1 | using System;
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2 | using System.Collections.Generic;
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3 | using System.Text;
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4 | using HeuristicLab.Core;
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5 | using HeuristicLab.Data;
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6 | using HeuristicLab.Operators;
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7 | using HeuristicLab.Random;
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8 | using HeuristicLab.Evolutionary;
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9 |
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10 | namespace HeuristicLab.SimOpt {
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11 | public class SimOptDiscreteMultiCrossover : MultiCrossoverBase {
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12 |
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13 | public override string Description {
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14 | get { return @"This operator applies a discrete recombination on the variables defined"; }
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15 | }
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16 |
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17 | public SimOptDiscreteMultiCrossover()
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18 | : base() {
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19 | AddVariableInfo(new VariableInfo("Item", "The item list to be recombined", typeof(ConstrainedItemList), VariableKind.In));
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20 | }
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21 |
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22 | protected override void Cross(IScope scope, IRandom random, IScope[] parents, IScope child) {
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23 | ICollection<IConstraint> violated;
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24 |
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25 | ConstrainedItemList[] p = new ConstrainedItemList[parents.Length];
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26 | for (int i = 0; i < p.Length; i++) {
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27 | p[i] = parents[i].GetVariableValue<ConstrainedItemList>("Item", false);
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28 | if (i > 0 && p[i].Count != p[i-1].Count) throw new InvalidOperationException("ERROR: the lists do not contain the same number of items");
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29 | }
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30 |
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31 | ConstrainedItemList childList = (ConstrainedItemList)p[0].Clone();
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32 | if (childList.Count > 1) {
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33 | int iter = 0;
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34 | do {
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35 | childList.BeginCombinedOperation();
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36 | for (int i = 0; i < childList.Count; i++) {
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37 | int nextParent = random.Next(0, parents.Length);
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38 | if (nextParent > 0) childList.TrySetAt(i, (IItem)p[nextParent].Clone(), out violated);
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39 | }
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40 | } while (!childList.EndCombinedOperation(out violated) && ++iter < 100);
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41 | if (violated.Count == 0) {
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42 | child.AddVariable(new Variable(parents[0].TranslateName("Item"), childList));
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43 | }
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44 | }
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45 | }
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46 | }
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47 | } |
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