1 | // This file is a part of Framsticks SDK. http://www.framsticks.com/ |
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2 | // Copyright (C) 1999-2020 Maciej Komosinski and Szymon Ulatowski. |
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3 | // See LICENSE.txt for details. |
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4 | |
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5 | #ifndef _GREEDY_MEASURE_H |
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6 | #define _GREEDY_MEASURE_H |
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7 | |
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8 | #include "measure-mds-based.h" |
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9 | #include "frams/genetics/geno.h" |
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10 | #include "frams/model/model.h" |
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11 | #include "simil-match.h" |
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12 | |
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13 | #define TDN_SIZE 5 |
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14 | |
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15 | |
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16 | enum TDNELEMS2 |
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17 | { |
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18 | ORG_IND = 0, |
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19 | DEG = 1, |
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20 | NEUR_CONNS = 2, |
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21 | NEUROS = 3, |
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22 | FUZ_DEG = 4 |
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23 | }; |
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24 | |
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25 | class SimilMeasureGreedy : public SimilMeasureMDSBased |
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26 | { |
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27 | public: |
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28 | SimilMeasureGreedy(); |
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29 | ~SimilMeasureGreedy(){}; |
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30 | |
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31 | static int compareDegrees(const void *pElem1, const void *pElem2); |
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32 | static int compareFuzzyDegrees(const void *pElem1, const void *pElem2); |
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33 | static int compareConnsNo(const void *pElem1, const void *pElem2); |
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34 | static int getNOFactors(); |
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35 | int setParams(std::vector<double> params); |
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36 | /// Interface to local parameters |
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37 | Param localpar; |
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38 | /// Table of weights for weighted distance function. |
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39 | /// Weights are for factors in the following order: |
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40 | /// [0]: m_iDV (difference in the number of vertices) |
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41 | /// [1]: m_iDD (difference in degrees over matching) |
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42 | /// [2]: m_iDN (difference in neurons over matching) |
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43 | /// [3]: m_dDG (difference in geometry over matching) |
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44 | /// @sa EvaluateDistance |
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45 | double m_adFactors[4]; |
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46 | |
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47 | //Controls the depth of fuzzy neighbourhood |
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48 | int fuzzyDepth; |
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49 | bool isFuzzy; |
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50 | |
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51 | protected: |
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52 | double distanceForTransformation(); |
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53 | double distanceWithoutAlignment(); |
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54 | void prepareData(); |
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55 | void beforeTransformation(); |
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56 | void computeMatching(); |
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57 | void copyMatching(); |
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58 | void cleanData(); |
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59 | |
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60 | int sortPartInfoTables(); |
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61 | int countPartNeurons(); |
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62 | int countPartDegrees(); |
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63 | int countPartsDistance(); |
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64 | |
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65 | void countFuzzyNeighb(); |
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66 | void sortFuzzyNeighb(); |
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67 | void getNeighbIndexes(int mod, int partInd, std::vector<int> &indexes); |
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68 | void fuzzyOrder(); |
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69 | int createPartInfoTables(); |
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70 | |
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71 | void _PrintArray(int *array, int base, int size); |
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72 | void _PrintArrayDouble(double *array, int base, int size); |
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73 | void _PrintDegrees(int i); |
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74 | void _PrintNeighbourhood(int i); |
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75 | void _PrintFuzzyNeighbourhood(int i); |
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76 | void _PrintSeamnessTable(std::vector<int> *pVector, int iCount); |
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77 | void _PrintPartsMatching(); |
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78 | void saveIntermediateFiles(); |
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79 | |
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80 | /// Number of parts of two creatures (index the same as for m_Mod). |
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81 | int m_aiPartCount[2]; |
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82 | |
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83 | /// Difference between number of parts in organisms |
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84 | int m_iDV; |
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85 | |
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86 | /// Sum of absolute values of differences between matched part degrees |
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87 | int m_iDD; |
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88 | |
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89 | /// Sum of absolute values of differences between matched part |
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90 | /// in neurons number. |
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91 | int m_iDN; |
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92 | //2 matrices of neighbourhood of parts - one for each genotype |
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93 | |
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94 | /// Sum of Euclidean distances between matched parts |
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95 | /// Unmatched Parts have the distance measured to (0,0,0) (the middle of |
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96 | /// an organism) |
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97 | double m_dDG; |
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98 | |
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99 | /// Object that holds the matching of Parts. |
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100 | SimilMatching *m_pMatching; |
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101 | /// Object that holds temporary matching of Parts. |
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102 | SimilMatching *tempMatching; |
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103 | |
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104 | /// Type of 4 ints - describing one Part of the creature in |
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105 | /// its sorted table of degrees |
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106 | /// TDN[0] - original index of creature's Part (that is "i" from GetPart(i)) |
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107 | /// TDN[1] - degree (number of adjacent joints) of one Part |
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108 | /// TDN[2] - number of NeuroConnections and Neurons belonging to one Part |
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109 | /// TDN[3] - number of Neurons of the Part |
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110 | /// TDN[4] - fuzzy degree |
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111 | typedef int TDN[5]; |
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112 | |
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113 | /** 2 arrays holding information about compared organisms (one for each |
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114 | creature) of degree and neuro info for Parts. |
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115 | Index corresponds to the one in m_Mod |
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116 | m_aDegrees[i][j] is a TDN of the j-th Part of the i-th creature in m_Mod |
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117 | */ |
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118 | TDN *m_aDegrees[2]; |
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119 | |
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120 | //std::pair<TDN, double> *m_aDegrees[2]; |
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121 | /// Holds information on all on-joint neurons. Only TDN[3] and TDN[4] |
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122 | /// are important (original index and degree are not important). |
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123 | TDN m_aOnJoint[2]; |
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124 | |
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125 | /// Holds information on all neurons that are not placed neither on |
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126 | /// a joint nor on a part. Only TDN[3] and TDN[4] |
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127 | /// are important (original index and degree are not important). |
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128 | TDN m_aAnywhere[2]; |
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129 | |
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130 | //array of parts neighbourhood |
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131 | int **m_Neighbours[2]; |
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132 | //array of "fuzzy neigbourhood" for each of organisms. Dimensions: parts_num x fuzzyDepth |
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133 | float **m_fuzzyNeighb[2]; |
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134 | |
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135 | /// Number of weights in the function which evaluates distance. |
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136 | static const int iNOFactors; |
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137 | }; |
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138 | |
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139 | #endif /* GREEDY_MEASURE_H */ |
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140 | |
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