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ga-evolution.txt
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print ga.bestIndividual()
>>: 0 22 11 [ 0. 1.1 1.83 2.88 4.18 5.08]
>>: 1 38 79 [ 0. 0.95 1.8 3.07 3.97 4.9 ]
>>: 2 18 82 [ 0. 0.95 1.98 2.92 4.01 4.88]
>>: 3 23 175 [ 0. 0.88 1.82 2.94 4.22 5.04]
>>: 4 142 101 [ 0. 1.13 1.95 3.04 4.11 4.89]
>>: 5 26 83 [ 0. 0.97 1.87 2.88 4.01 4.98]
>>: 6 22 165 [ 0. 0.88 1.93 2.86 4.11 4.93]
>>: 7 28 4 [ 0. 1.04 1.76 2.84 4.24 5.04]
>>: 8 155 68 [ 0. 1.11 1.95 2.82 4.14 5.05]
>>: 9 26 10 [ 0. 1.06 1.77 2.98 4.19 5.14]
>>: 10 20 167 [ 0. 0.88 1.9 2.96 4.16 5.1 ]
>>: 11 21 76 [ 0. 0.98 1.97 2.8 4.08 5.17]
>>: 12 29 8 [ 0. 1.03 1.8 3.05 4.18 4.9 ]
>>: 13 14 95 [ 0. 0.94 1.89 2.84 3.97 5.01]
>>: 14 162 96 [ 0. 1.11 1.91 2.78 3.98 5.11]
>>: 15 28 79 [ 0. 0.95 1.73 2.89 4.16 5.06]
>>: 16 174 115 [ 0. 1.17 1.92 3.08 4.06 5.12]
>>: 17 22 163 [ 0. 0.89 1.7 3. 4.18 5.01]
>>: 18 172 85 [ 0. 1.11 1.91 3.06 4.03 4.88]
>>: 19 19 163 [ 0. 0.87 1.97 2.82 4.08 5.08]
>>: 20 193 60 [ 0. 1.12 1.78 2.82 4.17 5.17]
>>: 21 35 13 [ 0. 1.02 1.94 3.01 4.15 4.95]
>>: 22 27 8 [ 0. 1.08 1.93 3.04 4.14 5.03]
>>: 23 31 7 [ 0. 1.09 1.75 2.9 4.04 5.16]
>>: 24 31 5 [ 0. 1.07 1.76 2.94 4.14 4.89]
>>: 25 28 85 [ 0. 0.92 1.7 2.95 4.12 5.07]
>>: 26 180 92 [ 0. 1.11 1.93 3. 4.15 4.96]
>>: 27 19 7 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 28 26 104 [ 0. 0.99 1.94 2.77 4.24 5.11]
>>: 29 30 78 [ 0. 0.91 1.89 2.92 4.07 5.11]
>>: 30 157 77 [ 0. 1.15 1.91 2.9 4.11 4.95]
>>: 31 159 94 [ 0. 1.17 1.83 2.83 4.16 4.96]
>>: 32 26 82 [ 0. 0.91 1.97 2.94 4.01 5.05]
>>: 33 28 90 [ 0. 0.94 1.79 3.08 4.25 5.08]
>>: 34 42 8 [ 0. 1.05 1.79 2.88 4.02 4.94]
>>: 35 32 50 [ 0. 1. 1.76 3.04 4.19 5.16]
>>: 36 162 71 [ 0. 1.13 1.81 2.99 4.11 4.9 ]
>>: 37 29 84 [ 0. 0.93 1.94 3.01 4.06 4.97]
>>: 38 179 95 [ 0. 1.12 1.83 3.07 4.11 5.06]
>>: 39 21 103 [ 0. 0.93 1.74 2.96 4.05 4.97]
>>: 40 37 4 [ 0. 1.05 1.72 3.06 4.09 5.11]
>>: 41 19 10 [ 0. 1.04 1.9 2.92 3.97 5.07]
>>: 42 25 3 [ 0. 1.07 1.81 3. 3.94 5.01]
>>: 43 31 6 [ 0. 1.03 1.78 2.8 4.23 4.97]
>>: 44 23 110 [ 0. 0.95 1.93 2.8 4. 5.03]
>>: 45 25 169 [ 0. 0.88 1.8 2.99 4.09 5.18]
>>: 46 20 131 [ 0. 0.9 1.7 3.02 4.19 5.15]
>>: 47 164 82 [ 0. 1.13 1.93 2.82 4.22 5.05]
>>: 48 20 127 [ 0. 0.9 1.89 3.02 4.12 5.08]
>>: 49 38 185 [ 0. 0.86 1.71 3.02 4.02 5.08]
Gen. 0 (0.00%): Max/Min/Avg Fitness(Raw) [1035.29(974.00)/627.41(711.00)/862.74(862.74)]
>>: 50 29 16 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 51 25 7 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 52 18 11 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 53 24 11 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 54 20 8 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 55 26 19 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 56 24 18 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 57 23 6 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 58 25 14 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 59 27 23 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 60 20 14 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 61 37 25 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 62 25 12 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 63 19 15 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 64 23 18 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 65 25 18 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 66 24 12 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 67 18 11 [ 0. 1.06 1.87 2.86 4.24 4.99]
>>: 68 24 12 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 69 17 11 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 70 33 25 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 71 42 8 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 72 24 12 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 73 30 8 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 74 27 10 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 75 22 5 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 76 33 10 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 77 23 12 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 78 20 7 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 79 29 18 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 80 194 102 [ 0. 1.16 1.9 2.86 4.11 4.99]
>>: 81 32 11 [ 0. 1.06 1.87 2.86 4.24 4.99]
>>: 82 27 11 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 83 19 4 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 84 22 25 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 85 29 11 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 86 22 11 [ 0. 1.03 2. 2.86 4.14 4.99]
>>: 87 28 15 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 88 23 7 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 89 25 18 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 90 21 14 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 91 29 13 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 92 26 10 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 93 33 6 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 94 20 19 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 95 31 10 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 96 16 24 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 97 16 25 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 98 30 19 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 99 29 9 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 100 18 10 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 101 18 18 [ 0. 1.06 2. 2.86 4.06 5.04]
>>: 102 31 16 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 103 21 13 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 104 22 6 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 105 27 11 [ 0. 1.06 2. 2.89 4.11 4.96]
>>: 106 27 18 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 107 27 9 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 108 20 9 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 109 29 14 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 110 29 14 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 111 22 14 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 112 22 13 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 113 23 12 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 114 32 11 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 115 22 10 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 116 29 12 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 117 183 91 [ 0. 1.16 1.9 2.86 4.11 4.99]
>>: 118 23 11 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 119 32 10 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 120 21 19 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 121 22 20 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 122 20 25 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 123 22 17 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 124 24 6 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 125 20 14 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 126 21 9 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 127 25 8 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 128 24 17 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 129 31 15 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 130 22 24 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 131 20 17 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 132 21 8 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 133 34 18 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 134 22 21 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 135 19 8 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 136 37 8 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 137 24 8 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 138 24 7 [ 0. 1.06 1.79 3.07 4.11 4.99]
>>: 139 23 14 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 140 22 3 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 141 11 17 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 142 23 10 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 143 13 80 [ 0. 0.95 2. 2.97 4.11 4.99]
>>: 144 26 16 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 145 24 17 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 146 20 11 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 147 16 13 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 148 28 21 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 149 31 28 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 150 25 16 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 151 15 14 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 152 18 12 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 153 21 13 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 154 24 24 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 155 26 9 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 156 17 14 [ 0. 1.06 1.87 2.86 4.24 4.99]
>>: 157 23 8 [ 0. 1.06 2. 2.86 4.06 5.04]
>>: 158 26 11 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 159 21 15 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 160 19 19 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 161 23 12 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 162 31 17 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 163 32 11 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 164 30 26 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 165 16 23 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 166 20 20 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 167 17 18 [ 0. 1.06 2. 2.94 4.03 4.99]
>>: 168 22 8 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 169 18 11 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 170 26 17 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 171 27 3 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 172 14 17 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 173 26 11 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 174 20 8 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 175 25 20 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 176 23 11 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 177 19 96 [ 0. 0.95 2. 2.97 4.11 4.99]
>>: 178 27 9 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 179 21 20 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 180 24 9 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 181 25 95 [ 0. 0.95 2. 2.97 4.11 4.99]
>>: 182 21 13 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 183 23 17 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 184 26 10 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 185 32 27 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 186 22 14 [ 0. 1.06 2. 2.89 4.11 4.96]
>>: 187 20 16 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 188 17 14 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 189 22 17 [ 0. 1.06 2. 2.86 4.06 5.04]
>>: 190 25 8 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 191 26 22 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 192 28 14 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 193 28 6 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 194 24 31 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 195 11 13 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 196 16 12 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 197 19 18 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 198 24 15 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 199 26 11 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 200 29 11 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 201 18 24 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 202 19 17 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 203 28 17 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 204 23 16 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 205 25 24 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 206 20 18 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 207 28 14 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 208 25 14 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 209 22 15 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 210 18 14 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 211 27 10 [ 0. 1.06 1.82 2.86 4.11 5.17]
>>: 212 17 16 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 213 26 18 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 214 18 13 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 215 22 14 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 216 23 12 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 217 23 110 [ 0. 0.95 2. 2.97 4.11 4.99]
>>: 218 23 12 [ 0. 1.06 2. 2.89 4.11 4.96]
>>: 219 19 23 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 220 26 7 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 221 29 8 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 222 17 13 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 223 19 11 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 224 17 12 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 225 27 12 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 226 19 13 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 227 32 12 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 228 25 14 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 229 18 21 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 230 28 4 [ 0. 1.03 2. 2.86 4.14 4.99]
>>: 231 21 13 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 232 24 6 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 233 21 27 [ 0. 1.06 2. 2.89 4.11 4.96]
>>: 234 19 18 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 235 19 15 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 236 21 10 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 237 28 14 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 238 24 14 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 239 25 11 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 240 25 8 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 241 17 18 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 242 28 8 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 243 24 12 [ 0. 1.03 2. 2.86 4.14 4.99]
>>: 244 27 6 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 245 37 5 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 246 19 17 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 247 24 18 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 248 28 18 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 249 24 22 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 250 20 8 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 251 26 11 [ 0. 1.03 2. 2.86 4.14 4.99]
>>: 252 34 18 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 253 28 16 [ 0. 1.06 2. 2.86 4.11 4.99]
>>: 254 20 8 [ 0. 1.06 2. 2.86 4.11 4.99]
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>>: 494 29 102 [ 0. 0.98 2. 2.86 4.11 5.07]
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>>: 499 20 8 [ 0. 1.06 1.87 2.86 4.24 4.99]
Gen. 9 (100.00%): Max/Min/Avg Fitness(Raw) [1150.39(979.00)/245.46(883.00)/958.66(958.66)]
Total time elapsed: 81137.764 seconds.
- GenomeBase
Score: 979.000000
Fitness: 1150.392000
Params: {'rangemax': 31, 'rangemin': 0}
Slot [Evaluator] (Count: 1)
Name: eval_func - Weight: 0.50
Slot [Initializator] (Count: 1)
Name: G1DListInitializatorInteger - Weight: 0.50
Doc: Integer initialization function of G1DList
This initializator accepts the *rangemin* and *rangemax* genome parameters.
Slot [Mutator] (Count: 1)
Name: G1DListMutatorSwap - Weight: 0.50
Doc: The mutator of G1DList, Swap Mutator
.. note:: this mutator is :term:`Data Type Independent`
Slot [Crossover] (Count: 1)
Name: G1DListCrossoverSinglePoint - Weight: 0.50
Doc: The crossover of G1DList, Single Point
.. warning:: You can't use this crossover method for lists with just one element.
- G1DList
List size: 5
List: [20, 30, 9, 17, 12]
Star