#region License Information
/* HeuristicLab
* Copyright (C) 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 HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Encodings.IntegerVectorEncoding;
using HEAL.Attic;
namespace HeuristicLab.Encodings.ScheduleEncoding.PriorityRulesVector {
[Item("PRVDiscreteCrossover", "Represents a crossover operation swapping sequences of the parents to generate offspring.")]
[StorableType("79050109-0BDC-4EBE-A290-D32F99BB45D4")]
public class PRVDiscreteCrossover : PRVCrossover {
[StorableConstructor]
protected PRVDiscreteCrossover(StorableConstructorFlag _) : base(_) { }
protected PRVDiscreteCrossover(PRVDiscreteCrossover original, Cloner cloner) : base(original, cloner) { }
public PRVDiscreteCrossover() : base() { }
public override IDeepCloneable Clone(Cloner cloner) {
return new PRVDiscreteCrossover(this, cloner);
}
public static PRVEncoding Apply(IRandom random, PRVEncoding parent1, PRVEncoding parent2) {
return new PRVEncoding(DiscreteCrossover.Apply(random, new ItemArray(new IntegerVector[] { parent1.PriorityRulesVector, parent2.PriorityRulesVector })), parent1.NrOfRules);
}
public override PRVEncoding Cross(IRandom random, PRVEncoding parent1, PRVEncoding parent2) {
return Apply(random, parent1, parent2);
}
}
}