#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);
}
}
}