source: branches/GeneralizedQAP/HeuristicLab.Problems.GeneralizedQuadraticAssignment/3.3/Operators/GQAPCrossover.cs @ 7319

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
 *
 * This file is part of HeuristicLab.
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 * HeuristicLab is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
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 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
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 * You should have received a copy of the GNU General Public License
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#endregion

using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Encodings.IntegerVectorEncoding;
using HeuristicLab.Operators;
using HeuristicLab.Optimization;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Problems.GeneralizedQuadraticAssignment {

  [Item("GQAPCrossover", "A base class for operators that cross assignment vectors of the GeneralizedQuadraticAssignment problems.")]
  [StorableClass]
  public abstract class GQAPCrossover : SingleSuccessorOperator, IGQAPCrossover, IStochasticOperator {
    public override bool CanChangeName {
      get { return false; }
    }
    public ILookupParameter<IRandom> RandomParameter {
      get { return (LookupParameter<IRandom>)Parameters["Random"]; }
    }
    public IScopeTreeLookupParameter<IntegerVector> ParentsParameter {
      get { return (ScopeTreeLookupParameter<IntegerVector>)Parameters["Parents"]; }
    }
    public ILookupParameter<IntegerVector> ChildParameter {
      get { return (ILookupParameter<IntegerVector>)Parameters["Child"]; }
    }

    [StorableConstructor]
    protected GQAPCrossover(bool deserializing) : base(deserializing) { }
    protected GQAPCrossover(GQAPCrossover original, Cloner cloner) : base(original, cloner) { }
    protected GQAPCrossover()
      : base() {
      Parameters.Add(new LookupParameter<IRandom>("Random", "The pseudo random number generator which should be used for stochastic crossover operators."));
      Parameters.Add(new ScopeTreeLookupParameter<IntegerVector>("Parents", "The parent vectors which should be crossed.", "Assignment"));
      Parameters.Add(new LookupParameter<IntegerVector>("Child", "The child vector resulting from the crossover.", "Assignment"));
    }

    public sealed override IOperation Apply() {
      ChildParameter.ActualValue = Cross(RandomParameter.ActualValue, ParentsParameter.ActualValue);
      return base.Apply();
    }

    protected abstract IntegerVector Cross(IRandom random, ItemArray<IntegerVector> parents);
  }
}