1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2019 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 HEAL.Attic;
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23 | using HeuristicLab.Common;
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24 | using HeuristicLab.Core;
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25 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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26 | using HeuristicLab.Random;
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27 | using System.Collections.Generic;
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28 | using System.Linq;
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29 |
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30 | namespace HeuristicLab.Algorithms.EvolvmentModelsOfModels {
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31 | [Item("IslandMap", "A map of models of models of models")]
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32 | [StorableType("E4AB04B9-FD5D-47EE-949D-243660754F3A")]
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33 | public class EMMIslandMap : EMMMapBase<ISymbolicExpressionTree> {
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34 | [Storable]
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35 | public List<int> ClusterNumber { get; set; } // May be only Island Map really need it
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36 | #region conctructors
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37 | [StorableConstructor]
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38 | protected EMMIslandMap(StorableConstructorFlag _) : base(_) { }
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39 | public EMMIslandMap() {
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40 | ModelSet = new List<ISymbolicExpressionTree>();
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41 | ClusterNumber = new List<int>();
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42 | }
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43 | public override IDeepCloneable Clone(Cloner cloner) {
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44 | return new EMMIslandMap(this, cloner);
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45 | }
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46 | public EMMIslandMap(EMMIslandMap original, Cloner cloner) : base(original, cloner) {
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47 | if (original.ClusterNumber != null) {
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48 | ClusterNumber = original.ClusterNumber.ToList();
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49 | }
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50 | }
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51 | #endregion
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52 | #region MapApplayFunctions
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53 | override public void CreateMap(IRandom random, int k) {
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54 |
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55 | k = EMModelsClusterizationAlgorithm.ApplyClusteringAlgorithm(random, CalculateDistances(), ClusterNumber, k);
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56 | MapSizeCheck(k);
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57 | for (int i = 0; i < ModelSet.Count; i++) {
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58 | Map[ClusterNumber[i]].Add(i);
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59 | }
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60 | }
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61 | override public ISymbolicExpressionTree NewModelForInizializtionNotTree(IRandom random, out int treeNumber) {
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62 | return NewModelForInizializtion(random, out treeNumber);
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63 | }
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64 |
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65 | public override ISymbolicExpressionTree NewModelForMutation(IRandom random, out int treeNumber, int parentTreeNumber) {
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66 | if (parentTreeNumber == -10) {
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67 | treeNumber = random.Next(ModelSet.Count);
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68 | } else {
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69 | treeNumber = Map[ClusterNumber[parentTreeNumber]].SampleRandom(random);
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70 | }
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71 | return (ISymbolicExpressionTree)ModelSet[treeNumber].Clone();
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72 | }
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73 | public void ClusterNumbersCalculate() { // May be it should be transported to Child Clase (IslandMap)
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74 | for (int i = 0; i < Map.Count; i++) {
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75 | for (int j = 0; j < Map[i].Count; j++) {
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76 | ClusterNumber.Add(0);
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77 | }
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78 | }
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79 | for (int i = 0; i < Map.Count; i++) {
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80 | for (int j = 0; j < Map[i].Count; j++) {
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81 | ClusterNumber[Map[i][j]] = i;
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82 | }
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83 | }
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84 | }
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85 | #endregion
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86 |
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87 | }
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88 | }
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