#region License Information
/* HeuristicLab
* Copyright (C) 2002-2019 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 .
*/
#endregion
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Operators;
using HeuristicLab.Optimization;
using HeuristicLab.Parameters;
using HEAL.Attic;
namespace HeuristicLab.Encodings.BinaryVectorEncoding {
///
/// A base class for operators creating bool-valued vectors.
///
[Item("BinaryVectorCreator", "A base class for operators creating bool-valued vectors.")]
[StorableType("5CE4B676-CE68-4338-AF85-A289D3C8BA69")]
public abstract class BinaryVectorCreator : InstrumentedOperator, IBinaryVectorCreator, IStochasticOperator {
public override bool CanChangeName {
get { return false; }
}
public ILookupParameter RandomParameter {
get { return (LookupParameter)Parameters["Random"]; }
}
public ILookupParameter BinaryVectorParameter {
get { return (ILookupParameter)Parameters["BinaryVector"]; }
}
public IValueLookupParameter LengthParameter {
get { return (IValueLookupParameter)Parameters["Length"]; }
}
[StorableConstructor]
protected BinaryVectorCreator(StorableConstructorFlag _) : base(_) { }
protected BinaryVectorCreator(BinaryVectorCreator original, Cloner cloner) : base(original, cloner) { }
protected BinaryVectorCreator()
: base() {
Parameters.Add(new LookupParameter("Random", "The pseudo random number generator which should be used for stochastic manipulation operators."));
Parameters.Add(new LookupParameter("BinaryVector", "The vector which should be manipulated."));
Parameters.Add(new ValueLookupParameter("Length", "The length of the vector."));
}
public sealed override IOperation InstrumentedApply() {
BinaryVectorParameter.ActualValue = Create(RandomParameter.ActualValue, LengthParameter.ActualValue);
return base.InstrumentedApply();
}
protected abstract BinaryVector Create(IRandom random, IntValue length);
}
}