#region License Information
/* HeuristicLab
* Copyright (C) 2002-2017 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 System.Threading;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Optimization;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Random;
namespace HeuristicLab.Problems.GeneralizedQuadraticAssignment.Algorithms {
[Item("Stochastic Algorithm", "Stochastic context-based algorithms to facilitate applying operators.")]
[StorableClass]
public abstract class StochasticAlgorithm : ContextAlgorithm
where TContext : class, IStochasticContext, new()
where TEncoding : class, IEncoding {
[Storable]
private FixedValueParameter setSeedRandomlyParameter;
private IFixedValueParameter SetSeedRandomlyParameter {
get { return setSeedRandomlyParameter; }
}
[Storable]
private FixedValueParameter seedParameter;
private IFixedValueParameter SeedParameter {
get { return seedParameter; }
}
public bool SetSeedRandomly {
get { return setSeedRandomlyParameter.Value.Value; }
set { setSeedRandomlyParameter.Value.Value = value; }
}
public int Seed {
get { return seedParameter.Value.Value; }
set { seedParameter.Value.Value = value; }
}
[StorableConstructor]
protected StochasticAlgorithm(bool deserializing) : base(deserializing) { }
protected StochasticAlgorithm(StochasticAlgorithm original, Cloner cloner)
: base(original, cloner) {
setSeedRandomlyParameter = cloner.Clone(original.setSeedRandomlyParameter);
seedParameter = cloner.Clone(original.seedParameter);
}
protected StochasticAlgorithm()
: base() {
Parameters.Add(setSeedRandomlyParameter = new FixedValueParameter("SetSeedRandomly", "Whether to overwrite the seed with a random value each time the algorithm is run.", new BoolValue(true)));
Parameters.Add(seedParameter = new FixedValueParameter("Seed", "The random seed that is used in the stochastic algorithm", new IntValue(0)));
}
protected override void Initialize(CancellationToken cancellationToken) {
base.Initialize(cancellationToken);
if (SetSeedRandomly) {
var rnd = new System.Random();
Seed = rnd.Next();
}
Context.Random = new MersenneTwister((uint)Seed);
}
}
}