#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; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Optimization; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Encodings.PermutationEncoding { [Item("Permutation", "Represents a permutation of integer values.")] [StorableClass] public class Permutation : IntArray, ISolution { [Storable] private PermutationTypes permutationType; /// /// Gets the type of the permutation (see ). /// public PermutationTypes PermutationType { get { return permutationType; } set { bool changed = (permutationType != value); permutationType = value; if (changed) OnPermutationTypeChanged(); } } [StorableConstructor] protected Permutation(bool deserializing) : base(deserializing) { } protected Permutation(Permutation original, Cloner cloner) : base(original, cloner) { this.permutationType = original.permutationType; } public Permutation() : this(PermutationTypes.RelativeUndirected) { } public Permutation(PermutationTypes type) : base() { permutationType = type; } public Permutation(PermutationTypes type, int length) : base(length) { for (int i = 0; i < length; i++) this[i] = i; permutationType = type; } public Permutation(PermutationTypes type, int length, IRandom random) : this(type, length) { Randomize(random); } public Permutation(PermutationTypes type, int[] elements) : base(elements) { permutationType = type; } public Permutation(PermutationTypes type, IntArray elements) : this(type, elements.Length) { for (int i = 0; i < array.Length; i++) array[i] = elements[i]; } public override IDeepCloneable Clone(Cloner cloner) { return new Permutation(this, cloner); } public virtual bool Validate() { bool[] values = new bool[Length]; int value; for (int i = 0; i < values.Length; i++) values[i] = false; for (int i = 0; i < Length; i++) { value = this[i]; if ((value < 0) || (value >= values.Length)) return false; if (values[value]) return false; values[value] = true; } return true; } public virtual void Randomize(IRandom random, int startIndex, int length) { if (length > 1) { // Knuth shuffle int index1, index2; int val; for (int i = length - 1; i > 0; i--) { index1 = startIndex + i; index2 = startIndex + random.Next(i + 1); if (index1 != index2) { val = array[index1]; array[index1] = array[index2]; array[index2] = val; } } OnReset(); } } public void Randomize(IRandom random) { Randomize(random, 0, Length); } public virtual int GetCircular(int position) { if (position >= Length) position = position % Length; while (position < 0) position += Length; return this[position]; } public event EventHandler PermutationTypeChanged; protected virtual void OnPermutationTypeChanged() { var handler = PermutationTypeChanged; if (handler != null) handler(this, EventArgs.Empty); } } }