#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 HeuristicLab.Common;
using HeuristicLab.Core;
using HEAL.Attic;
namespace HeuristicLab.Encodings.LinearLinkageEncoding {
[Item("Single Point Crossover", "The single point crossover concatenates two linkage strings at a randomly chosen point.")]
[StorableType("1F1A83F4-659C-4A88-9A0C-4507257A3741")]
public sealed class SinglePointCrossover : LinearLinkageCrossover {
[StorableConstructor]
private SinglePointCrossover(StorableConstructorFlag _) : base(_) { }
private SinglePointCrossover(SinglePointCrossover original, Cloner cloner) : base(original, cloner) { }
public SinglePointCrossover() { }
public override IDeepCloneable Clone(Cloner cloner) {
return new SinglePointCrossover(this, cloner);
}
public static LinearLinkage Apply(IRandom random, LinearLinkage p1, LinearLinkage p2) {
var length = p1.Length;
var child = LinearLinkage.SingleElementGroups(length);
var bp = random.Next(length - 1);
for (var i = 0; i <= bp; i++) child[i] = p1[i];
for (var i = bp + 1; i < length; i++) child[i] = p2[i];
child.LinearizeTreeStructures();
return child;
}
protected override LinearLinkage Cross(IRandom random, ItemArray parents) {
if (parents.Length != 2) throw new InvalidOperationException(Name + ": Can only cross exactly two parents.");
return Apply(random, parents[0], parents[1]);
}
}
}