source: trunk/sources/HeuristicLab.SimOpt/SimOptSquentialSubOperatorCrossover.cs @ 606

#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.Linq;
using System.Text;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Evolutionary;

namespace HeuristicLab.SimOpt {
  public class SimOptSquentialSubOperatorCrossover : OperatorBase {
    public override string Description {
      get { return @"Takes the parameter vector of two items and on each index applies the respectively indexed suboperator"; }
    }

    public SimOptSquentialSubOperatorCrossover()
      : base() {
      AddVariableInfo(new VariableInfo("Items", "The parameter vector", typeof(ConstrainedItemList), VariableKind.In | VariableKind.New));
      AddVariableInfo(new VariableInfo("Parents", "The number of parents per child", typeof(IntData), VariableKind.In));
    }

    public override IOperation Apply(IScope scope) {
      int parents = GetVariableValue<IntData>("Parents", scope, true).Data;

      int subScopesCount = scope.SubScopes.Count;
      if (subScopesCount < parents || (subScopesCount % parents) != 0)
        throw new InvalidOperationException("Size of mating pool is not a multiple (>1) of the number of parents per child");
      int children = subScopesCount / parents;

      CompositeOperation co = new CompositeOperation();
      for (int i = 0; i < SubOperators.Count; i++) {
        if (SubOperators[i].GetVariable("Index") != null) {
          SubOperators[i].GetVariable("Index").Value = new IntData(i);
        }
        if (SubOperators[i].GetVariableInfo("Items") != null) {
          SubOperators[i].GetVariableInfo("Items").ActualName = GetVariableInfo("Items").ActualName;
        }
      }
      for (int i = 0; i < children; i++) {
        IScope child = (IScope)scope.SubScopes[0].Clone();
        for (int j = 0; j < parents; j++) {
          IScope parent = scope.SubScopes[0];
          child.AddSubScope(parent);
          scope.RemoveSubScope(parent);
        }
        scope.AddSubScope(child);
        for (int n = 0 ; n < SubOperators.Count ; n++)
          co.AddOperation(new AtomicOperation(SubOperators[n], child));
        co.AddOperation(new AtomicOperation(new Operators.SubScopesRemover(), child));
      }
      return co;
    }
  }
}