[591] | 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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[584] | 23 | using System.Collections.Generic;
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| 24 | using System.Linq;
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| 25 | using System.Text;
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| 26 | using HeuristicLab.Core;
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| 27 | using HeuristicLab.Data;
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| 28 |
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| 29 | namespace HeuristicLab.SimOpt {
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| 30 | public abstract class SimOptCrossoverBase : OperatorBase {
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| 31 | public SimOptCrossoverBase()
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| 32 | : base() {
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| 33 | AddVariableInfo(new VariableInfo("Random", "The PRNG to use", typeof(IRandom), VariableKind.In));
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| 34 | AddVariableInfo(new VariableInfo("Items", "Paramter vector", typeof(ConstrainedItemList), VariableKind.In | VariableKind.Out));
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| 35 | AddVariableInfo(new VariableInfo("Index", "Which parameter to cross", typeof(IntData), VariableKind.In));
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| 36 | GetVariableInfo("Index").Local = true;
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| 37 | AddVariable(new Variable("Index", new IntData(-1)));
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| 38 | }
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| 39 |
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| 40 | public override IOperation Apply(IScope scope) {
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| 41 | IRandom random = GetVariableValue<IRandom>("Random", scope, true);
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| 42 | ConstrainedItemList childVector = GetVariableValue<ConstrainedItemList>("Items", scope, false);
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| 43 | int index = GetVariableValue<IntData>("Index", scope, false).Data;
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| 44 | if (index < 0 || index >= childVector.Count) throw new InvalidOperationException("ERROR in SimOptCrossover: Index is out of range of the parameter vector.");
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| 45 |
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| 46 | for (int i = 1; i < scope.SubScopes.Count; i++) {
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| 47 | object parent1, parent2;
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| 48 | if (i == 1) {
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| 49 | IItem p1 = scope.SubScopes[0].GetVariableValue<ConstrainedItemList>("Items", false)[index];
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| 50 | if (p1 is IVariable)
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| 51 | parent1 = ((((IVariable)p1).Value as IObjectData).Data as ICloneable).Clone();
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| 52 | else
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| 53 | parent1 = ((p1 as IObjectData).Data as ICloneable).Clone();
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| 54 | } else {
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| 55 | IItem p1 = childVector[index];
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| 56 | if (p1 is IVariable)
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| 57 | parent1 = (((IVariable)p1).Value as IObjectData).Data;
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| 58 | else
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| 59 | parent1 = ((IObjectData)p1).Data;
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| 60 | }
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| 61 | IItem p2 = scope.SubScopes[i].GetVariableValue<ConstrainedItemList>("Items", false)[index];
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| 62 | if (p2 is IVariable)
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| 63 | parent2 = (((IVariable)p2).Value as IObjectData).Data;
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| 64 | else
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| 65 | parent2 = ((IObjectData)p2).Data;
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| 66 |
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| 67 | object child = Cross(random, parent1, parent2, scope);
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| 68 |
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| 69 | IItem parameter = childVector[index];
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| 70 | if (parameter is IVariable)
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| 71 | (((IVariable)parameter).Value as IObjectData).Data = child;
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| 72 | else {
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| 73 | ((IObjectData)parameter).Data = child;
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| 74 | }
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| 75 | }
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| 76 | return null;
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| 77 | }
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| 78 |
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| 79 | protected abstract object Cross(IRandom random, object parent1, object parent2, IScope scope);
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| 80 | }
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| 81 | }
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