1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using System;
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23 | using System.Collections.Generic;
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24 | using System.Text;
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25 | using HeuristicLab.Core;
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26 | using HeuristicLab.Evolutionary;
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27 |
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28 | namespace HeuristicLab.Permutation {
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29 | public abstract class PermutationCrossoverBase : CrossoverBase {
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30 | public PermutationCrossoverBase()
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31 | : base() {
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32 | AddVariableInfo(new VariableInfo("Permutation", "Parent and child permutations", typeof(Permutation), VariableKind.In | VariableKind.New));
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33 | }
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34 |
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35 | protected sealed override void Cross(IScope scope, IRandom random, IScope parent1, IScope parent2, IScope child) {
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36 | Permutation perm1 = parent1.GetVariableValue<Permutation>("Permutation", false);
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37 | Permutation perm2 = parent2.GetVariableValue<Permutation>("Permutation", false);
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38 |
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39 | if (perm1.Data.Length != perm2.Data.Length) throw new InvalidOperationException("Cannot apply crossover to permutations of different length.");
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40 |
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41 | int[] result = Cross(scope, random, perm1.Data, perm2.Data);
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42 | child.AddVariable(new Variable(scope.TranslateName("Permutation"), new Permutation(result)));
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43 | }
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44 |
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45 | protected abstract int[] Cross(IScope scope, IRandom random, int[] parent1, int[] parent2);
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46 | }
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47 | }
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