source: branches/HeuristicLab.Analysis.AlgorithmBehavior/HeuristicLab.Analysis.SolutionCaching/3.3/MutationPointcut.cs @ 10635

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2013 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 HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Operators;
using HeuristicLab.Optimization;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.PluginInfrastructure;

namespace HeuristicLab.Analysis.SolutionCaching {
  [StorableClass]
  public abstract class MutationPointcut<TA, TM> : SingleSuccessorOperator, IManipulator, IStochasticOperator, IPointcut
    where TA : class, IAdvice
    where TM : class, IManipulator {
    protected const string AdviceParameterName = "Advice";
    protected const string MutatorsParameterName = "Mutators";

    public ConstrainedValueParameter<TM> MutatorsParameter {
      get { return (ConstrainedValueParameter<TM>)Parameters[MutatorsParameterName]; }
    }
    public ConstrainedValueParameter<TA> AdviceParameter {
      get { return (ConstrainedValueParameter<TA>)Parameters[AdviceParameterName]; }
    }
    public ILookupParameter<IRandom> RandomParameter {
      get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
    }

    [StorableConstructor]
    protected MutationPointcut(bool deserializing) : base(deserializing) { }
    protected MutationPointcut(MutationPointcut<TA, TM> original, Cloner cloner) : base(original, cloner) { }

    public MutationPointcut()
      : base() {
      var advices = new ConstrainedValueParameter<TA>(AdviceParameterName,
        "Advice to introduce after crossover");
      foreach (var a in ApplicationManager.Manager.GetInstances<TA>()) {
        advices.ValidValues.Add(a);
      }
      Parameters.Add(advices);
      Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator to use."));
      Parameters.Add(new ConstrainedValueParameter<TM>(MutatorsParameterName, "The mutators."));
    }

    public override IOperation Apply() {
      IOperation successor = base.Apply();
      IOperation mutationOperation = ExecutionContext.CreateChildOperation(MutatorsParameter.Value);
      IOperation adviceOperation = ExecutionContext.CreateChildOperation(AdviceParameter.Value);

      var opCol = new OperationCollection();
      opCol.Add(mutationOperation);
      opCol.Add(adviceOperation);
      if (successor != null)
        opCol.Add(successor);

      return opCol;
    }
  }
}