#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 System;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Parameters;
using HEAL.Attic;
namespace HeuristicLab.Encodings.LinearLinkageEncoding {
[Item("Maxgroups Linear Linkage Creator", "Creates a random linear linkage LLE encoded solution with a given maximum number of groups.")]
[StorableType("68BA2FF2-2493-404C-B044-D50AAC401CF1")]
public sealed class MaxGroupsLinearLinkageCreator : LinearLinkageCreator {
public IValueLookupParameter MaxGroupsParameter {
get { return (IValueLookupParameter)Parameters["MaxGroups"]; }
}
public IntValue MaxGroups {
get { return MaxGroupsParameter.Value; }
set { MaxGroupsParameter.Value = value; }
}
[StorableConstructor]
private MaxGroupsLinearLinkageCreator(StorableConstructorFlag _) : base(_) { }
private MaxGroupsLinearLinkageCreator(MaxGroupsLinearLinkageCreator original, Cloner cloner) : base(original, cloner) { }
public MaxGroupsLinearLinkageCreator() {
Parameters.Add(new ValueLookupParameter("MaxGroups", "The maximum number of groups to create.", new IntValue(3)));
}
public override IDeepCloneable Clone(Cloner cloner) {
return new MaxGroupsLinearLinkageCreator(this, cloner);
}
public static LinearLinkage Apply(IRandom random, int length, int maxGroups) {
var groups = Enumerable.Range(0, length).Select(x => Tuple.Create(x, random.Next(maxGroups)))
.GroupBy(x => x.Item2)
.Select(x => x.Select(y => y.Item1).ToList());
return LinearLinkage.FromGroups(length, groups);
}
protected override LinearLinkage Create(IRandom random, int length) {
var maxGroups = MaxGroupsParameter.ActualValue.Value;
return Apply(random, length, maxGroups);
}
}
}