#region License Information
/* HeuristicLab
* Copyright (C) 2002-2015 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.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Encodings.LinearLinkageEncoding {
[Item("Merge Group Manipulator", "Performs a maximum of N merge operations on the groups. Groups may be merged multiple times.")]
[StorableClass]
public sealed class MergeGroupManipulator : LinearLinkageManipulator {
public IValueLookupParameter NParameter {
get { return (IValueLookupParameter)Parameters["N"]; }
}
[StorableConstructor]
private MergeGroupManipulator(bool deserializing) : base(deserializing) { }
private MergeGroupManipulator(MergeGroupManipulator original, Cloner cloner) : base(original, cloner) { }
public MergeGroupManipulator() {
Parameters.Add(new ValueLookupParameter("N", "The number of groups to merge.", new IntValue(1)));
}
public MergeGroupManipulator(int n)
: this() {
NParameter.Value = new IntValue(n);
}
public override IDeepCloneable Clone(Cloner cloner) {
return new MergeGroupManipulator(this, cloner);
}
public static void Apply(IRandom random, LinearLinkage lle, int n) {
var grouping = lle.GetGroups().ToList();
if (grouping.Count == 1) return; // nothing to merge
for (var i = 0; i < n; i++) {
var g1 = random.Next(grouping.Count);
var g2 = random.Next(grouping.Count);
while (g1 == g2) g2 = random.Next(grouping.Count);
grouping[g1].AddRange(grouping[g2]);
grouping.RemoveAt(g2);
if (grouping.Count == 1) break;
}
lle.SetGroups(grouping);
}
protected override void Manipulate(IRandom random, LinearLinkage lle) {
var N = NParameter.ActualValue.Value;
Apply(random, lle, N);
}
}
}