollection<IConstraint> violated;
      ConstrainedItemList p1 = parent1.GetVariableValue<ConstrainedItemList>("Item", false);
      ConstrainedItemList p2 = parent2.GetVariableValue<ConstrainedItemList>("Item", false);

      if (p1.Count != p2.Count) throw new InvalidOperationException("ERROR: the lists do not contain the same number of items");

      ConstrainedItemList childList = (ConstrainedItemList)p1.Clone();
      if (childList.Count > 1) {
        int iter = 0;
        do {
          childList.BeginCombinedOperation();
          int crossPoint = random.Next(1, childList.Count);
          for (int i = crossPoint; i < childList.Count; i++) {
            childList.TrySetAt(i, (IItem)p2[i].Clone(), out violated);
          }
        } while (!childList.EndCombinedOperation(out violated) && ++iter < 100);
        if (violated.Count == 0) {
          child.AddVariable(new Variable(parent1.TranslateName("Item"), childList));
        }
      }
    }
  }
}