#region License Information
/* HeuristicLab
* Copyright (C) 2002-2014 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.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Operators;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Algorithms.ScatterSearch {
///
/// An operator that updates the reference set and rebuilds the population.
///
[Item("PopulationRebuildMethod", "An operator that updates the reference set and rebuilds the population.")]
[StorableClass]
public sealed class PopulationRebuildMethod : SingleSuccessorOperator {
#region Parameter properties
public ScopeParameter CurrentScopeParameter {
get { return (ScopeParameter)Parameters["CurrentScope"]; }
}
public IValueLookupParameter MaximizationParameter {
get { return (IValueLookupParameter)Parameters["Maximization"]; }
}
public IValueLookupParameter NumberOfHighQualitySolutionsParameter {
get { return (IValueLookupParameter)Parameters["NumberOfHighQualitySolutions"]; }
}
public IValueLookupParameter QualityParameter {
get { return (IValueLookupParameter)Parameters["Quality"]; }
}
public IValueLookupParameter ReferenceSetSizeParameter {
get { return (IValueLookupParameter)Parameters["ReferenceSetSize"]; }
}
#endregion
#region Properties
private IScope CurrentScope {
get { return CurrentScopeParameter.ActualValue; }
}
private BoolValue Maximization {
get { return MaximizationParameter.ActualValue; }
set { MaximizationParameter.ActualValue = value; }
}
private IntValue NumberOfHighQualitySolutions {
get { return NumberOfHighQualitySolutionsParameter.ActualValue; }
set { NumberOfHighQualitySolutionsParameter.ActualValue = value; }
}
private IItem Quality {
get { return QualityParameter.ActualValue; }
}
private IntValue ReferenceSetSize {
get { return ReferenceSetSizeParameter.ActualValue; }
set { ReferenceSetSizeParameter.ActualValue = value; }
}
#endregion
[StorableConstructor]
private PopulationRebuildMethod(bool deserializing) : base(deserializing) { }
private PopulationRebuildMethod(PopulationRebuildMethod original, Cloner cloner) : base(original, cloner) { }
public PopulationRebuildMethod()
: base() {
#region Create parameters
Parameters.Add(new ScopeParameter("CurrentScope", "The current scope that contains the population and the reference set."));
Parameters.Add(new ValueLookupParameter("Maximization", "True if the problem is a maximization problem, otherwise false."));
Parameters.Add(new ValueLookupParameter("NumberOfHighQualitySolutions", "The number of high quality solutions in the reference set."));
Parameters.Add(new ValueLookupParameter("Quality", "This parameter is used for name translation only."));
Parameters.Add(new ValueLookupParameter("ReferenceSetSize", "The size of the reference set."));
#endregion
}
public override IDeepCloneable Clone(Cloner cloner) {
return new PopulationRebuildMethod(this, cloner);
}
public override IOperation Apply() {
IScope populationScope = CurrentScope.SubScopes[0];
IScope referenceSetScope = CurrentScope.SubScopes[1];
var orderedReferenceSet = Maximization.Value ? referenceSetScope.SubScopes.OrderByDescending(r => r.Variables[QualityParameter.ActualName].Value) :
referenceSetScope.SubScopes.OrderBy(r => r.Variables[QualityParameter.ActualName].Value);
referenceSetScope.SubScopes.Replace(orderedReferenceSet.Take(NumberOfHighQualitySolutions.Value).ToList());
populationScope.SubScopes.Clear();
return base.Apply();
}
}
}