├── 2.数据结构2.6.pdf
├── 3.快速入门2.6.pdf
├── 4.进化算法模板2.6.pdf
├── LICENCE
├── README.md
├── 人群.png
├── 单人.png
└── 遗传算法求解
    ├── ACC34.txt
    ├── ACC51.txt
    ├── Disp134.txt
    ├── Disp34.txt
    ├── GA.py
    ├── Load.txt
    ├── Mass.txt
    ├── Node_Messages.txt
    ├── ObjV
        └── out_ObjV0.txt
    ├── Phen
        └── out_Phen0.txt
    ├── TEST.py
    ├── __pycache__
        └── bridge.cpython-39.pyc
    ├── bridge.py
    └── result of job 2023-01-29 14h-50m-16s
        ├── Trace Plot.svg
        ├── algorithm info.txt
        ├── optPop
            ├── Chrom.csv
            ├── Encoding.txt
            ├── Field.csv
            ├── FitnV.csv
            ├── ObjV.csv
            └── Phen.csv
        ├── population info.txt
        ├── problem info.txt
        └── result info.txt


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/LICENCE:
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 1 | MIT License
 2 | 
 3 | Copyright (c) 2023 AshenOneme
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


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/README.md:
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 1 | # Structural-optimization-based-on-genetic-algorithm
 2 | # 基于遗传算法的桥梁人致振动优化 #
 3 | 
 4 | <div align=center>
 5 |   <img height="250px" src="https://user-images.githubusercontent.com/98397090/215322917-744ecc35-fb79-4c79-a06d-11c333d31674.png" />
 6 |   <img height="250px" src="https://user-images.githubusercontent.com/98397090/215425283-a11178d6-726a-427d-9718-cfc7441e4c19.gif" />
 7 | </div>
 8 | 
 9 | * ### 最优化调谐质量阻尼器(Tuned Mass Damper,TMD)参数设计
10 | ```diff
11 | #结构实际总质量 222.624t
12 | #一阶振型参与质量 182.552t
13 | #一阶质量占比 82%
14 | import math
15 | #一阶模态质量
16 | mass_moda=182.552
17 | #结构阻尼比
18 | damping_ratio_structure=0.02
19 | #结构一阶频率
20 | frequency_structure = 1.758
21 | ω=2*math.pi*frequency_structure
22 | 
23 | def tmd(ratio):
24 |     mass_ratio_TMD=ratio/100
25 |     mass_total_TMD=mass_ratio_TMD*mass_moda
26 |     δ=(1-damping_ratio_structure*(math.sqrt(mass_ratio_TMD/(1+mass_ratio_TMD))))/(1+mass_ratio_TMD)
27 |     damping_ratio_TMD=damping_ratio_structure/(1+mass_ratio_TMD)+math.sqrt(mass_ratio_TMD/(1+mass_ratio_TMD))
28 |     ω_TMD=δ*ω
29 |     K_TMD=mass_total_TMD*math.pow(ω_TMD,2)
30 |     C_TMD=2*mass_total_TMD* ω_TMD*damping_ratio_TMD
31 |     return K_TMD,C_TMD,mass_total_TMD
32 | ---> K=109.95 N/mm, C=1.81 N/(mm/s), M=0.91 ton
33 | ```
34 | 
35 | _结构模态信息_
36 | <div align=center>
37 |     
38 | |_MODE NO_|__FREQUENCY__|__X-COMPONENT__|__Y-COMPONENT__|__Z-COMPONENT__|
39 | |:---:|:---:|:---:|:---:|:---:|
40 | |1|1.758|0.215%|0.017%|82.005%|
41 | |MODAL MASS| |X:0.479|Y:0.038|Z:182.552|
42 | |2|2.564|99.513%|0.000%|0.172%|
43 | |MODAL MASS| |X:221.527|Y:0.000|Z:0.382|
44 | |3|3.679|0.010%|82.141%|0.024%|
45 | |MODAL MASS| |X:0.022|Y:182.856|Z:0.054|
46 |     
47 | </div>
48 | 
49 | * ### 人行荷载计算
50 | ```
51 | #单人移动荷载
52 | fp=2
53 | G=750
54 | Alpha1=0.5
55 | Alpha2=0.2
56 | Alpha3=0.1
57 | f1=1.69
58 | f2=2.41
59 | f3=2.99
60 | t=np.arange(0,3.01,0.01)
61 | Fp=G+G*(Alpha1*np.sin(2*np.pi*1*fp*t)+Alpha2*np.sin(2*np.pi*2*fp*t-np.pi/2)+Alpha3*np.sin(2*np.pi*3*fp*t-np.pi/2))
62 | ```
63 | 
64 | <div align=center>
65 |   <img height="180px" src="https://user-images.githubusercontent.com/98397090/215421119-97556e0e-394a-45e9-b519-b3bdfbc83521.png" />
66 |   <img height="180px" src="https://user-images.githubusercontent.com/98397090/215420032-ddf91613-c362-4a32-ab27-794237389084.png" />
67 | </div>
68 | 
69 | * ### GA算法优化结果展示 ###
70 | <div align=center>
71 |   <img height="250px" src="https://user-images.githubusercontent.com/98397090/215321260-7b035c60-78ed-47d2-8f28-d39df2b7decb.svg" />
72 |   <img height="250px" src="https://user-images.githubusercontent.com/98397090/215424980-766b7925-c994-419a-be9d-ca2b093d8a5b.svg" />
73 | </div>
74 | 
75 | </p>
76 | &emsp;&emsp; 
77 | 
78 | <table align="center">
79 |   <tr>
80 |     <td><img src="https://user-images.githubusercontent.com/98397090/215423884-1d9e3a94-7ab4-4a6f-82e1-af1736f2a63a.png"/></td>
81 |     <td><img src="https://user-images.githubusercontent.com/98397090/215424145-294a33a9-3688-4ad5-9f25-f192ba299aff.png"/></td>
82 |   </tr>
83 |   <tr>
84 |     <td colspan="2">
85 |     <div align=center>(a) 迭代进化20轮</div>
86 |     </td>
87 |   </tr>
88 |   <tr>
89 |     <td><img src="https://user-images.githubusercontent.com/98397090/215427499-97338acf-fb0e-4f61-9e76-5678d0f25fdc.png"/></td>
90 |     <td><img src="https://user-images.githubusercontent.com/98397090/215427600-c250ee6d-7ada-4346-b30f-33519d3a41f8.png"/></td>
91 |   </tr>
92 |   <tr>
93 |     <td colspan="2">
94 |     <div align=center>(b) 迭代进化35轮</div>
95 |     </td>
96 |   </tr>
97 | </table>
98 | 
99 | 


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/单人.png:
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/遗传算法求解/Disp34.txt:
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   1 | 0.01 162.356
   2 | 0.02 162.362
   3 | 0.03 162.374
   4 | 0.04 162.391
   5 | 0.05 162.415
   6 | 0.06 162.446
   7 | 0.07 162.487
   8 | 0.08 162.538
   9 | 0.09 162.595
  10 | 0.1 162.654
  11 | 0.11 162.71
  12 | 0.12 162.761
  13 | 0.13 162.808
  14 | 0.14 162.85
  15 | 0.15 162.885
  16 | 0.16 162.912
  17 | 0.17 162.93
  18 | 0.18 162.94
  19 | 0.19 162.942
  20 | 0.2 162.938
  21 | 0.21 162.926
  22 | 0.22 162.903
  23 | 0.23 162.868
  24 | 0.24 162.82
  25 | 0.25 162.757
  26 | 0.26 162.68
  27 | 0.27 162.59
  28 | 0.28 162.489
  29 | 0.29 162.379
  30 | 0.3 162.261
  31 | 0.31 162.139
  32 | 0.32 162.014
  33 | 0.33 161.889
  34 | 0.34 161.765
  35 | 0.35 161.642
  36 | 0.36 161.52
  37 | 0.37 161.401
  38 | 0.38 161.286
  39 | 0.39 161.178
  40 | 0.4 161.079
  41 | 0.41 160.992
  42 | 0.42 160.919
  43 | 0.43 160.862
  44 | 0.44 160.823
  45 | 0.45 160.804
  46 | 0.46 160.806
  47 | 0.47 160.828
  48 | 0.48 160.87
  49 | 0.49 160.931
  50 | 0.5 161.01
  51 | 0.51 161.107
  52 | 0.52 161.222
  53 | 0.53 161.354
  54 | 0.54 161.504
  55 | 0.55 161.669
  56 | 0.56 161.849
  57 | 0.57 162.043
  58 | 0.58 162.248
  59 | 0.59 162.46
  60 | 0.6 162.678
  61 | 0.61 162.896
  62 | 0.62 163.113
  63 | 0.63 163.325
  64 | 0.64 163.529
  65 | 0.65 163.724
  66 | 0.66 163.907
  67 | 0.67 164.076
  68 | 0.68 164.23
  69 | 0.69 164.366
  70 | 0.7 164.482
  71 | 0.71 164.577
  72 | 0.72 164.647
  73 | 0.73 164.691
  74 | 0.74 164.708
  75 | 0.75 164.696
  76 | 0.76 164.654
  77 | 0.77 164.585
  78 | 0.78 164.487
  79 | 0.79 164.362
  80 | 0.8 164.213
  81 | 0.81 164.04
  82 | 0.82 163.846
  83 | 0.83 163.632
  84 | 0.84 163.4
  85 | 0.85 163.152
  86 | 0.86 162.89
  87 | 0.87 162.617
  88 | 0.88 162.337
  89 | 0.89 162.051
  90 | 0.9 161.765
  91 | 0.91 161.482
  92 | 0.92 161.205
  93 | 0.93 160.939
  94 | 0.94 160.687
  95 | 0.95 160.451
  96 | 0.96 160.234
  97 | 0.97 160.04
  98 | 0.98 159.869
  99 | 0.99 159.725
 100 | 1 159.608
 101 | 1.01 159.521
 102 | 1.02 159.465
 103 | 1.03 159.441
 104 | 1.04 159.451
 105 | 1.05 159.494
 106 | 1.06 159.571
 107 | 1.07 159.681
 108 | 1.08 159.823
 109 | 1.09 159.995
 110 | 1.1 160.195
 111 | 1.11 160.421
 112 | 1.12 160.67
 113 | 1.13 160.939
 114 | 1.14 161.226
 115 | 1.15 161.527
 116 | 1.16 161.84
 117 | 1.17 162.162
 118 | 1.18 162.488
 119 | 1.19 162.815
 120 | 1.2 163.14
 121 | 1.21 163.458
 122 | 1.22 163.766
 123 | 1.23 164.059
 124 | 1.24 164.334
 125 | 1.25 164.589
 126 | 1.26 164.818
 127 | 1.27 165.022
 128 | 1.28 165.196
 129 | 1.29 165.34
 130 | 1.3 165.452
 131 | 1.31 165.53
 132 | 1.32 165.574
 133 | 1.33 165.582
 134 | 1.34 165.555
 135 | 1.35 165.492
 136 | 1.36 165.395
 137 | 1.37 165.262
 138 | 1.38 165.098
 139 | 1.39 164.902
 140 | 1.4 164.677
 141 | 1.41 164.426
 142 | 1.42 164.153
 143 | 1.43 163.859
 144 | 1.44 163.549
 145 | 1.45 163.225
 146 | 1.46 162.89
 147 | 1.47 162.55
 148 | 1.48 162.206
 149 | 1.49 161.864
 150 | 1.5 161.525
 151 | 1.51 161.195
 152 | 1.52 160.877
 153 | 1.53 160.575
 154 | 1.54 160.292
 155 | 1.55 160.031
 156 | 1.56 159.795
 157 | 1.57 159.587
 158 | 1.58 159.409
 159 | 1.59 159.263
 160 | 1.6 159.149
 161 | 1.61 159.07
 162 | 1.62 159.026
 163 | 1.63 159.017
 164 | 1.64 159.043
 165 | 1.65 159.105
 166 | 1.66 159.202
 167 | 1.67 159.333
 168 | 1.68 159.496
 169 | 1.69 159.69
 170 | 1.7 159.912
 171 | 1.71 160.161
 172 | 1.72 160.432
 173 | 1.73 160.723
 174 | 1.74 161.031
 175 | 1.75 161.353
 176 | 1.76 161.685
 177 | 1.77 162.023
 178 | 1.78 162.365
 179 | 1.79 162.707
 180 | 1.8 163.045
 181 | 1.81 163.375
 182 | 1.82 163.695
 183 | 1.83 164
 184 | 1.84 164.288
 185 | 1.85 164.555
 186 | 1.86 164.799
 187 | 1.87 165.017
 188 | 1.88 165.207
 189 | 1.89 165.367
 190 | 1.9 165.495
 191 | 1.91 165.591
 192 | 1.92 165.654
 193 | 1.93 165.682
 194 | 1.94 165.676
 195 | 1.95 165.636
 196 | 1.96 165.562
 197 | 1.97 165.455
 198 | 1.98 165.316
 199 | 1.99 165.147
 200 | 2 164.949
 201 | 2.01 164.724
 202 | 2.02 164.475
 203 | 2.03 164.205
 204 | 2.04 163.917
 205 | 2.05 163.612
 206 | 2.06 163.296
 207 | 2.07 162.97
 208 | 2.08 162.637
 209 | 2.09 162.303
 210 | 2.1 161.969
 211 | 2.11 161.639
 212 | 2.12 161.316
 213 | 2.13 161.004
 214 | 2.14 160.705
 215 | 2.15 160.424
 216 | 2.16 160.162
 217 | 2.17 159.923
 218 | 2.18 159.708
 219 | 2.19 159.521
 220 | 2.2 159.362
 221 | 2.21 159.233
 222 | 2.22 159.136
 223 | 2.23 159.071
 224 | 2.24 159.039
 225 | 2.25 159.04
 226 | 2.26 159.075
 227 | 2.27 159.142
 228 | 2.28 159.242
 229 | 2.29 159.374
 230 | 2.3 159.535
 231 | 2.31 159.725
 232 | 2.32 159.942
 233 | 2.33 160.183
 234 | 2.34 160.446
 235 | 2.35 160.729
 236 | 2.36 161.028
 237 | 2.37 161.341
 238 | 2.38 161.664
 239 | 2.39 161.995
 240 | 2.4 162.33
 241 | 2.41 162.666
 242 | 2.42 162.999
 243 | 2.43 163.327
 244 | 2.44 163.645
 245 | 2.45 163.952
 246 | 2.46 164.242
 247 | 2.47 164.515
 248 | 2.48 164.766
 249 | 2.49 164.994
 250 | 2.5 165.196
 251 | 2.51 165.369
 252 | 2.52 165.513
 253 | 2.53 165.626
 254 | 2.54 165.706
 255 | 2.55 165.752
 256 | 2.56 165.765
 257 | 2.57 165.743
 258 | 2.58 165.687
 259 | 2.59 165.597
 260 | 2.6 165.474
 261 | 2.61 165.319
 262 | 2.62 165.133
 263 | 2.63 164.919
 264 | 2.64 164.678
 265 | 2.65 164.412
 266 | 2.66 164.125
 267 | 2.67 163.819
 268 | 2.68 163.497
 269 | 2.69 163.162
 270 | 2.7 162.817
 271 | 2.71 162.467
 272 | 2.72 162.113
 273 | 2.73 161.761
 274 | 2.74 161.413
 275 | 2.75 161.074
 276 | 2.76 160.746
 277 | 2.77 160.432
 278 | 2.78 160.137
 279 | 2.79 159.864
 280 | 2.8 159.615
 281 | 2.81 159.392
 282 | 2.82 159.199
 283 | 2.83 159.038
 284 | 2.84 158.909
 285 | 2.85 158.816
 286 | 2.86 158.758
 287 | 2.87 158.737
 288 | 2.88 158.754
 289 | 2.89 158.807
 290 | 2.9 158.897
 291 | 2.91 159.024
 292 | 2.92 159.185
 293 | 2.93 159.381
 294 | 2.94 159.608
 295 | 2.95 159.864
 296 | 2.96 160.148
 297 | 2.97 160.456
 298 | 2.98 160.785
 299 | 2.99 161.133
 300 | 3 161.494
 301 | 3.01 161.867
 302 | 3.02 162.246
 303 | 3.03 162.629
 304 | 3.04 163.011
 305 | 3.05 163.387
 306 | 3.06 163.755
 307 | 3.07 164.11
 308 | 3.08 164.448
 309 | 3.09 164.766
 310 | 3.1 165.061
 311 | 3.11 165.328
 312 | 3.12 165.565
 313 | 3.13 165.769
 314 | 3.14 165.938
 315 | 3.15 166.071
 316 | 3.16 166.165
 317 | 3.17 166.219
 318 | 3.18 166.232
 319 | 3.19 166.204
 320 | 3.2 166.136
 321 | 3.21 166.027
 322 | 3.22 165.878
 323 | 3.23 165.691
 324 | 3.24 165.468
 325 | 3.25 165.211
 326 | 3.26 164.923
 327 | 3.27 164.605
 328 | 3.28 164.262
 329 | 3.29 163.898
 330 | 3.3 163.515
 331 | 3.31 163.119
 332 | 3.32 162.712
 333 | 3.33 162.3
 334 | 3.34 161.887
 335 | 3.35 161.477
 336 | 3.36 161.075
 337 | 3.37 160.684
 338 | 3.38 160.311
 339 | 3.39 159.957
 340 | 3.4 159.629
 341 | 3.41 159.328
 342 | 3.42 159.058
 343 | 3.43 158.823
 344 | 3.44 158.625
 345 | 3.45 158.467
 346 | 3.46 158.35
 347 | 3.47 158.276
 348 | 3.48 158.245
 349 | 3.49 158.259
 350 | 3.5 158.317
 351 | 3.51 158.419
 352 | 3.52 158.564
 353 | 3.53 158.75
 354 | 3.54 158.976
 355 | 3.55 159.24
 356 | 3.56 159.538
 357 | 3.57 159.867
 358 | 3.58 160.224
 359 | 3.59 160.606
 360 | 3.6 161.007
 361 | 3.61 161.424
 362 | 3.62 161.853
 363 | 3.63 162.287
 364 | 3.64 162.724
 365 | 3.65 163.158
 366 | 3.66 163.584
 367 | 3.67 163.998
 368 | 3.68 164.395
 369 | 3.69 164.77
 370 | 3.7 165.12
 371 | 3.71 165.441
 372 | 3.72 165.728
 373 | 3.73 165.979
 374 | 3.74 166.192
 375 | 3.75 166.362
 376 | 3.76 166.489
 377 | 3.77 166.571
 378 | 3.78 166.608
 379 | 3.79 166.597
 380 | 3.8 166.541
 381 | 3.81 166.438
 382 | 3.82 166.291
 383 | 3.83 166.1
 384 | 3.84 165.869
 385 | 3.85 165.598
 386 | 3.86 165.292
 387 | 3.87 164.953
 388 | 3.88 164.585
 389 | 3.89 164.193
 390 | 3.9 163.78
 391 | 3.91 163.351
 392 | 3.92 162.911
 393 | 3.93 162.464
 394 | 3.94 162.016
 395 | 3.95 161.571
 396 | 3.96 161.135
 397 | 3.97 160.712
 398 | 3.98 160.307
 399 | 3.99 159.924
 400 | 4 159.568
 401 | 4.01 159.242
 402 | 4.02 158.95
 403 | 4.03 158.696
 404 | 4.04 158.482
 405 | 4.05 158.31
 406 | 4.06 158.183
 407 | 4.07 158.102
 408 | 4.08 158.068
 409 | 4.09 158.08
 410 | 4.1 158.14
 411 | 4.11 158.245
 412 | 4.12 158.396
 413 | 4.13 158.59
 414 | 4.14 158.826
 415 | 4.15 159.1
 416 | 4.16 159.41
 417 | 4.17 159.751
 418 | 4.18 160.121
 419 | 4.19 160.516
 420 | 4.2 160.93
 421 | 4.21 161.359
 422 | 4.22 161.799
 423 | 4.23 162.244
 424 | 4.24 162.69
 425 | 4.25 163.132
 426 | 4.26 163.564
 427 | 4.27 163.983
 428 | 4.28 164.383
 429 | 4.29 164.761
 430 | 4.3 165.111
 431 | 4.31 165.431
 432 | 4.32 165.716
 433 | 4.33 165.964
 434 | 4.34 166.171
 435 | 4.35 166.337
 436 | 4.36 166.458
 437 | 4.37 166.534
 438 | 4.38 166.564
 439 | 4.39 166.548
 440 | 4.4 166.486
 441 | 4.41 166.378
 442 | 4.42 166.227
 443 | 4.43 166.033
 444 | 4.44 165.799
 445 | 4.45 165.529
 446 | 4.46 165.224
 447 | 4.47 164.888
 448 | 4.48 164.525
 449 | 4.49 164.139
 450 | 4.5 163.735
 451 | 4.51 163.317
 452 | 4.52 162.889
 453 | 4.53 162.457
 454 | 4.54 162.024
 455 | 4.55 161.597
 456 | 4.56 161.179
 457 | 4.57 160.775
 458 | 4.58 160.389
 459 | 4.59 160.026
 460 | 4.6 159.69
 461 | 4.61 159.384
 462 | 4.62 159.112
 463 | 4.63 158.876
 464 | 4.64 158.678
 465 | 4.65 158.522
 466 | 4.66 158.408
 467 | 4.67 158.337
 468 | 4.68 158.311
 469 | 4.69 158.329
 470 | 4.7 158.391
 471 | 4.71 158.496
 472 | 4.72 158.642
 473 | 4.73 158.829
 474 | 4.74 159.054
 475 | 4.75 159.314
 476 | 4.76 159.606
 477 | 4.77 159.927
 478 | 4.78 160.273
 479 | 4.79 160.641
 480 | 4.8 161.027
 481 | 4.81 161.425
 482 | 4.82 161.832
 483 | 4.83 162.243
 484 | 4.84 162.654
 485 | 4.85 163.059
 486 | 4.86 163.456
 487 | 4.87 163.839
 488 | 4.88 164.205
 489 | 4.89 164.548
 490 | 4.9 164.867
 491 | 4.91 165.157
 492 | 4.92 165.415
 493 | 4.93 165.639
 494 | 4.94 165.826
 495 | 4.95 165.975
 496 | 4.96 166.084
 497 | 4.97 166.151
 498 | 4.98 166.177
 499 | 4.99 166.162
 500 | 5 166.105
 501 | 5.01 166.007
 502 | 5.02 165.87
 503 | 5.03 165.696
 504 | 5.04 165.486
 505 | 5.05 165.243
 506 | 5.06 164.969
 507 | 5.07 164.669
 508 | 5.08 164.344
 509 | 5.09 164
 510 | 5.1 163.639
 511 | 5.11 163.265
 512 | 5.12 162.884
 513 | 5.13 162.498
 514 | 5.14 162.112
 515 | 5.15 161.731
 516 | 5.16 161.358
 517 | 5.17 160.998
 518 | 5.18 160.654
 519 | 5.19 160.33
 520 | 5.2 160.029
 521 | 5.21 159.755
 522 | 5.22 159.51
 523 | 5.23 159.297
 524 | 5.24 159.118
 525 | 5.25 158.975
 526 | 5.26 158.869
 527 | 5.27 158.801
 528 | 5.28 158.772
 529 | 5.29 158.782
 530 | 5.3 158.83
 531 | 5.31 158.917
 532 | 5.32 159.04
 533 | 5.33 159.198
 534 | 5.34 159.39
 535 | 5.35 159.613
 536 | 5.36 159.865
 537 | 5.37 160.142
 538 | 5.38 160.442
 539 | 5.39 160.762
 540 | 5.4 161.097
 541 | 5.41 161.445
 542 | 5.42 161.801
 543 | 5.43 162.161
 544 | 5.44 162.522
 545 | 5.45 162.879
 546 | 5.46 163.229
 547 | 5.47 163.568
 548 | 5.48 163.893
 549 | 5.49 164.2
 550 | 5.5 164.485
 551 | 5.51 164.746
 552 | 5.52 164.98
 553 | 5.53 165.185
 554 | 5.54 165.358
 555 | 5.55 165.499
 556 | 5.56 165.604
 557 | 5.57 165.674
 558 | 5.58 165.708
 559 | 5.59 165.706
 560 | 5.6 165.667
 561 | 5.61 165.593
 562 | 5.62 165.484
 563 | 5.63 165.341
 564 | 5.64 165.167
 565 | 5.65 164.964
 566 | 5.66 164.732
 567 | 5.67 164.477
 568 | 5.68 164.199
 569 | 5.69 163.902
 570 | 5.7 163.59
 571 | 5.71 163.266
 572 | 5.72 162.933
 573 | 5.73 162.596
 574 | 5.74 162.257
 575 | 5.75 161.92
 576 | 5.76 161.59
 577 | 5.77 161.269
 578 | 5.78 160.961
 579 | 5.79 160.669
 580 | 5.8 160.397
 581 | 5.81 160.147
 582 | 5.82 159.922
 583 | 5.83 159.724
 584 | 5.84 159.555
 585 | 5.85 159.418
 586 | 5.86 159.312
 587 | 5.87 159.24
 588 | 5.88 159.202
 589 | 5.89 159.198
 590 | 5.9 159.229
 591 | 5.91 159.293
 592 | 5.92 159.391
 593 | 5.93 159.52
 594 | 5.94 159.679
 595 | 5.95 159.867
 596 | 5.96 160.081
 597 | 5.97 160.319
 598 | 5.98 160.579
 599 | 5.99 160.857
 600 | 6 161.15
 601 | 6.01 161.455
 602 | 6.02 161.769
 603 | 6.03 162.088
 604 | 6.04 162.409
 605 | 6.05 162.729
 606 | 6.06 163.043
 607 | 6.07 163.348
 608 | 6.08 163.642
 609 | 6.09 163.921
 610 | 6.1 164.181
 611 | 6.11 164.421
 612 | 6.12 164.638
 613 | 6.13 164.829
 614 | 6.14 164.992
 615 | 6.15 165.125
 616 | 6.16 165.228
 617 | 6.17 165.3
 618 | 6.18 165.338
 619 | 6.19 165.344
 620 | 6.2 165.318
 621 | 6.21 165.259
 622 | 6.22 165.168
 623 | 6.23 165.047
 624 | 6.24 164.896
 625 | 6.25 164.718
 626 | 6.26 164.515
 627 | 6.27 164.289
 628 | 6.28 164.042
 629 | 6.29 163.778
 630 | 6.3 163.498
 631 | 6.31 163.207
 632 | 6.32 162.908
 633 | 6.33 162.603
 634 | 6.34 162.296
 635 | 6.35 161.991
 636 | 6.36 161.692
 637 | 6.37 161.4
 638 | 6.38 161.12
 639 | 6.39 160.854
 640 | 6.4 160.606
 641 | 6.41 160.377
 642 | 6.42 160.172
 643 | 6.43 159.991
 644 | 6.44 159.836
 645 | 6.45 159.71
 646 | 6.46 159.614
 647 | 6.47 159.548
 648 | 6.48 159.514
 649 | 6.49 159.511
 650 | 6.5 159.54
 651 | 6.51 159.6
 652 | 6.52 159.691
 653 | 6.53 159.81
 654 | 6.54 159.958
 655 | 6.55 160.132
 656 | 6.56 160.33
 657 | 6.57 160.55
 658 | 6.58 160.789
 659 | 6.59 161.045
 660 | 6.6 161.315
 661 | 6.61 161.596
 662 | 6.62 161.884
 663 | 6.63 162.177
 664 | 6.64 162.471
 665 | 6.65 162.762
 666 | 6.66 163.048
 667 | 6.67 163.326
 668 | 6.68 163.592
 669 | 6.69 163.843
 670 | 6.7 164.077
 671 | 6.71 164.29
 672 | 6.72 164.482
 673 | 6.73 164.649
 674 | 6.74 164.79
 675 | 6.75 164.903
 676 | 6.76 164.987
 677 | 6.77 165.041
 678 | 6.78 165.065
 679 | 6.79 165.058
 680 | 6.8 165.021
 681 | 6.81 164.954
 682 | 6.82 164.857
 683 | 6.83 164.733
 684 | 6.84 164.583
 685 | 6.85 164.408
 686 | 6.86 164.21
 687 | 6.87 163.992
 688 | 6.88 163.756
 689 | 6.89 163.505
 690 | 6.9 163.242
 691 | 6.91 162.969
 692 | 6.92 162.691
 693 | 6.93 162.409
 694 | 6.94 162.128
 695 | 6.95 161.85
 696 | 6.96 161.579
 697 | 6.97 161.318
 698 | 6.98 161.069
 699 | 6.99 160.835
 700 | 7 160.62
 701 | 7.01 160.425
 702 | 7.02 160.252
 703 | 7.03 160.104
 704 | 7.04 159.982
 705 | 7.05 159.888
 706 | 7.06 159.821
 707 | 7.07 159.784
 708 | 7.08 159.777
 709 | 7.09 159.798
 710 | 7.1 159.849
 711 | 7.11 159.928
 712 | 7.12 160.035
 713 | 7.13 160.168
 714 | 7.14 160.325
 715 | 7.15 160.505
 716 | 7.16 160.706
 717 | 7.17 160.925
 718 | 7.18 161.159
 719 | 7.19 161.406
 720 | 7.2 161.664
 721 | 7.21 161.928
 722 | 7.22 162.197
 723 | 7.23 162.466
 724 | 7.24 162.733
 725 | 7.25 162.995
 726 | 7.26 163.249
 727 | 7.27 163.492
 728 | 7.28 163.72
 729 | 7.29 163.933
 730 | 7.3 164.126
 731 | 7.31 164.298
 732 | 7.32 164.448
 733 | 7.33 164.573
 734 | 7.34 164.672
 735 | 7.35 164.743
 736 | 7.36 164.788
 737 | 7.37 164.803
 738 | 7.38 164.791
 739 | 7.39 164.751
 740 | 7.4 164.683
 741 | 7.41 164.588
 742 | 7.42 164.468
 743 | 7.43 164.324
 744 | 7.44 164.157
 745 | 7.45 163.97
 746 | 7.46 163.766
 747 | 7.47 163.545
 748 | 7.48 163.312
 749 | 7.49 163.068
 750 | 7.5 162.817
 751 | 7.51 162.562
 752 | 7.52 162.304
 753 | 7.53 162.049
 754 | 7.54 161.798
 755 | 7.55 161.554
 756 | 7.56 161.32
 757 | 7.57 161.099
 758 | 7.58 160.893
 759 | 7.59 160.705
 760 | 7.6 160.537
 761 | 7.61 160.39
 762 | 7.62 160.267
 763 | 7.63 160.169
 764 | 7.64 160.096
 765 | 7.65 160.05
 766 | 7.66 160.031
 767 | 7.67 160.038
 768 | 7.68 160.073
 769 | 7.69 160.134
 770 | 7.7 160.221
 771 | 7.71 160.333
 772 | 7.72 160.467
 773 | 7.73 160.623
 774 | 7.74 160.799
 775 | 7.75 160.993
 776 | 7.76 161.201
 777 | 7.77 161.422
 778 | 7.78 161.654
 779 | 7.79 161.893
 780 | 7.8 162.137
 781 | 7.81 162.382
 782 | 7.82 162.626
 783 | 7.83 162.866
 784 | 7.84 163.1
 785 | 7.85 163.324
 786 | 7.86 163.536
 787 | 7.87 163.734
 788 | 7.88 163.914
 789 | 7.89 164.076
 790 | 7.9 164.218
 791 | 7.91 164.337
 792 | 7.92 164.432
 793 | 7.93 164.503
 794 | 7.94 164.549
 795 | 7.95 164.569
 796 | 7.96 164.563
 797 | 7.97 164.531
 798 | 7.98 164.473
 799 | 7.99 164.391
 800 | 8 164.285
 801 | 8.01 164.158
 802 | 8.02 164.009
 803 | 8.03 163.841
 804 | 8.04 163.657
 805 | 8.05 163.457
 806 | 8.06 163.246
 807 | 8.07 163.024
 808 | 8.08 162.796
 809 | 8.09 162.563
 810 | 8.1 162.328
 811 | 8.11 162.094
 812 | 8.12 161.863
 813 | 8.13 161.639
 814 | 8.14 161.425
 815 | 8.15 161.221
 816 | 8.16 161.032
 817 | 8.17 160.858
 818 | 8.18 160.702
 819 | 8.19 160.567
 820 | 8.2 160.452
 821 | 8.21 160.36
 822 | 8.22 160.292
 823 | 8.23 160.248
 824 | 8.24 160.229
 825 | 8.25 160.235
 826 | 8.26 160.266
 827 | 8.27 160.321
 828 | 8.28 160.4
 829 | 8.29 160.501
 830 | 8.3 160.624
 831 | 8.31 160.768
 832 | 8.32 160.929
 833 | 8.33 161.107
 834 | 8.34 161.299
 835 | 8.35 161.503
 836 | 8.36 161.717
 837 | 8.37 161.937
 838 | 8.38 162.162
 839 | 8.39 162.389
 840 | 8.4 162.615
 841 | 8.41 162.838
 842 | 8.42 163.054
 843 | 8.43 163.262
 844 | 8.44 163.459
 845 | 8.45 163.642
 846 | 8.46 163.81
 847 | 8.47 163.961
 848 | 8.48 164.093
 849 | 8.49 164.204
 850 | 8.5 164.293
 851 | 8.51 164.359
 852 | 8.52 164.402
 853 | 8.53 164.421
 854 | 8.54 164.415
 855 | 8.55 164.385
 856 | 8.56 164.332
 857 | 8.57 164.255
 858 | 8.58 164.157
 859 | 8.59 164.037
 860 | 8.6 163.898
 861 | 8.61 163.741
 862 | 8.62 163.568
 863 | 8.63 163.381
 864 | 8.64 163.182
 865 | 8.65 162.974
 866 | 8.66 162.758
 867 | 8.67 162.539
 868 | 8.68 162.317
 869 | 8.69 162.096
 870 | 8.7 161.878
 871 | 8.71 161.666
 872 | 8.72 161.463
 873 | 8.73 161.27
 874 | 8.74 161.089
 875 | 8.75 160.924
 876 | 8.76 160.776
 877 | 8.77 160.646
 878 | 8.78 160.536
 879 | 8.79 160.447
 880 | 8.8 160.381
 881 | 8.81 160.338
 882 | 8.82 160.318
 883 | 8.83 160.322
 884 | 8.84 160.35
 885 | 8.85 160.401
 886 | 8.86 160.475
 887 | 8.87 160.571
 888 | 8.88 160.688
 889 | 8.89 160.824
 890 | 8.9 160.977
 891 | 8.91 161.147
 892 | 8.92 161.331
 893 | 8.93 161.527
 894 | 8.94 161.732
 895 | 8.95 161.945
 896 | 8.96 162.162
 897 | 8.97 162.381
 898 | 8.98 162.601
 899 | 8.99 162.817
 900 | 9 163.028
 901 | 9.01 163.231
 902 | 9.02 163.424
 903 | 9.03 163.605
 904 | 9.04 163.771
 905 | 9.05 163.921
 906 | 9.06 164.053
 907 | 9.07 164.165
 908 | 9.08 164.256
 909 | 9.09 164.325
 910 | 9.1 164.371
 911 | 9.11 164.394
 912 | 9.12 164.393
 913 | 9.13 164.369
 914 | 9.14 164.321
 915 | 9.15 164.25
 916 | 9.16 164.158
 917 | 9.17 164.044
 918 | 9.18 163.911
 919 | 9.19 163.759
 920 | 9.2 163.592
 921 | 9.21 163.41
 922 | 9.22 163.215
 923 | 9.23 163.011
 924 | 9.24 162.798
 925 | 9.25 162.581
 926 | 9.26 162.36
 927 | 9.27 162.139
 928 | 9.28 161.921
 929 | 9.29 161.707
 930 | 9.3 161.5
 931 | 9.31 161.303
 932 | 9.32 161.118
 933 | 9.33 160.947
 934 | 9.34 160.793
 935 | 9.35 160.655
 936 | 9.36 160.538
 937 | 9.37 160.441
 938 | 9.38 160.366
 939 | 9.39 160.314
 940 | 9.4 160.285
 941 | 9.41 160.28
 942 | 9.42 160.299
 943 | 9.43 160.342
 944 | 9.44 160.408
 945 | 9.45 160.496
 946 | 9.46 160.606
 947 | 9.47 160.736
 948 | 9.48 160.885
 949 | 9.49 161.051
 950 | 9.5 161.233
 951 | 9.51 161.428
 952 | 9.52 161.633
 953 | 9.53 161.848
 954 | 9.54 162.068
 955 | 9.55 162.292
 956 | 9.56 162.518
 957 | 9.57 162.742
 958 | 9.58 162.961
 959 | 9.59 163.175
 960 | 9.6 163.379
 961 | 9.61 163.572
 962 | 9.62 163.752
 963 | 9.63 163.915
 964 | 9.64 164.062
 965 | 9.65 164.189
 966 | 9.66 164.295
 967 | 9.67 164.379
 968 | 9.68 164.44
 969 | 9.69 164.477
 970 | 9.7 164.491
 971 | 9.71 164.479
 972 | 9.72 164.444
 973 | 9.73 164.384
 974 | 9.74 164.301
 975 | 9.75 164.196
 976 | 9.76 164.069
 977 | 9.77 163.923
 978 | 9.78 163.758
 979 | 9.79 163.577
 980 | 9.8 163.381
 981 | 9.81 163.173
 982 | 9.82 162.956
 983 | 9.83 162.731
 984 | 9.84 162.501
 985 | 9.85 162.269
 986 | 9.86 162.037
 987 | 9.87 161.808
 988 | 9.88 161.586
 989 | 9.89 161.371
 990 | 9.9 161.167
 991 | 9.91 160.976
 992 | 9.92 160.8
 993 | 9.93 160.642
 994 | 9.94 160.502
 995 | 9.95 160.384
 996 | 9.96 160.287
 997 | 9.97 160.214
 998 | 9.98 160.165
 999 | 9.99 160.141
1000 | 10 160.142
1001 | 10.01 160.169
1002 | 10.02 160.22
1003 | 10.03 160.296
1004 | 10.04 160.395
1005 | 10.05 160.517
1006 | 10.06 160.66
1007 | 10.07 160.823
1008 | 10.08 161.003
1009 | 10.09 161.2
1010 | 10.1 161.41
1011 | 10.11 161.631
1012 | 10.12 161.862
1013 | 10.13 162.098
1014 | 10.14 162.338
1015 | 10.15 162.579
1016 | 10.16 162.818
1017 | 10.17 163.053
1018 | 10.18 163.28
1019 | 10.19 163.497
1020 | 10.2 163.702
1021 | 10.21 163.892
1022 | 10.22 164.066
1023 | 10.23 164.22
1024 | 10.24 164.353
1025 | 10.25 164.465
1026 | 10.26 164.552
1027 | 10.27 164.615
1028 | 10.28 164.652
1029 | 10.29 164.664
1030 | 10.3 164.649
1031 | 10.31 164.608
1032 | 10.32 164.542
1033 | 10.33 164.45
1034 | 10.34 164.335
1035 | 10.35 164.196
1036 | 10.36 164.037
1037 | 10.37 163.858
1038 | 10.38 163.661
1039 | 10.39 163.449
1040 | 10.4 163.224
1041 | 10.41 162.989
1042 | 10.42 162.745
1043 | 10.43 162.497
1044 | 10.44 162.246
1045 | 10.45 161.996
1046 | 10.46 161.75
1047 | 10.47 161.509
1048 | 10.48 161.277
1049 | 10.49 161.057
1050 | 10.5 160.851
1051 | 10.51 160.661
1052 | 10.52 160.491
1053 | 10.53 160.34
1054 | 10.54 160.212
1055 | 10.55 160.108
1056 | 10.56 160.029
1057 | 10.57 159.977
1058 | 10.58 159.95
1059 | 10.59 159.951
1060 | 10.6 159.98
1061 | 10.61 160.035
1062 | 10.62 160.116
1063 | 10.63 160.223
1064 | 10.64 160.355
1065 | 10.65 160.509
1066 | 10.66 160.685
1067 | 10.67 160.88
1068 | 10.68 161.092
1069 | 10.69 161.319
1070 | 10.7 161.558
1071 | 10.71 161.807
1072 | 10.72 162.063
1073 | 10.73 162.323
1074 | 10.74 162.584
1075 | 10.75 162.842
1076 | 10.76 163.096
1077 | 10.77 163.343
1078 | 10.78 163.579
1079 | 10.79 163.801
1080 | 10.8 164.008
1081 | 10.81 164.197
1082 | 10.82 164.365
1083 | 10.83 164.511
1084 | 10.84 164.634
1085 | 10.85 164.73
1086 | 10.86 164.801
1087 | 10.87 164.843
1088 | 10.88 164.858
1089 | 10.89 164.845
1090 | 10.9 164.803
1091 | 10.91 164.734
1092 | 10.92 164.638
1093 | 10.93 164.516
1094 | 10.94 164.369
1095 | 10.95 164.199
1096 | 10.96 164.008
1097 | 10.97 163.798
1098 | 10.98 163.571
1099 | 10.99 163.329
1100 | 11 163.077
1101 | 11.01 162.815
1102 | 11.02 162.548
1103 | 11.03 162.278
1104 | 11.04 162.008
1105 | 11.05 161.742
1106 | 11.06 161.482
1107 | 11.07 161.231
1108 | 11.08 160.992
1109 | 11.09 160.768
1110 | 11.1 160.561
1111 | 11.11 160.374
1112 | 11.12 160.209
1113 | 11.13 160.068
1114 | 11.14 159.952
1115 | 11.15 159.863
1116 | 11.16 159.802
1117 | 11.17 159.769
1118 | 11.18 159.765
1119 | 11.19 159.791
1120 | 11.2 159.845
1121 | 11.21 159.928
1122 | 11.22 160.038
1123 | 11.23 160.175
1124 | 11.24 160.336
1125 | 11.25 160.52
1126 | 11.26 160.726
1127 | 11.27 160.95
1128 | 11.28 161.19
1129 | 11.29 161.444
1130 | 11.3 161.708
1131 | 11.31 161.981
1132 | 11.32 162.258
1133 | 11.33 162.536
1134 | 11.34 162.814
1135 | 11.35 163.086
1136 | 11.36 163.351
1137 | 11.37 163.605
1138 | 11.38 163.846
1139 | 11.39 164.07
1140 | 11.4 164.275
1141 | 11.41 164.46
1142 | 11.42 164.62
1143 | 11.43 164.756
1144 | 11.44 164.865
1145 | 11.45 164.946
1146 | 11.46 164.998
1147 | 11.47 165.021
1148 | 11.48 165.013
1149 | 11.49 164.976
1150 | 11.5 164.909
1151 | 11.51 164.814
1152 | 11.52 164.691
1153 | 11.53 164.541
1154 | 11.54 164.367
1155 | 11.55 164.169
1156 | 11.56 163.951
1157 | 11.57 163.715
1158 | 11.58 163.463
1159 | 11.59 163.199
1160 | 11.6 162.924
1161 | 11.61 162.643
1162 | 11.62 162.358
1163 | 11.63 162.073
1164 | 11.64 161.79
1165 | 11.65 161.513
1166 | 11.66 161.246
1167 | 11.67 160.99
1168 | 11.68 160.749
1169 | 11.69 160.526
1170 | 11.7 160.323
1171 | 11.71 160.143
1172 | 11.72 159.987
1173 | 11.73 159.857
1174 | 11.74 159.755
1175 | 11.75 159.683
1176 | 11.76 159.64
1177 | 11.77 159.627
1178 | 11.78 159.645
1179 | 11.79 159.693
1180 | 11.8 159.771
1181 | 11.81 159.878
1182 | 11.82 160.013
1183 | 11.83 160.174
1184 | 11.84 160.36
1185 | 11.85 160.568
1186 | 11.86 160.797
1187 | 11.87 161.043
1188 | 11.88 161.304
1189 | 11.89 161.578
1190 | 11.9 161.86
1191 | 11.91 162.148
1192 | 11.92 162.439
1193 | 11.93 162.729
1194 | 11.94 163.015
1195 | 11.95 163.295
1196 | 11.96 163.564
1197 | 11.97 163.819
1198 | 11.98 164.059
1199 | 11.99 164.28
1200 | 12 164.479
1201 | 12.01 164.655
1202 | 12.02 164.806
1203 | 12.03 164.929
1204 | 12.04 165.023
1205 | 12.05 165.088
1206 | 12.06 165.123
1207 | 12.07 165.126
1208 | 12.08 165.099
1209 | 12.09 165.04
1210 | 12.1 164.952
1211 | 12.11 164.835
1212 | 12.12 164.69
1213 | 12.13 164.519
1214 | 12.14 164.323
1215 | 12.15 164.105
1216 | 12.16 163.868
1217 | 12.17 163.613
1218 | 12.18 163.344
1219 | 12.19 163.064
1220 | 12.2 162.776
1221 | 12.21 162.483
1222 | 12.22 162.189
1223 | 12.23 161.895
1224 | 12.24 161.607
1225 | 12.25 161.327
1226 | 12.26 161.059
1227 | 12.27 160.804
1228 | 12.28 160.567
1229 | 12.29 160.349
1230 | 12.3 160.154
1231 | 12.31 159.983
1232 | 12.32 159.838
1233 | 12.33 159.722
1234 | 12.34 159.634
1235 | 12.35 159.577
1236 | 12.36 159.551
1237 | 12.37 159.556
1238 | 12.38 159.592
1239 | 12.39 159.659
1240 | 12.4 159.757
1241 | 12.41 159.883
1242 | 12.42 160.037
1243 | 12.43 160.216
1244 | 12.44 160.42
1245 | 12.45 160.645
1246 | 12.46 160.89
1247 | 12.47 161.151
1248 | 12.48 161.425
1249 | 12.49 161.71
1250 | 12.5 162.002
1251 | 12.51 162.299
1252 | 12.52 162.596
1253 | 12.53 162.89
1254 | 12.54 163.179
1255 | 12.55 163.459
1256 | 12.56 163.726
1257 | 12.57 163.979
1258 | 12.58 164.213
1259 | 12.59 164.427
1260 | 12.6 164.617
1261 | 12.61 164.783
1262 | 12.62 164.922
1263 | 12.63 165.032
1264 | 12.64 165.112
1265 | 12.65 165.162
1266 | 12.66 165.18
1267 | 12.67 165.167
1268 | 12.68 165.123
1269 | 12.69 165.048
1270 | 12.7 164.943
1271 | 12.71 164.809
1272 | 12.72 164.647
1273 | 12.73 164.46
1274 | 12.74 164.25
1275 | 12.75 164.018
1276 | 12.76 163.768
1277 | 12.77 163.502
1278 | 12.78 163.223
1279 | 12.79 162.935
1280 | 12.8 162.64
1281 | 12.81 162.342
1282 | 12.82 162.043
1283 | 12.83 161.749
1284 | 12.84 161.46
1285 | 12.85 161.182
1286 | 12.86 160.917
1287 | 12.87 160.668
1288 | 12.88 160.437
1289 | 12.89 160.228
1290 | 12.9 160.042
1291 | 12.91 159.882
1292 | 12.92 159.75
1293 | 12.93 159.646
1294 | 12.94 159.573
1295 | 12.95 159.53
1296 | 12.96 159.519
1297 | 12.97 159.54
1298 | 12.98 159.591
1299 | 12.99 159.674
1300 | 13 159.786
1301 | 13.01 159.927
1302 | 13.02 160.095
1303 | 13.03 160.288
1304 | 13.04 160.504
1305 | 13.05 160.741
1306 | 13.06 160.996
1307 | 13.07 161.266
1308 | 13.08 161.548
1309 | 13.09 161.839
1310 | 13.1 162.135
1311 | 13.11 162.435
1312 | 13.12 162.733
1313 | 13.13 163.027
1314 | 13.14 163.314
1315 | 13.15 163.59
1316 | 13.16 163.852
1317 | 13.17 164.098
1318 | 13.18 164.324
1319 | 13.19 164.528
1320 | 13.2 164.709
1321 | 13.21 164.863
1322 | 13.22 164.989
1323 | 13.23 165.085
1324 | 13.24 165.152
1325 | 13.25 165.187
1326 | 13.26 165.191
1327 | 13.27 165.163
1328 | 13.28 165.104
1329 | 13.29 165.015
1330 | 13.3 164.895
1331 | 13.31 164.748
1332 | 13.32 164.574
1333 | 13.33 164.375
1334 | 13.34 164.153
1335 | 13.35 163.912
1336 | 13.36 163.654
1337 | 13.37 163.381
1338 | 13.38 163.096
1339 | 13.39 162.804
1340 | 13.4 162.506
1341 | 13.41 162.207
1342 | 13.42 161.909
1343 | 13.43 161.616
1344 | 13.44 161.332
1345 | 13.45 161.059
1346 | 13.46 160.8
1347 | 13.47 160.559
1348 | 13.48 160.338
1349 | 13.49 160.139
1350 | 13.5 159.965
1351 | 13.51 159.818
1352 | 13.52 159.699
1353 | 13.53 159.609
1354 | 13.54 159.55
1355 | 13.55 159.522
1356 | 13.56 159.526
1357 | 13.57 159.561
1358 | 13.58 159.627
1359 | 13.59 159.724
1360 | 13.6 159.85
1361 | 13.61 160.004
1362 | 13.62 160.184
1363 | 13.63 160.388
1364 | 13.64 160.614
1365 | 13.65 160.859
1366 | 13.66 161.121
1367 | 13.67 161.397
1368 | 13.68 161.683
1369 | 13.69 161.977
1370 | 13.7 162.274
1371 | 13.71 162.573
1372 | 13.72 162.869
1373 | 13.73 163.16
1374 | 13.74 163.441
1375 | 13.75 163.71
1376 | 13.76 163.964
1377 | 13.77 164.2
1378 | 13.78 164.416
1379 | 13.79 164.608
1380 | 13.8 164.775
1381 | 13.81 164.915
1382 | 13.82 165.027
1383 | 13.83 165.109
1384 | 13.84 165.16
1385 | 13.85 165.18
1386 | 13.86 165.168
1387 | 13.87 165.125
1388 | 13.88 165.051
1389 | 13.89 164.947
1390 | 13.9 164.814
1391 | 13.91 164.654
1392 | 13.92 164.468
1393 | 13.93 164.259
1394 | 13.94 164.028
1395 | 13.95 163.779
1396 | 13.96 163.514
1397 | 13.97 163.236
1398 | 13.98 162.949
1399 | 13.99 162.655
1400 | 14 162.357
1401 | 14.01 162.06
1402 | 14.02 161.766
1403 | 14.03 161.479
1404 | 14.04 161.202
1405 | 14.05 160.937
1406 | 14.06 160.689
1407 | 14.07 160.459
1408 | 14.08 160.251
1409 | 14.09 160.066
1410 | 14.1 159.906
1411 | 14.11 159.774
1412 | 14.12 159.671
1413 | 14.13 159.598
1414 | 14.14 159.556
1415 | 14.15 159.545
1416 | 14.16 159.565
1417 | 14.17 159.617
1418 | 14.18 159.699
1419 | 14.19 159.81
1420 | 14.2 159.95
1421 | 14.21 160.117
1422 | 14.22 160.309
1423 | 14.23 160.523
1424 | 14.24 160.758
1425 | 14.25 161.011
1426 | 14.26 161.278
1427 | 14.27 161.558
1428 | 14.28 161.846
1429 | 14.29 162.14
1430 | 14.3 162.436
1431 | 14.31 162.731
1432 | 14.32 163.021
1433 | 14.33 163.304
1434 | 14.34 163.577
1435 | 14.35 163.835
1436 | 14.36 164.077
1437 | 14.37 164.299
1438 | 14.38 164.5
1439 | 14.39 164.676
1440 | 14.4 164.827
1441 | 14.41 164.95
1442 | 14.42 165.043
1443 | 14.43 165.107
1444 | 14.44 165.139
1445 | 14.45 165.141
1446 | 14.46 165.111
1447 | 14.47 165.051
1448 | 14.48 164.96
1449 | 14.49 164.841
1450 | 14.5 164.693
1451 | 14.51 164.52
1452 | 14.52 164.322
1453 | 14.53 164.102
1454 | 14.54 163.863
1455 | 14.55 163.608
1456 | 14.56 163.338
1457 | 14.57 163.057
1458 | 14.58 162.769
1459 | 14.59 162.477
1460 | 14.6 162.183
1461 | 14.61 161.891
1462 | 14.62 161.605
1463 | 14.63 161.327
1464 | 14.64 161.061
1465 | 14.65 160.809
1466 | 14.66 160.575
1467 | 14.67 160.361
1468 | 14.68 160.17
1469 | 14.69 160.003
1470 | 14.7 159.862
1471 | 14.71 159.75
1472 | 14.72 159.667
1473 | 14.73 159.614
1474 | 14.74 159.591
1475 | 14.75 159.6
1476 | 14.76 159.64
1477 | 14.77 159.71
1478 | 14.78 159.809
1479 | 14.79 159.937
1480 | 14.8 160.092
1481 | 14.81 160.272
1482 | 14.82 160.476
1483 | 14.83 160.7
1484 | 14.84 160.943
1485 | 14.85 161.202
1486 | 14.86 161.473
1487 | 14.87 161.754
1488 | 14.88 162.041
1489 | 14.89 162.332
1490 | 14.9 162.623
1491 | 14.91 162.91
1492 | 14.92 163.192
1493 | 14.93 163.463
1494 | 14.94 163.722
1495 | 14.95 163.966
1496 | 14.96 164.191
1497 | 14.97 164.396
1498 | 14.98 164.577
1499 | 14.99 164.733
1500 | 15 164.863
1501 | 15.01 164.964
1502 | 15.02 165.036
1503 | 15.03 165.078
1504 | 15.04 165.089
1505 | 15.05 165.07
1506 | 15.06 165.02
1507 | 15.07 164.94
1508 | 15.08 164.831
1509 | 15.09 164.694
1510 | 15.1 164.532
1511 | 15.11 164.345
1512 | 15.12 164.135
1513 | 15.13 163.906
1514 | 15.14 163.66
1515 | 15.15 163.399
1516 | 15.16 163.127
1517 | 15.17 162.846
1518 | 15.18 162.56
1519 | 15.19 162.272
1520 | 15.2 161.985
1521 | 15.21 161.702
1522 | 15.22 161.427
1523 | 15.23 161.162
1524 | 15.24 160.912
1525 | 15.25 160.677
1526 | 15.26 160.462
1527 | 15.27 160.268
1528 | 15.28 160.098
1529 | 15.29 159.953
1530 | 15.3 159.835
1531 | 15.31 159.746
1532 | 15.32 159.686
1533 | 15.33 159.656
1534 | 15.34 159.657
1535 | 15.35 159.687
1536 | 15.36 159.748
1537 | 15.37 159.838
1538 | 15.38 159.957
1539 | 15.39 160.102
1540 | 15.4 160.272
1541 | 15.41 160.466
1542 | 15.42 160.681
1543 | 15.43 160.914
1544 | 15.44 161.163
1545 | 15.45 161.426
1546 | 15.46 161.699
1547 | 15.47 161.979
1548 | 15.48 162.263
1549 | 15.49 162.548
1550 | 15.5 162.83
1551 | 15.51 163.107
1552 | 15.52 163.375
1553 | 15.53 163.632
1554 | 15.54 163.874
1555 | 15.55 164.098
1556 | 15.56 164.303
1557 | 15.57 164.486
1558 | 15.58 164.644
1559 | 15.59 164.777
1560 | 15.6 164.882
1561 | 15.61 164.959
1562 | 15.62 165.006
1563 | 15.63 165.024
1564 | 15.64 165.011
1565 | 15.65 164.968
1566 | 15.66 164.896
1567 | 15.67 164.796
1568 | 15.68 164.668
1569 | 15.69 164.514
1570 | 15.7 164.336
1571 | 15.71 164.136
1572 | 15.72 163.916
1573 | 15.73 163.679
1574 | 15.74 163.426
1575 | 15.75 163.162
1576 | 15.76 162.889
1577 | 15.77 162.611
1578 | 15.78 162.329
1579 | 15.79 162.048
1580 | 15.8 161.771
1581 | 15.81 161.501
1582 | 15.82 161.24
1583 | 15.83 160.992
1584 | 15.84 160.76
1585 | 15.85 160.546
1586 | 15.86 160.352
1587 | 15.87 160.182
1588 | 15.88 160.036
1589 | 15.89 159.916
1590 | 15.9 159.823
1591 | 15.91 159.76
1592 | 15.92 159.725
1593 | 15.93 159.72
1594 | 15.94 159.745
1595 | 15.95 159.8
1596 | 15.96 159.883
1597 | 15.97 159.994
1598 | 15.98 160.131
1599 | 15.99 160.294
1600 | 16 160.479
1601 | 16.01 160.686
1602 | 16.02 160.911
1603 | 16.03 161.152
1604 | 16.04 161.407
1605 | 16.05 161.672
1606 | 16.06 161.944
1607 | 16.07 162.221
1608 | 16.08 162.5
1609 | 16.09 162.776
1610 | 16.1 163.048
1611 | 16.11 163.311
1612 | 16.12 163.564
1613 | 16.13 163.802
1614 | 16.14 164.024
1615 | 16.15 164.228
1616 | 16.16 164.409
1617 | 16.17 164.568
1618 | 16.18 164.701
1619 | 16.19 164.808
1620 | 16.2 164.887
1621 | 16.21 164.938
1622 | 16.22 164.959
1623 | 16.23 164.951
1624 | 16.24 164.914
1625 | 16.25 164.847
1626 | 16.26 164.753
1627 | 16.27 164.632
1628 | 16.28 164.485
1629 | 16.29 164.314
1630 | 16.3 164.121
1631 | 16.31 163.908
1632 | 16.32 163.678
1633 | 16.33 163.433
1634 | 16.34 163.176
1635 | 16.35 162.91
1636 | 16.36 162.638
1637 | 16.37 162.363
1638 | 16.38 162.089
1639 | 16.39 161.817
1640 | 16.4 161.551
1641 | 16.41 161.295
1642 | 16.42 161.051
1643 | 16.43 160.822
1644 | 16.44 160.61
1645 | 16.45 160.419
1646 | 16.46 160.249
1647 | 16.47 160.103
1648 | 16.48 159.982
1649 | 16.49 159.889
1650 | 16.5 159.823
1651 | 16.51 159.786
1652 | 16.52 159.778
1653 | 16.53 159.799
1654 | 16.54 159.849
1655 | 16.55 159.927
1656 | 16.56 160.033
1657 | 16.57 160.165
1658 | 16.58 160.321
1659 | 16.59 160.5
1660 | 16.6 160.701
1661 | 16.61 160.919
1662 | 16.62 161.154
1663 | 16.63 161.402
1664 | 16.64 161.661
1665 | 16.65 161.927
1666 | 16.66 162.198
1667 | 16.67 162.471
1668 | 16.68 162.742
1669 | 16.69 163.009
1670 | 16.7 163.268
1671 | 16.71 163.517
1672 | 16.72 163.753
1673 | 16.73 163.972
1674 | 16.74 164.173
1675 | 16.75 164.353
1676 | 16.76 164.511
1677 | 16.77 164.644
1678 | 16.78 164.752
1679 | 16.79 164.832
1680 | 16.8 164.884
1681 | 16.81 164.907
1682 | 16.82 164.902
1683 | 16.83 164.868
1684 | 16.84 164.805
1685 | 16.85 164.715
1686 | 16.86 164.598
1687 | 16.87 164.456
1688 | 16.88 164.29
1689 | 16.89 164.102
1690 | 16.9 163.895
1691 | 16.91 163.67
1692 | 16.92 163.431
1693 | 16.93 163.179
1694 | 16.94 162.919
1695 | 16.95 162.652
1696 | 16.96 162.382
1697 | 16.97 162.111
1698 | 16.98 161.844
1699 | 16.99 161.582
1700 | 17 161.33
1701 | 17.01 161.089
1702 | 17.02 160.862
1703 | 17.03 160.652
1704 | 17.04 160.462
1705 | 17.05 160.293
1706 | 17.06 160.148
1707 | 17.07 160.027
1708 | 17.08 159.933
1709 | 17.09 159.867
1710 | 17.1 159.828
1711 | 17.11 159.819
1712 | 17.12 159.837
1713 | 17.13 159.885
1714 | 17.14 159.96
1715 | 17.15 160.062
1716 | 17.16 160.19
1717 | 17.17 160.343
1718 | 17.18 160.518
1719 | 17.19 160.714
1720 | 17.2 160.929
1721 | 17.21 161.159
1722 | 17.22 161.403
1723 | 17.23 161.658
1724 | 17.24 161.921
1725 | 17.25 162.188
1726 | 17.26 162.457
1727 | 17.27 162.725
1728 | 17.28 162.989
1729 | 17.29 163.245
1730 | 17.3 163.491
1731 | 17.31 163.724
1732 | 17.32 163.942
1733 | 17.33 164.142
1734 | 17.34 164.321
1735 | 17.35 164.479
1736 | 17.36 164.612
1737 | 17.37 164.719
1738 | 17.38 164.8
1739 | 17.39 164.853
1740 | 17.4 164.878
1741 | 17.41 164.874
1742 | 17.42 164.841
1743 | 17.43 164.781
1744 | 17.44 164.693
1745 | 17.45 164.579
1746 | 17.46 164.439
1747 | 17.47 164.276
1748 | 17.48 164.091
1749 | 17.49 163.887
1750 | 17.5 163.665
1751 | 17.51 163.429
1752 | 17.52 163.18
1753 | 17.53 162.922
1754 | 17.54 162.658
1755 | 17.55 162.391
1756 | 17.56 162.123
1757 | 17.57 161.857
1758 | 17.58 161.598
1759 | 17.59 161.347
1760 | 17.6 161.107
1761 | 17.61 160.882
1762 | 17.62 160.673
1763 | 17.63 160.483
1764 | 17.64 160.315
1765 | 17.65 160.169
1766 | 17.66 160.049
1767 | 17.67 159.954
1768 | 17.68 159.887
1769 | 17.69 159.848
1770 | 17.7 159.837
1771 | 17.71 159.854
1772 | 17.72 159.9
1773 | 17.73 159.974
1774 | 17.74 160.074
1775 | 17.75 160.201
1776 | 17.76 160.351
1777 | 17.77 160.525
1778 | 17.78 160.719
1779 | 17.79 160.931
1780 | 17.8 161.16
1781 | 17.81 161.402
1782 | 17.82 161.655
1783 | 17.83 161.916
1784 | 17.84 162.182
1785 | 17.85 162.45
1786 | 17.86 162.717
1787 | 17.87 162.979
1788 | 17.88 163.235
1789 | 17.89 163.48
1790 | 17.9 163.713
1791 | 17.91 163.93
1792 | 17.92 164.13
1793 | 17.93 164.309
1794 | 17.94 164.467
1795 | 17.95 164.6
1796 | 17.96 164.708
1797 | 17.97 164.789
1798 | 17.98 164.843
1799 | 17.99 164.869
1800 | 18 164.866
1801 | 18.01 164.835
1802 | 18.02 164.775
1803 | 18.03 164.689
1804 | 18.04 164.575
1805 | 18.05 164.437
1806 | 18.06 164.275
1807 | 18.07 164.091
1808 | 18.08 163.888
1809 | 18.09 163.667
1810 | 18.1 163.432
1811 | 18.11 163.184
1812 | 18.12 162.927
1813 | 18.13 162.663
1814 | 18.14 162.396
1815 | 18.15 162.128
1816 | 18.16 161.863
1817 | 18.17 161.604
1818 | 18.18 161.353
1819 | 18.19 161.113
1820 | 18.2 160.887
1821 | 18.21 160.678
1822 | 18.22 160.488
1823 | 18.23 160.319
1824 | 18.24 160.173
1825 | 18.25 160.051
1826 | 18.26 159.956
1827 | 18.27 159.888
1828 | 18.28 159.848
1829 | 18.29 159.836
1830 | 18.3 159.852
1831 | 18.31 159.897
1832 | 18.32 159.97
1833 | 18.33 160.07
1834 | 18.34 160.196
1835 | 18.35 160.346
1836 | 18.36 160.519
1837 | 18.37 160.712
1838 | 18.38 160.924
1839 | 18.39 161.153
1840 | 18.4 161.395
1841 | 18.41 161.648
1842 | 18.42 161.909
1843 | 18.43 162.175
1844 | 18.44 162.443
1845 | 18.45 162.711
1846 | 18.46 162.974
1847 | 18.47 163.23
1848 | 18.48 163.477
1849 | 18.49 163.71
1850 | 18.5 163.929
1851 | 18.51 164.13
1852 | 18.52 164.31
1853 | 18.53 164.469
1854 | 18.54 164.603
1855 | 18.55 164.713
1856 | 18.56 164.795
1857 | 18.57 164.85
1858 | 18.58 164.877
1859 | 18.59 164.875
1860 | 18.6 164.845
1861 | 18.61 164.786
1862 | 18.62 164.7
1863 | 18.63 164.588
1864 | 18.64 164.45
1865 | 18.65 164.288
1866 | 18.66 164.105
1867 | 18.67 163.901
1868 | 18.68 163.68
1869 | 18.69 163.445
1870 | 18.7 163.196
1871 | 18.71 162.938
1872 | 18.72 162.674
1873 | 18.73 162.406
1874 | 18.74 162.137
1875 | 18.75 161.87
1876 | 18.76 161.61
1877 | 18.77 161.357
1878 | 18.78 161.116
1879 | 18.79 160.888
1880 | 18.8 160.677
1881 | 18.81 160.485
1882 | 18.82 160.314
1883 | 18.83 160.167
1884 | 18.84 160.043
1885 | 18.85 159.946
1886 | 18.86 159.877
1887 | 18.87 159.835
1888 | 18.88 159.822
1889 | 18.89 159.837
1890 | 18.9 159.881
1891 | 18.91 159.952
1892 | 18.92 160.051
1893 | 18.93 160.176
1894 | 18.94 160.326
1895 | 18.95 160.499
1896 | 18.96 160.692
1897 | 18.97 160.905
1898 | 18.98 161.134
1899 | 18.99 161.377
1900 | 19 161.631
1901 | 19.01 161.893
1902 | 19.02 162.161
1903 | 19.03 162.43
1904 | 19.04 162.699
1905 | 19.05 162.965
1906 | 19.06 163.223
1907 | 19.07 163.472
1908 | 19.08 163.708
1909 | 19.09 163.929
1910 | 19.1 164.132
1911 | 19.11 164.315
1912 | 19.12 164.476
1913 | 19.13 164.613
1914 | 19.14 164.725
1915 | 19.15 164.81
1916 | 19.16 164.867
1917 | 19.17 164.895
1918 | 19.18 164.895
1919 | 19.19 164.867
1920 | 19.2 164.81
1921 | 19.21 164.725
1922 | 19.22 164.613
1923 | 19.23 164.476
1924 | 19.24 164.315
1925 | 19.25 164.131
1926 | 19.26 163.928
1927 | 19.27 163.707
1928 | 19.28 163.47
1929 | 19.29 163.22
1930 | 19.3 162.961
1931 | 19.31 162.695
1932 | 19.32 162.425
1933 | 19.33 162.154
1934 | 19.34 161.885
1935 | 19.35 161.622
1936 | 19.36 161.366
1937 | 19.37 161.122
1938 | 19.38 160.892
1939 | 19.39 160.678
1940 | 19.4 160.483
1941 | 19.41 160.309
1942 | 19.42 160.158
1943 | 19.43 160.032
1944 | 19.44 159.932
1945 | 19.45 159.859
1946 | 19.46 159.814
1947 | 19.47 159.799
1948 | 19.48 159.812
1949 | 19.49 159.853
1950 | 19.5 159.923
1951 | 19.51 160.021
1952 | 19.52 160.145
1953 | 19.53 160.294
1954 | 19.54 160.466
1955 | 19.55 160.659
1956 | 19.56 160.872
1957 | 19.57 161.102
1958 | 19.58 161.345
1959 | 19.59 161.601
1960 | 19.6 161.864
1961 | 19.61 162.134
1962 | 19.62 162.406
1963 | 19.63 162.677
1964 | 19.64 162.945
1965 | 19.65 163.207
1966 | 19.66 163.459
1967 | 19.67 163.698
1968 | 19.68 163.923
1969 | 19.69 164.13
1970 | 19.7 164.316
1971 | 19.71 164.481
1972 | 19.72 164.622
1973 | 19.73 164.737
1974 | 19.74 164.826
1975 | 19.75 164.886
1976 | 19.76 164.918
1977 | 19.77 164.921
1978 | 19.78 164.896
1979 | 19.79 164.841
1980 | 19.8 164.759
1981 | 19.81 164.649
1982 | 19.82 164.513
1983 | 19.83 164.353
1984 | 19.84 164.171
1985 | 19.85 163.967
1986 | 19.86 163.746
1987 | 19.87 163.509
1988 | 19.88 163.258
1989 | 19.89 162.998
1990 | 19.9 162.73
1991 | 19.91 162.458
1992 | 19.92 162.184
1993 | 19.93 161.913
1994 | 19.94 161.646
1995 | 19.95 161.387
1996 | 19.96 161.139
1997 | 19.97 160.905
1998 | 19.98 160.687
1999 | 19.99 160.487
2000 | 20 160.309
2001 | 20.01 160.154
2002 | 20.02 160.023
2003 | 20.03 159.919
2004 | 20.04 159.842
2005 | 20.05 159.793
2006 | 20.06 159.773
2007 | 20.07 159.783
2008 | 20.08 159.821
2009 | 20.09 159.888
2010 | 20.1 159.983
2011 | 20.11 160.104
2012 | 20.12 160.251
2013 | 20.13 160.422
2014 | 20.14 160.614
2015 | 20.15 160.826
2016 | 20.16 161.056
2017 | 20.17 161.3
2018 | 20.18 161.556
2019 | 20.19 161.822
2020 | 20.2 162.093
2021 | 20.21 162.367
2022 | 20.22 162.642
2023 | 20.23 162.913
2024 | 20.24 163.178
2025 | 20.25 163.434
2026 | 20.26 163.677
2027 | 20.27 163.906
2028 | 20.28 164.118
2029 | 20.29 164.309
2030 | 20.3 164.479
2031 | 20.31 164.625
2032 | 20.32 164.745
2033 | 20.33 164.838
2034 | 20.34 164.904
2035 | 20.35 164.941
2036 | 20.36 164.948
2037 | 20.37 164.927
2038 | 20.38 164.876
2039 | 20.39 164.797
2040 | 20.4 164.69
2041 | 20.41 164.558
2042 | 20.42 164.4
2043 | 20.43 164.219
2044 | 20.44 164.017
2045 | 20.45 163.796
2046 | 20.46 163.559
2047 | 20.47 163.309
2048 | 20.48 163.047
2049 | 20.49 162.778
2050 | 20.5 162.504
2051 | 20.51 162.228
2052 | 20.52 161.953
2053 | 20.53 161.683
2054 | 20.54 161.42
2055 | 20.55 161.168
2056 | 20.56 160.929
2057 | 20.57 160.706
2058 | 20.58 160.502
2059 | 20.59 160.318
2060 | 20.6 160.157
2061 | 20.61 160.021
2062 | 20.62 159.911
2063 | 20.63 159.829
2064 | 20.64 159.775
2065 | 20.65 159.75
2066 | 20.66 159.754
2067 | 20.67 159.788
2068 | 20.68 159.851
2069 | 20.69 159.941
2070 | 20.7 160.059
2071 | 20.71 160.203
2072 | 20.72 160.371
2073 | 20.73 160.562
2074 | 20.74 160.772
2075 | 20.75 161.001
2076 | 20.76 161.245
2077 | 20.77 161.501
2078 | 20.78 161.767
2079 | 20.79 162.04
2080 | 20.8 162.316
2081 | 20.81 162.593
2082 | 20.82 162.868
2083 | 20.83 163.136
2084 | 20.84 163.396
2085 | 20.85 163.644
2086 | 20.86 163.878
2087 | 20.87 164.095
2088 | 20.88 164.292
2089 | 20.89 164.468
2090 | 20.9 164.619
2091 | 20.91 164.746
2092 | 20.92 164.845
2093 | 20.93 164.916
2094 | 20.94 164.959
2095 | 20.95 164.972
2096 | 20.96 164.956
2097 | 20.97 164.911
2098 | 20.98 164.836
2099 | 20.99 164.734
2100 | 21 164.605
2101 | 21.01 164.451
2102 | 21.02 164.273
2103 | 21.03 164.073
2104 | 21.04 163.854
2105 | 21.05 163.618
2106 | 21.06 163.368
2107 | 21.07 163.106
2108 | 21.08 162.836
2109 | 21.09 162.561
2110 | 21.1 162.282
2111 | 21.11 162.005
2112 | 21.12 161.732
2113 | 21.13 161.465
2114 | 21.14 161.209
2115 | 21.15 160.965
2116 | 21.16 160.737
2117 | 21.17 160.527
2118 | 21.18 160.337
2119 | 21.19 160.17
2120 | 21.2 160.028
2121 | 21.21 159.912
2122 | 21.22 159.823
2123 | 21.23 159.763
2124 | 21.24 159.732
2125 | 21.25 159.73
2126 | 21.26 159.758
2127 | 21.27 159.815
2128 | 21.28 159.901
2129 | 21.29 160.014
2130 | 21.3 160.154
2131 | 21.31 160.318
2132 | 21.32 160.506
2133 | 21.33 160.714
2134 | 21.34 160.941
2135 | 21.35 161.183
2136 | 21.36 161.439
2137 | 21.37 161.705
2138 | 21.38 161.979
2139 | 21.39 162.257
2140 | 21.4 162.536
2141 | 21.41 162.813
2142 | 21.42 163.085
2143 | 21.43 163.349
2144 | 21.44 163.601
2145 | 21.45 163.84
2146 | 21.46 164.062
2147 | 21.47 164.265
2148 | 21.48 164.447
2149 | 21.49 164.605
2150 | 21.5 164.737
2151 | 21.51 164.843
2152 | 21.52 164.921
2153 | 21.53 164.97
2154 | 21.54 164.99
2155 | 21.55 164.98
2156 | 21.56 164.941
2157 | 21.57 164.872
2158 | 21.58 164.775
2159 | 21.59 164.651
2160 | 21.6 164.501
2161 | 21.61 164.327
2162 | 21.62 164.13
2163 | 21.63 163.914
2164 | 21.64 163.68
2165 | 21.65 163.431
2166 | 21.66 163.17
2167 | 21.67 162.9
2168 | 21.68 162.624
2169 | 21.69 162.344
2170 | 21.7 162.065
2171 | 21.71 161.788
2172 | 21.72 161.519
2173 | 21.73 161.258
2174 | 21.74 161.01
2175 | 21.75 160.777
2176 | 21.76 160.561
2177 | 21.77 160.366
2178 | 21.78 160.193
2179 | 21.79 160.044
2180 | 21.8 159.921
2181 | 21.81 159.826
2182 | 21.82 159.759
2183 | 21.83 159.721
2184 | 21.84 159.713
2185 | 21.85 159.735
2186 | 21.86 159.786
2187 | 21.87 159.865
2188 | 21.88 159.973
2189 | 21.89 160.108
2190 | 21.9 160.268
2191 | 21.91 160.451
2192 | 21.92 160.656
2193 | 21.93 160.88
2194 | 21.94 161.12
2195 | 21.95 161.375
2196 | 21.96 161.64
2197 | 21.97 161.914
2198 | 21.98 162.193
2199 | 21.99 162.473
2200 | 22 162.752
2201 | 22.01 163.027
2202 | 22.02 163.294
2203 | 22.03 163.551
2204 | 22.04 163.794
2205 | 22.05 164.021
2206 | 22.06 164.229
2207 | 22.07 164.416
2208 | 22.08 164.581
2209 | 22.09 164.72
2210 | 22.1 164.832
2211 | 22.11 164.917
2212 | 22.12 164.973
2213 | 22.13 164.999
2214 | 22.14 164.996
2215 | 22.15 164.963
2216 | 22.16 164.901
2217 | 22.17 164.81
2218 | 22.18 164.691
2219 | 22.19 164.546
2220 | 22.2 164.377
2221 | 22.21 164.185
2222 | 22.22 163.972
2223 | 22.23 163.741
2224 | 22.24 163.494
2225 | 22.25 163.235
2226 | 22.26 162.965
2227 | 22.27 162.689
2228 | 22.28 162.409
2229 | 22.29 162.128
2230 | 22.3 161.85
2231 | 22.31 161.578
2232 | 22.32 161.314
2233 | 22.33 161.062
2234 | 22.34 160.824
2235 | 22.35 160.604
2236 | 22.36 160.403
2237 | 22.37 160.225
2238 | 22.38 160.07
2239 | 22.39 159.941
2240 | 22.4 159.838
2241 | 22.41 159.765
2242 | 22.42 159.72
2243 | 22.43 159.705
2244 | 22.44 159.72
2245 | 22.45 159.764
2246 | 22.46 159.838
2247 | 22.47 159.939
2248 | 22.48 160.068
2249 | 22.49 160.223
2250 | 22.5 160.402
2251 | 22.51 160.602
2252 | 22.52 160.823
2253 | 22.53 161.06
2254 | 22.54 161.312
2255 | 22.55 161.576
2256 | 22.56 161.849
2257 | 22.57 162.127
2258 | 22.58 162.408
2259 | 22.59 162.688
2260 | 22.6 162.965
2261 | 22.61 163.234
2262 | 22.62 163.494
2263 | 22.63 163.741
2264 | 22.64 163.973
2265 | 22.65 164.186
2266 | 22.66 164.379
2267 | 22.67 164.548
2268 | 22.68 164.694
2269 | 22.69 164.813
2270 | 22.7 164.904
2271 | 22.71 164.967
2272 | 22.72 165
2273 | 22.73 165.003
2274 | 22.74 164.977
2275 | 22.75 164.921
2276 | 22.76 164.837
2277 | 22.77 164.724
2278 | 22.78 164.585
2279 | 22.79 164.421
2280 | 22.8 164.233
2281 | 22.81 164.025
2282 | 22.82 163.797
2283 | 22.83 163.554
2284 | 22.84 163.297
2285 | 22.85 163.029
2286 | 22.86 162.754
2287 | 22.87 162.474
2288 | 22.88 162.193
2289 | 22.89 161.914
2290 | 22.9 161.639
2291 | 22.91 161.373
2292 | 22.92 161.118
2293 | 22.93 160.877
2294 | 22.94 160.652
2295 | 22.95 160.447
2296 | 22.96 160.263
2297 | 22.97 160.102
2298 | 22.98 159.967
2299 | 22.99 159.859
2300 | 23 159.779
2301 | 23.01 159.727
2302 | 23.02 159.706
2303 | 23.03 159.714
2304 | 23.04 159.752
2305 | 23.05 159.819
2306 | 23.06 159.914
2307 | 23.07 160.037
2308 | 23.08 160.186
2309 | 23.09 160.36
2310 | 23.1 160.556
2311 | 23.11 160.772
2312 | 23.12 161.005
2313 | 23.13 161.254
2314 | 23.14 161.516
2315 | 23.15 161.787
2316 | 23.16 162.064
2317 | 23.17 162.344
2318 | 23.18 162.625
2319 | 23.19 162.902
2320 | 23.2 163.174
2321 | 23.21 163.436
2322 | 23.22 163.686
2323 | 23.23 163.921
2324 | 23.24 164.138
2325 | 23.25 164.335
2326 | 23.26 164.51
2327 | 23.27 164.661
2328 | 23.28 164.785
2329 | 23.29 164.883
2330 | 23.3 164.952
2331 | 23.31 164.992
2332 | 23.32 165.002
2333 | 23.33 164.982
2334 | 23.34 164.933
2335 | 23.35 164.854
2336 | 23.36 164.748
2337 | 23.37 164.615
2338 | 23.38 164.456
2339 | 23.39 164.274
2340 | 23.4 164.07
2341 | 23.41 163.847
2342 | 23.42 163.607
2343 | 23.43 163.353
2344 | 23.44 163.088
2345 | 23.45 162.814
2346 | 23.46 162.536
2347 | 23.47 162.255
2348 | 23.48 161.976
2349 | 23.49 161.701
2350 | 23.5 161.433
2351 | 23.51 161.175
2352 | 23.52 160.931
2353 | 23.53 160.703
2354 | 23.54 160.494
2355 | 23.55 160.306
2356 | 23.56 160.14
2357 | 23.57 160
2358 | 23.58 159.886
2359 | 23.59 159.8
2360 | 23.6 159.742
2361 | 23.61 159.714
2362 | 23.62 159.716
2363 | 23.63 159.747
2364 | 23.64 159.808
2365 | 23.65 159.897
2366 | 23.66 160.014
2367 | 23.67 160.158
2368 | 23.68 160.326
2369 | 23.69 160.516
2370 | 23.7 160.728
2371 | 23.71 160.958
2372 | 23.72 161.203
2373 | 23.73 161.461
2374 | 23.74 161.73
2375 | 23.75 162.005
2376 | 23.76 162.284
2377 | 23.77 162.564
2378 | 23.78 162.842
2379 | 23.79 163.114
2380 | 23.8 163.378
2381 | 23.81 163.63
2382 | 23.82 163.868
2383 | 23.83 164.088
2384 | 23.84 164.289
2385 | 23.85 164.469
2386 | 23.86 164.624
2387 | 23.87 164.754
2388 | 23.88 164.857
2389 | 23.89 164.932
2390 | 23.9 164.977
2391 | 23.91 164.994
2392 | 23.92 164.98
2393 | 23.93 164.937
2394 | 23.94 164.865
2395 | 23.95 164.765
2396 | 23.96 164.637
2397 | 23.97 164.484
2398 | 23.98 164.307
2399 | 23.99 164.108
2400 | 24 163.89
2401 | 24.01 163.654
2402 | 24.02 163.403
2403 | 24.03 163.141
2404 | 24.04 162.87
2405 | 24.05 162.593
2406 | 24.06 162.313
2407 | 24.07 162.034
2408 | 24.08 161.759
2409 | 24.09 161.491
2410 | 24.1 161.232
2411 | 24.11 160.985
2412 | 24.12 160.755
2413 | 24.13 160.542
2414 | 24.14 160.35
2415 | 24.15 160.18
2416 | 24.16 160.035
2417 | 24.17 159.916
2418 | 24.18 159.824
2419 | 24.19 159.761
2420 | 24.2 159.727
2421 | 24.21 159.723
2422 | 24.22 159.748
2423 | 24.23 159.803
2424 | 24.24 159.886
2425 | 24.25 159.997
2426 | 24.26 160.135
2427 | 24.27 160.297
2428 | 24.28 160.483
2429 | 24.29 160.69
2430 | 24.3 160.915
2431 | 24.31 161.157
2432 | 24.32 161.412
2433 | 24.33 161.678
2434 | 24.34 161.951
2435 | 24.35 162.229
2436 | 24.36 162.508
2437 | 24.37 162.785
2438 | 24.38 163.058
2439 | 24.39 163.322
2440 | 24.4 163.576
2441 | 24.41 163.816
2442 | 24.42 164.039
2443 | 24.43 164.244
2444 | 24.44 164.427
2445 | 24.45 164.586
2446 | 24.46 164.721
2447 | 24.47 164.829
2448 | 24.48 164.909
2449 | 24.49 164.96
2450 | 24.5 164.982
2451 | 24.51 164.975
2452 | 24.52 164.938
2453 | 24.53 164.871
2454 | 24.54 164.777
2455 | 24.55 164.655
2456 | 24.56 164.508
2457 | 24.57 164.336
2458 | 24.58 164.142
2459 | 24.59 163.927
2460 | 24.6 163.695
2461 | 24.61 163.448
2462 | 24.62 163.189
2463 | 24.63 162.921
2464 | 24.64 162.646
2465 | 24.65 162.367
2466 | 24.66 162.089
2467 | 24.67 161.814
2468 | 24.68 161.545
2469 | 24.69 161.285
2470 | 24.7 161.037
2471 | 24.71 160.804
2472 | 24.72 160.588
2473 | 24.73 160.393
2474 | 24.74 160.219
2475 | 24.75 160.07
2476 | 24.76 159.946
2477 | 24.77 159.85
2478 | 24.78 159.781
2479 | 24.79 159.742
2480 | 24.8 159.732
2481 | 24.81 159.752
2482 | 24.82 159.801
2483 | 24.83 159.879
2484 | 24.84 159.984
2485 | 24.85 160.116
2486 | 24.86 160.274
2487 | 24.87 160.455
2488 | 24.88 160.657
2489 | 24.89 160.878
2490 | 24.9 161.116
2491 | 24.91 161.368
2492 | 24.92 161.631
2493 | 24.93 161.902
2494 | 24.94 162.178
2495 | 24.95 162.456
2496 | 24.96 162.733
2497 | 24.97 163.005
2498 | 24.98 163.271
2499 | 24.99 163.525
2500 | 25 163.767
2501 | 25.01 163.993
2502 | 25.02 164.2
2503 | 25.03 164.387
2504 | 25.04 164.55
2505 | 25.05 164.689
2506 | 25.06 164.801
2507 | 25.07 164.886
2508 | 25.08 164.943
2509 | 25.09 164.97
2510 | 25.1 164.967
2511 | 25.11 164.936
2512 | 25.12 164.875
2513 | 25.13 164.786
2514 | 25.14 164.669
2515 | 25.15 164.527
2516 | 25.16 164.36
2517 | 25.17 164.17
2518 | 25.18 163.96
2519 | 25.19 163.732
2520 | 25.2 163.488
2521 | 25.21 163.232
2522 | 25.22 162.966
2523 | 25.23 162.693
2524 | 25.24 162.416
2525 | 25.25 162.139
2526 | 25.26 161.864
2527 | 25.27 161.594
2528 | 25.28 161.333
2529 | 25.29 161.084
2530 | 25.3 160.849
2531 | 25.31 160.631
2532 | 25.32 160.433
2533 | 25.33 160.256
2534 | 25.34 160.103
2535 | 25.35 159.975
2536 | 25.36 159.874
2537 | 25.37 159.801
2538 | 25.38 159.757
2539 | 25.39 159.742
2540 | 25.4 159.756
2541 | 25.41 159.8
2542 | 25.42 159.872
2543 | 25.43 159.973
2544 | 25.44 160.1
2545 | 25.45 160.253
2546 | 25.46 160.429
2547 | 25.47 160.627
2548 | 25.48 160.845
2549 | 25.49 161.079
2550 | 25.5 161.328
2551 | 25.51 161.588
2552 | 25.52 161.857
2553 | 25.53 162.132
2554 | 25.54 162.409
2555 | 25.55 162.685
2556 | 25.56 162.958
2557 | 25.57 163.223
2558 | 25.58 163.479
2559 | 25.59 163.723
2560 | 25.6 163.951
2561 | 25.61 164.16
2562 | 25.62 164.35
2563 | 25.63 164.517
2564 | 25.64 164.659
2565 | 25.65 164.776
2566 | 25.66 164.865
2567 | 25.67 164.926
2568 | 25.68 164.958
2569 | 25.69 164.961
2570 | 25.7 164.934
2571 | 25.71 164.878
2572 | 25.72 164.794
2573 | 25.73 164.682
2574 | 25.74 164.544
2575 | 25.75 164.382
2576 | 25.76 164.196
2577 | 25.77 163.99
2578 | 25.78 163.765
2579 | 25.79 163.525
2580 | 25.8 163.271
2581 | 25.81 163.007
2582 | 25.82 162.736
2583 | 25.83 162.461
2584 | 25.84 162.184
2585 | 25.85 161.909
2586 | 25.86 161.639
2587 | 25.87 161.378
2588 | 25.88 161.127
2589 | 25.89 160.891
2590 | 25.9 160.67
2591 | 25.91 160.469
2592 | 25.92 160.289
2593 | 25.93 160.133
2594 | 25.94 160.001
2595 | 25.95 159.896
2596 | 25.96 159.819
2597 | 25.97 159.77
2598 | 25.98 159.75
2599 | 25.99 159.76
2600 | 26 159.799
2601 | 26.01 159.867
2602 | 26.02 159.963
2603 | 26.03 160.085
2604 | 26.04 160.234
2605 | 26.05 160.406
2606 | 26.06 160.6
2607 | 26.07 160.814
2608 | 26.08 161.046
2609 | 26.09 161.292
2610 | 26.1 161.55
2611 | 26.11 161.817
2612 | 26.12 162.09
2613 | 26.13 162.366
2614 | 26.14 162.642
2615 | 26.15 162.914
2616 | 26.16 163.181
2617 | 26.17 163.438
2618 | 26.18 163.683
2619 | 26.19 163.912
2620 | 26.2 164.125
2621 | 26.21 164.317
2622 | 26.22 164.487
2623 | 26.23 164.633
2624 | 26.24 164.753
2625 | 26.25 164.847
2626 | 26.26 164.912
2627 | 26.27 164.948
2628 | 26.28 164.955
2629 | 26.29 164.933
2630 | 26.3 164.882
2631 | 26.31 164.802
2632 | 26.32 164.695
2633 | 26.33 164.561
2634 | 26.34 164.403
2635 | 26.35 164.221
2636 | 26.36 164.018
2637 | 26.37 163.797
2638 | 26.38 163.559
2639 | 26.39 163.308
2640 | 26.4 163.046
2641 | 26.41 162.776
2642 | 26.42 162.502
2643 | 26.43 162.226
2644 | 26.44 161.951
2645 | 26.45 161.681
2646 | 26.46 161.419
2647 | 26.47 161.167
2648 | 26.48 160.928
2649 | 26.49 160.706
2650 | 26.5 160.502
2651 | 26.51 160.319
2652 | 26.52 160.159
2653 | 26.53 160.024
2654 | 26.54 159.915
2655 | 26.55 159.834
2656 | 26.56 159.781
2657 | 26.57 159.757
2658 | 26.58 159.762
2659 | 26.59 159.797
2660 | 26.6 159.86
2661 | 26.61 159.951
2662 | 26.62 160.07
2663 | 26.63 160.214
2664 | 26.64 160.383
2665 | 26.65 160.574
2666 | 26.66 160.784
2667 | 26.67 161.013
2668 | 26.68 161.256
2669 | 26.69 161.512
2670 | 26.7 161.778
2671 | 26.71 162.05
2672 | 26.72 162.325
2673 | 26.73 162.601
2674 | 26.74 162.874
2675 | 26.75 163.141
2676 | 26.76 163.399
2677 | 26.77 163.645
2678 | 26.78 163.877
2679 | 26.79 164.092
2680 | 26.8 164.287
2681 | 26.81 164.46
2682 | 26.82 164.61
2683 | 26.83 164.734
2684 | 26.84 164.831
2685 | 26.85 164.9
2686 | 26.86 164.941
2687 | 26.87 164.952
2688 | 26.88 164.935
2689 | 26.89 164.888
2690 | 26.9 164.812
2691 | 26.91 164.709
2692 | 26.92 164.579
2693 | 26.93 164.424
2694 | 26.94 164.246
2695 | 26.95 164.047
2696 | 26.96 163.828
2697 | 26.97 163.593
2698 | 26.98 163.344
2699 | 26.99 163.084
2700 | 27 162.816
2701 | 27.01 162.542
2702 | 27.02 162.266
2703 | 27.03 161.992
2704 | 27.04 161.721
2705 | 27.05 161.457
2706 | 27.06 161.204
2707 | 27.07 160.964
2708 | 27.08 160.739
2709 | 27.09 160.533
2710 | 27.1 160.347
2711 | 27.11 160.183
2712 | 27.12 160.045
2713 | 27.13 159.932
2714 | 27.14 159.846
2715 | 27.15 159.789
2716 | 27.16 159.761
2717 | 27.17 159.762
2718 | 27.18 159.792
2719 | 27.19 159.851
2720 | 27.2 159.939
2721 | 27.21 160.053
2722 | 27.22 160.194
2723 | 27.23 160.359
2724 | 27.24 160.546
2725 | 27.25 160.754
2726 | 27.26 160.98
2727 | 27.27 161.221
2728 | 27.28 161.475
2729 | 27.29 161.739
2730 | 27.3 162.01
2731 | 27.31 162.285
2732 | 27.32 162.56
2733 | 27.33 162.833
2734 | 27.34 163.101
2735 | 27.35 163.361
2736 | 27.36 163.609
2737 | 27.37 163.843
2738 | 27.38 164.06
2739 | 27.39 164.258
2740 | 27.4 164.435
2741 | 27.41 164.588
2742 | 27.42 164.716
2743 | 27.43 164.817
2744 | 27.44 164.89
2745 | 27.45 164.935
2746 | 27.46 164.951
2747 | 27.47 164.938
2748 | 27.48 164.895
2749 | 27.49 164.824
2750 | 27.5 164.725
2751 | 27.51 164.599
2752 | 27.52 164.448
2753 | 27.53 164.273
2754 | 27.54 164.077
2755 | 27.55 163.861
2756 | 27.56 163.628
2757 | 27.57 163.381
2758 | 27.58 163.123
2759 | 27.59 162.855
2760 | 27.6 162.582
2761 | 27.61 162.307
2762 | 27.62 162.032
2763 | 27.63 161.761
2764 | 27.64 161.496
2765 | 27.65 161.241
2766 | 27.66 160.999
2767 | 27.67 160.772
2768 | 27.68 160.562
2769 | 27.69 160.373
2770 | 27.7 160.207
2771 | 27.71 160.064
2772 | 27.72 159.947
2773 | 27.73 159.858
2774 | 27.74 159.796
2775 | 27.75 159.764
2776 | 27.76 159.76
2777 | 27.77 159.786
2778 | 27.78 159.841
2779 | 27.79 159.924
2780 | 27.8 160.035
2781 | 27.81 160.172
2782 | 27.82 160.333
2783 | 27.83 160.517
2784 | 27.84 160.722
2785 | 27.85 160.945
2786 | 27.86 161.184
2787 | 27.87 161.437
2788 | 27.88 161.699
2789 | 27.89 161.969
2790 | 27.9 162.244
2791 | 27.91 162.519
2792 | 27.92 162.793
2793 | 27.93 163.062
2794 | 27.94 163.323
2795 | 27.95 163.573
2796 | 27.96 163.809
2797 | 27.97 164.029
2798 | 27.98 164.23
2799 | 27.99 164.41
2800 | 28 164.567
2801 | 28.01 164.699
2802 | 28.02 164.804
2803 | 28.03 164.882
2804 | 28.04 164.931
2805 | 28.05 164.952
2806 | 28.06 164.943
2807 | 28.07 164.904
2808 | 28.08 164.837
2809 | 28.09 164.742
2810 | 28.1 164.621
2811 | 28.11 164.473
2812 | 28.12 164.302
2813 | 28.13 164.109
2814 | 28.14 163.896
2815 | 28.15 163.665
2816 | 28.16 163.42
2817 | 28.17 163.163
2818 | 28.18 162.897
2819 | 28.19 162.624
2820 | 28.2 162.349
2821 | 28.21 162.073
2822 | 28.22 161.801
2823 | 28.23 161.535
2824 | 28.24 161.278
2825 | 28.25 161.034
2826 | 28.26 160.804
2827 | 28.27 160.592
2828 | 28.28 160.399
2829 | 28.29 160.229
2830 | 28.3 160.082
2831 | 28.31 159.961
2832 | 28.32 159.867
2833 | 28.33 159.802
2834 | 28.34 159.765
2835 | 28.35 159.757
2836 | 28.36 159.778
2837 | 28.37 159.828
2838 | 28.38 159.907
2839 | 28.39 160.014
2840 | 28.4 160.147
2841 | 28.41 160.304
2842 | 28.42 160.485
2843 | 28.43 160.687
2844 | 28.44 160.908
2845 | 28.45 161.145
2846 | 28.46 161.396
2847 | 28.47 161.657
2848 | 28.48 161.927
2849 | 28.49 162.201
2850 | 28.5 162.477
2851 | 28.51 162.752
2852 | 28.52 163.022
2853 | 28.53 163.285
2854 | 28.54 163.537
2855 | 28.55 163.776
2856 | 28.56 163.999
2857 | 28.57 164.203
2858 | 28.58 164.387
2859 | 28.59 164.547
2860 | 28.6 164.683
2861 | 28.61 164.793
2862 | 28.62 164.875
2863 | 28.63 164.929
2864 | 28.64 164.954
2865 | 28.65 164.949
2866 | 28.66 164.916
2867 | 28.67 164.853
2868 | 28.68 164.762
2869 | 28.69 164.645
2870 | 28.7 164.501
2871 | 28.71 164.333
2872 | 28.72 164.143
2873 | 28.73 163.933
2874 | 28.74 163.704
2875 | 28.75 163.461
2876 | 28.76 163.205
2877 | 28.77 162.94
2878 | 28.78 162.668
2879 | 28.79 162.392
2880 | 28.8 162.116
2881 | 28.81 161.843
2882 | 28.82 161.575
2883 | 28.83 161.316
2884 | 28.84 161.069
2885 | 28.85 160.837
2886 | 28.86 160.621
2887 | 28.87 160.425
2888 | 28.88 160.251
2889 | 28.89 160.1
2890 | 28.9 159.975
2891 | 28.91 159.876
2892 | 28.92 159.806
2893 | 28.93 159.764
2894 | 28.94 159.752
2895 | 28.95 159.768
2896 | 28.96 159.814
2897 | 28.97 159.889
2898 | 28.98 159.991
2899 | 28.99 160.12
2900 | 29 160.274
2901 | 29.01 160.452
2902 | 29.02 160.651
2903 | 29.03 160.869
2904 | 29.04 161.104
2905 | 29.05 161.353
2906 | 29.06 161.614
2907 | 29.07 161.882
2908 | 29.08 162.156
2909 | 29.09 162.433
2910 | 29.1 162.708
2911 | 29.11 162.98
2912 | 29.12 163.244
2913 | 29.13 163.499
2914 | 29.14 163.741
2915 | 29.15 163.967
2916 | 29.16 164.175
2917 | 29.17 164.362
2918 | 29.18 164.527
2919 | 29.19 164.667
2920 | 29.2 164.781
2921 | 29.21 164.868
2922 | 29.22 164.927
2923 | 29.23 164.957
2924 | 29.24 164.957
2925 | 29.25 164.928
2926 | 29.26 164.87
2927 | 29.27 164.783
2928 | 29.28 164.67
2929 | 29.29 164.53
2930 | 29.3 164.366
2931 | 29.31 164.179
2932 | 29.32 163.971
2933 | 29.33 163.745
2934 | 29.34 163.504
2935 | 29.35 163.249
2936 | 29.36 162.985
2937 | 29.37 162.713
2938 | 29.38 162.438
2939 | 29.39 162.161
2940 | 29.4 161.887
2941 | 29.41 161.617
2942 | 29.42 161.356
2943 | 29.43 161.107
2944 | 29.44 160.871
2945 | 29.45 160.652
2946 | 29.46 160.453
2947 | 29.47 160.274
2948 | 29.48 160.119
2949 | 29.49 159.99
2950 | 29.5 159.886
2951 | 29.51 159.811
2952 | 29.52 159.765
2953 | 29.53 159.747
2954 | 29.54 159.759
2955 | 29.55 159.8
2956 | 29.56 159.87
2957 | 29.57 159.968
2958 | 29.58 160.093
2959 | 29.59 160.243
2960 | 29.6 160.417
2961 | 29.61 160.613
2962 | 29.62 160.829
2963 | 29.63 161.061
2964 | 29.64 161.309
2965 | 29.65 161.568
2966 | 29.66 161.836
2967 | 29.67 162.11
2968 | 29.68 162.387
2969 | 29.69 162.663
2970 | 29.7 162.936
2971 | 29.71 163.202
2972 | 29.72 163.459
2973 | 29.73 163.703
2974 | 29.74 163.933
2975 | 29.75 164.144
2976 | 29.76 164.335
2977 | 29.77 164.504
2978 | 29.78 164.649
2979 | 29.79 164.768
2980 | 29.8 164.86
2981 | 29.81 164.923
2982 | 29.82 164.958
2983 | 29.83 164.963
2984 | 29.84 164.939
2985 | 29.85 164.886
2986 | 29.86 164.804
2987 | 29.87 164.695
2988 | 29.88 164.559
2989 | 29.89 164.399
2990 | 29.9 164.215
2991 | 29.91 164.011
2992 | 29.92 163.787
2993 | 29.93 163.548
2994 | 29.94 163.295
2995 | 29.95 163.032
2996 | 29.96 162.761
2997 | 29.97 162.485
2998 | 29.98 162.208
2999 | 29.99 161.933
3000 | 30 161.662
3001 | 


--------------------------------------------------------------------------------
/遗传算法求解/GA.py:
--------------------------------------------------------------------------------
 1 | # -*- coding: UTF-8 -*-
 2 | import os
 3 | # 创建文件夹
 4 | def Create_folder(filename):
 5 |     filename = filename.strip()
 6 |     filename = filename.rstrip("\\")
 7 |     isExists = os.path.exists(filename)
 8 |     if not isExists:
 9 |         os.makedirs(filename)
10 |         return  True
11 |     else:
12 |         return False
13 | 
14 | filename = "./Phen"
15 | Create_folder(filename)
16 | filename = "./ObjV"
17 | Create_folder(filename)
18 | 
19 | import numpy as np
20 | import geatpy as ea  # import geatpy
21 | 
22 | from bridge import MyProblem  # 导入自定义问题接口
23 | 
24 | # 实例化问题对象
25 | problem = MyProblem()
26 | # 构建算法
27 | 
28 | algorithm = ea.soea_EGA_templet(problem,
29 |                                 ea.Population(Encoding='BG', NIND=25),
30 |                                 MAXGEN=20,  # 最大进化代数
31 |                                 logTras=1)  # 表示每隔多少代记录一次日志信息
32 | 
33 | # 求解
34 | ea.optimize(algorithm, verbose=True, drawing=1, outputMsg=True, drawLog=False, saveFlag=True, dirname='result')
35 | np.savetxt(f"./ObjV/out_ObjV{problem.rank}.txt",problem.out_ObjV)
36 | np.savetxt(f"./Phen/out_Phen{problem.rank}.txt",problem.out_Phen)


--------------------------------------------------------------------------------
/遗传算法求解/Load.txt:
--------------------------------------------------------------------------------
   1 | 4.43E+01
   2 | 4.41E+01
   3 | 4.33E+01
   4 | 4.21E+01
   5 | 4.04E+01
   6 | 3.82E+01
   7 | 3.56E+01
   8 | 3.26E+01
   9 | 2.93E+01
  10 | 2.56E+01
  11 | 2.16E+01
  12 | 1.74E+01
  13 | 1.30E+01
  14 | 8.39E+00
  15 | 3.73E+00
  16 | -9.75E-01
  17 | -5.67E+00
  18 | -1.03E+01
  19 | -1.48E+01
  20 | -1.92E+01
  21 | -2.33E+01
  22 | -2.72E+01
  23 | -3.07E+01
  24 | -3.39E+01
  25 | -3.68E+01
  26 | -3.92E+01
  27 | -4.12E+01
  28 | -4.27E+01
  29 | -4.37E+01
  30 | -4.43E+01
  31 | -4.43E+01
  32 | -4.38E+01
  33 | -4.29E+01
  34 | -4.15E+01
  35 | -3.96E+01
  36 | -3.72E+01
  37 | -3.45E+01
  38 | -3.13E+01
  39 | -2.78E+01
  40 | -2.40E+01
  41 | -1.99E+01
  42 | -1.56E+01
  43 | -1.11E+01
  44 | -6.47E+00
  45 | -1.78E+00
  46 | 2.92E+00
  47 | 7.60E+00
  48 | 1.22E+01
  49 | 1.66E+01
  50 | 2.09E+01
  51 | 2.49E+01
  52 | 2.87E+01
  53 | 3.21E+01
  54 | 3.52E+01
  55 | 3.78E+01
  56 | 4.01E+01
  57 | 4.19E+01
  58 | 4.32E+01
  59 | 4.40E+01
  60 | 4.43E+01
  61 | 4.42E+01
  62 | 4.35E+01
  63 | 4.24E+01
  64 | 4.07E+01
  65 | 3.86E+01
  66 | 3.61E+01
  67 | 3.32E+01
  68 | 2.99E+01
  69 | 2.62E+01
  70 | 2.23E+01
  71 | 1.81E+01
  72 | 1.37E+01
  73 | 9.18E+00
  74 | 4.53E+00
  75 | -1.67E-01
  76 | -4.87E+00
  77 | -9.51E+00
  78 | -1.40E+01
  79 | -1.84E+01
  80 | -2.26E+01
  81 | -2.65E+01
  82 | -3.01E+01
  83 | -3.34E+01
  84 | -3.63E+01
  85 | -3.88E+01
  86 | -4.09E+01
  87 | -4.25E+01
  88 | -4.36E+01
  89 | -4.42E+01
  90 | -4.43E+01
  91 | -4.40E+01
  92 | -4.31E+01
  93 | -4.17E+01
  94 | -3.99E+01
  95 | -3.76E+01
  96 | -3.50E+01
  97 | -3.19E+01
  98 | -2.84E+01
  99 | -2.46E+01
 100 | -2.06E+01
 101 | -1.63E+01
 102 | -1.19E+01
 103 | -7.27E+00
 104 | -2.59E+00
 105 | 2.12E+00
 106 | 6.80E+00
 107 | 1.14E+01
 108 | 1.59E+01
 109 | 2.02E+01
 110 | 2.43E+01
 111 | 2.81E+01
 112 | 3.15E+01
 113 | 3.47E+01
 114 | 3.74E+01
 115 | 3.97E+01
 116 | 4.16E+01
 117 | 4.30E+01
 118 | 4.39E+01
 119 | 4.43E+01
 120 | 4.42E+01
 121 | 4.37E+01
 122 | 4.26E+01
 123 | 4.10E+01
 124 | 3.90E+01
 125 | 3.66E+01
 126 | 3.37E+01
 127 | 3.05E+01
 128 | 2.69E+01
 129 | 2.30E+01
 130 | 1.89E+01
 131 | 1.45E+01
 132 | 9.97E+00
 133 | 5.34E+00
 134 | 6.41E-01
 135 | -4.06E+00
 136 | -8.72E+00
 137 | -1.33E+01
 138 | -1.77E+01
 139 | -2.19E+01
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 141 | -2.95E+01
 142 | -3.29E+01
 143 | -3.58E+01
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 147 | -4.34E+01
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 151 | -4.33E+01
 152 | -4.20E+01
 153 | -4.03E+01
 154 | -3.81E+01
 155 | -3.54E+01
 156 | -3.24E+01
 157 | -2.90E+01
 158 | -2.53E+01
 159 | -2.13E+01
 160 | -1.71E+01
 161 | -1.26E+01
 162 | -8.06E+00
 163 | -3.40E+00
 164 | 1.31E+00
 165 | 6.00E+00
 166 | 1.06E+01
 167 | 1.51E+01
 168 | 1.95E+01
 169 | 2.36E+01
 170 | 2.74E+01
 171 | 3.10E+01
 172 | 3.42E+01
 173 | 3.70E+01
 174 | 3.93E+01
 175 | 4.13E+01
 176 | 4.28E+01
 177 | 4.38E+01
 178 | 4.43E+01
 179 | 4.43E+01
 180 | 4.38E+01
 181 | 4.28E+01
 182 | 4.13E+01
 183 | 3.94E+01
 184 | 3.70E+01
 185 | 3.42E+01
 186 | 3.11E+01
 187 | 2.75E+01
 188 | 2.37E+01
 189 | 1.96E+01
 190 | 1.53E+01
 191 | 1.08E+01
 192 | 6.14E+00
 193 | 1.45E+00
 194 | -3.26E+00
 195 | -7.93E+00
 196 | -1.25E+01
 197 | -1.69E+01
 198 | -2.12E+01
 199 | -2.52E+01
 200 | -2.89E+01
 201 | -3.23E+01
 202 | -3.54E+01
 203 | -3.80E+01
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 205 | -4.20E+01
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 211 | -4.23E+01
 212 | -4.06E+01
 213 | -3.85E+01
 214 | -3.59E+01
 215 | -3.30E+01
 216 | -2.96E+01
 217 | -2.60E+01
 218 | -2.20E+01
 219 | -1.78E+01
 220 | -1.34E+01
 221 | -8.86E+00
 222 | -4.20E+00
 223 | 5.02E-01
 224 | 5.20E+00
 225 | 9.84E+00
 226 | 1.44E+01
 227 | 1.87E+01
 228 | 2.29E+01
 229 | 2.68E+01
 230 | 3.04E+01
 231 | 3.36E+01
 232 | 3.65E+01
 233 | 3.90E+01
 234 | 4.10E+01
 235 | 4.26E+01
 236 | 4.36E+01
 237 | 4.42E+01
 238 | 4.43E+01
 239 | 4.39E+01
 240 | 4.30E+01
 241 | 4.16E+01
 242 | 3.98E+01
 243 | 3.75E+01
 244 | 3.47E+01
 245 | 3.16E+01
 246 | 2.82E+01
 247 | 2.44E+01
 248 | 2.03E+01
 249 | 1.60E+01
 250 | 1.15E+01
 251 | 6.94E+00
 252 | 2.26E+00
 253 | -2.45E+00
 254 | -7.13E+00
 255 | -1.17E+01
 256 | -1.62E+01
 257 | -2.05E+01
 258 | -2.45E+01
 259 | -2.83E+01
 260 | -3.18E+01
 261 | -3.49E+01
 262 | -3.76E+01
 263 | -3.99E+01
 264 | -4.17E+01
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 266 | -4.39E+01
 267 | -4.43E+01
 268 | -4.42E+01
 269 | -4.36E+01
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 271 | -4.09E+01
 272 | -3.89E+01
 273 | -3.64E+01
 274 | -3.35E+01
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 278 | -1.86E+01
 279 | -1.42E+01
 280 | -9.65E+00
 281 | -5.00E+00
 282 | -3.06E-01
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 284 | 9.05E+00
 285 | 1.36E+01
 286 | 1.80E+01
 287 | 2.22E+01
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 297 | 4.43E+01
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 300 | 4.19E+01
 301 | 4.01E+01
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 305 | 2.88E+01
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 335 | -2.73E+01
 336 | -2.34E+01
 337 | -1.93E+01
 338 | -1.49E+01
 339 | -1.04E+01
 340 | -5.81E+00
 341 | -1.11E+00
 342 | 3.59E+00
 343 | 8.25E+00
 344 | 1.28E+01
 345 | 1.73E+01
 346 | 2.15E+01
 347 | 2.55E+01
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 349 | 3.26E+01
 350 | 3.56E+01
 351 | 3.82E+01
 352 | 4.03E+01
 353 | 4.21E+01
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 355 | 4.41E+01
 356 | 4.43E+01
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 362 | 3.57E+01
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 364 | 2.94E+01
 365 | 2.57E+01
 366 | 2.17E+01
 367 | 1.75E+01
 368 | 1.31E+01
 369 | 8.53E+00
 370 | 3.87E+00
 371 | -8.36E-01
 372 | -5.53E+00
 373 | -1.02E+01
 374 | -1.47E+01
 375 | -1.90E+01
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 380 | -3.67E+01
 381 | -3.91E+01
 382 | -4.11E+01
 383 | -4.26E+01
 384 | -4.37E+01
 385 | -4.43E+01
 386 | -4.43E+01
 387 | -4.39E+01
 388 | -4.29E+01
 389 | -4.15E+01
 390 | -3.96E+01
 391 | -3.73E+01
 392 | -3.45E+01
 393 | -3.14E+01
 394 | -2.79E+01
 395 | -2.41E+01
 396 | -2.00E+01
 397 | -1.57E+01
 398 | -1.12E+01
 399 | -6.61E+00
 400 | -1.92E+00
 401 | 2.78E+00
 402 | 7.46E+00
 403 | 1.21E+01
 404 | 1.65E+01
 405 | 2.08E+01
 406 | 2.48E+01
 407 | 2.86E+01
 408 | 3.20E+01
 409 | 3.51E+01
 410 | 3.78E+01
 411 | 4.00E+01
 412 | 4.18E+01
 413 | 4.31E+01
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2576 | -4.41E+01
2577 | -4.33E+01
2578 | -4.21E+01
2579 | -4.03E+01
2580 | -3.82E+01
2581 | -3.55E+01
2582 | -3.25E+01
2583 | -2.92E+01
2584 | -2.55E+01
2585 | -2.15E+01
2586 | -1.72E+01
2587 | -1.28E+01
2588 | -8.23E+00
2589 | -3.56E+00
2590 | 1.14E+00
2591 | 5.83E+00
2592 | 1.05E+01
2593 | 1.50E+01
2594 | 1.93E+01
2595 | 2.34E+01
2596 | 2.73E+01
2597 | 3.08E+01
2598 | 3.40E+01
2599 | 3.69E+01
2600 | 3.93E+01
2601 | 4.12E+01
2602 | 4.27E+01
2603 | 4.37E+01
2604 | 4.43E+01
2605 | 4.43E+01
2606 | 4.38E+01
2607 | 4.29E+01
2608 | 4.14E+01
2609 | 3.95E+01
2610 | 3.71E+01
2611 | 3.43E+01
2612 | 3.12E+01
2613 | 2.77E+01
2614 | 2.38E+01
2615 | 1.97E+01
2616 | 1.54E+01
2617 | 1.09E+01
2618 | 6.30E+00
2619 | 1.62E+00
2620 | -3.09E+00
2621 | -7.76E+00
2622 | -1.23E+01
2623 | -1.68E+01
2624 | -2.10E+01
2625 | -2.51E+01
2626 | -2.88E+01
2627 | -3.22E+01
2628 | -3.53E+01
2629 | -3.79E+01
2630 | -4.01E+01
2631 | -4.19E+01
2632 | -4.32E+01
2633 | -4.40E+01
2634 | -4.43E+01
2635 | -4.42E+01
2636 | -4.35E+01
2637 | -4.23E+01
2638 | -4.07E+01
2639 | -3.86E+01
2640 | -3.60E+01
2641 | -3.31E+01
2642 | -2.98E+01
2643 | -2.61E+01
2644 | -2.22E+01
2645 | -1.80E+01
2646 | -1.36E+01
2647 | -9.02E+00
2648 | -4.37E+00
2649 | 3.34E-01
2650 | 5.03E+00
2651 | 9.67E+00
2652 | 1.42E+01
2653 | 1.86E+01
2654 | 2.27E+01
2655 | 2.66E+01
2656 | 3.03E+01
2657 | 3.35E+01
2658 | 3.64E+01
2659 | 3.89E+01
2660 | 4.09E+01
2661 | 4.25E+01
2662 | 4.36E+01
2663 | 4.42E+01
2664 | 4.43E+01
2665 | 4.39E+01
2666 | 4.31E+01
2667 | 4.17E+01
2668 | 3.98E+01
2669 | 3.76E+01
2670 | 3.49E+01
2671 | 3.17E+01
2672 | 2.83E+01
2673 | 2.45E+01
2674 | 2.05E+01
2675 | 1.62E+01
2676 | 1.17E+01
2677 | 7.10E+00
2678 | 2.42E+00
2679 | -2.28E+00
2680 | -6.96E+00
2681 | -1.16E+01
2682 | -1.60E+01
2683 | -2.03E+01
2684 | -2.44E+01
2685 | -2.82E+01
2686 | -3.17E+01
2687 | -3.48E+01
2688 | -3.75E+01
2689 | -3.98E+01
2690 | -4.16E+01
2691 | -4.30E+01
2692 | -4.39E+01
2693 | -4.43E+01
2694 | -4.42E+01
2695 | -4.36E+01
2696 | -4.25E+01
2697 | -4.10E+01
2698 | -3.90E+01
2699 | -3.65E+01
2700 | -3.36E+01
2701 | -3.04E+01
2702 | -2.68E+01
2703 | -2.29E+01
2704 | -1.87E+01
2705 | -1.43E+01
2706 | -9.81E+00
2707 | -5.17E+00
2708 | -4.74E-01
2709 | 4.23E+00
2710 | 8.88E+00
2711 | 1.34E+01
2712 | 1.78E+01
2713 | 2.20E+01
2714 | 2.60E+01
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2716 | 3.30E+01
2717 | 3.59E+01
2718 | 3.85E+01
2719 | 4.06E+01
2720 | 4.23E+01
2721 | 4.35E+01
2722 | 4.41E+01
2723 | 4.43E+01
2724 | 4.40E+01
2725 | 4.32E+01
2726 | 4.20E+01
2727 | 4.02E+01
2728 | 3.80E+01
2729 | 3.53E+01
2730 | 3.23E+01
2731 | 2.89E+01
2732 | 2.52E+01
2733 | 2.12E+01
2734 | 1.69E+01
2735 | 1.25E+01
2736 | 7.90E+00
2737 | 3.23E+00
2738 | -1.48E+00
2739 | -6.17E+00
2740 | -1.08E+01
2741 | -1.53E+01
2742 | -1.96E+01
2743 | -2.37E+01
2744 | -2.76E+01
2745 | -3.11E+01
2746 | -3.43E+01
2747 | -3.70E+01
2748 | -3.94E+01
2749 | -4.14E+01
2750 | -4.28E+01
2751 | -4.38E+01
2752 | -4.43E+01
2753 | -4.43E+01
2754 | -4.38E+01
2755 | -4.28E+01
2756 | -4.13E+01
2757 | -3.93E+01
2758 | -3.69E+01
2759 | -3.41E+01
2760 | -3.09E+01
2761 | -2.74E+01
2762 | -2.35E+01
2763 | -1.94E+01
2764 | -1.51E+01
2765 | -1.06E+01
2766 | -5.97E+00
2767 | -1.28E+00
2768 | 3.42E+00
2769 | 8.09E+00
2770 | 1.27E+01
2771 | 1.71E+01
2772 | 2.13E+01
2773 | 2.53E+01
2774 | 2.91E+01
2775 | 3.24E+01
2776 | 3.55E+01
2777 | 3.81E+01
2778 | 4.03E+01
2779 | 4.20E+01
2780 | 4.33E+01
2781 | 4.41E+01
2782 | 4.43E+01
2783 | 4.41E+01
2784 | 4.34E+01
2785 | 4.22E+01
2786 | 4.05E+01
2787 | 3.84E+01
2788 | 3.58E+01
2789 | 3.29E+01
2790 | 2.95E+01
2791 | 2.58E+01
2792 | 2.19E+01
2793 | 1.77E+01
2794 | 1.33E+01
2795 | 8.69E+00
2796 | 4.03E+00
2797 | -6.69E-01
2798 | -5.36E+00
2799 | -1.00E+01
2800 | -1.45E+01
2801 | -1.89E+01
2802 | -2.30E+01
2803 | -2.69E+01
2804 | -3.05E+01
2805 | -3.37E+01
2806 | -3.66E+01
2807 | -3.90E+01
2808 | -4.11E+01
2809 | -4.26E+01
2810 | -4.37E+01
2811 | -4.42E+01
2812 | -4.43E+01
2813 | -4.39E+01
2814 | -4.30E+01
2815 | -4.16E+01
2816 | -3.97E+01
2817 | -3.74E+01
2818 | -3.46E+01
2819 | -3.15E+01
2820 | -2.80E+01
2821 | -2.42E+01
2822 | -2.02E+01
2823 | -1.59E+01
2824 | -1.14E+01
2825 | -6.77E+00
2826 | -2.09E+00
2827 | 2.62E+00
2828 | 7.29E+00
2829 | 1.19E+01
2830 | 1.64E+01
2831 | 2.06E+01
2832 | 2.47E+01
2833 | 2.84E+01
2834 | 3.19E+01
2835 | 3.50E+01
2836 | 3.77E+01
2837 | 3.99E+01
2838 | 4.18E+01
2839 | 4.31E+01
2840 | 4.40E+01
2841 | 4.43E+01
2842 | 4.42E+01
2843 | 4.36E+01
2844 | 4.25E+01
2845 | 4.09E+01
2846 | 3.88E+01
2847 | 3.63E+01
2848 | 3.34E+01
2849 | 3.01E+01
2850 | 2.65E+01
2851 | 2.26E+01
2852 | 1.84E+01
2853 | 1.40E+01
2854 | 9.48E+00
2855 | 4.84E+00
2856 | 1.39E-01
2857 | -4.56E+00
2858 | -9.21E+00
2859 | -1.38E+01
2860 | -1.81E+01
2861 | -2.23E+01
2862 | -2.63E+01
2863 | -2.99E+01
2864 | -3.32E+01
2865 | -3.61E+01
2866 | -3.87E+01
2867 | -4.07E+01
2868 | -4.24E+01
2869 | -4.35E+01
2870 | -4.42E+01
2871 | -4.43E+01
2872 | -4.40E+01
2873 | -4.32E+01
2874 | -4.18E+01
2875 | -4.01E+01
2876 | -3.78E+01
2877 | -3.51E+01
2878 | -3.21E+01
2879 | -2.87E+01
2880 | -2.49E+01
2881 | -2.09E+01
2882 | -1.66E+01
2883 | -1.22E+01
2884 | -7.57E+00
2885 | -2.90E+00
2886 | 1.81E+00
2887 | 6.50E+00
2888 | 1.11E+01
2889 | 1.56E+01
2890 | 1.99E+01
2891 | 2.40E+01
2892 | 2.78E+01
2893 | 3.13E+01
2894 | 3.45E+01
2895 | 3.72E+01
2896 | 3.96E+01
2897 | 4.15E+01
2898 | 4.29E+01
2899 | 4.39E+01
2900 | 4.43E+01
2901 | 4.43E+01
2902 | 4.37E+01
2903 | 4.27E+01
2904 | 4.12E+01
2905 | 3.92E+01
2906 | 3.68E+01
2907 | 3.39E+01
2908 | 3.07E+01
2909 | 2.71E+01
2910 | 2.33E+01
2911 | 1.91E+01
2912 | 1.48E+01
2913 | 1.03E+01
2914 | 5.64E+00
2915 | 9.47E-01
2916 | -3.76E+00
2917 | -8.42E+00
2918 | -1.30E+01
2919 | -1.74E+01
2920 | -2.16E+01
2921 | -2.56E+01
2922 | -2.93E+01
2923 | -3.27E+01
2924 | -3.57E+01
2925 | -3.83E+01
2926 | -4.04E+01
2927 | -4.21E+01
2928 | -4.34E+01
2929 | -4.41E+01
2930 | -4.43E+01
2931 | -4.41E+01
2932 | -4.33E+01
2933 | -4.21E+01
2934 | -4.04E+01
2935 | -3.82E+01
2936 | -3.56E+01
2937 | -3.26E+01
2938 | -2.93E+01
2939 | -2.56E+01
2940 | -2.16E+01
2941 | -1.74E+01
2942 | -1.29E+01
2943 | -8.36E+00
2944 | -3.70E+00
2945 | 1.00E+00
2946 | 5.70E+00
2947 | 1.03E+01
2948 | 1.48E+01
2949 | 1.92E+01
2950 | 2.33E+01
2951 | 2.72E+01
2952 | 3.07E+01
2953 | 3.40E+01
2954 | 3.68E+01
2955 | 3.92E+01
2956 | 4.12E+01
2957 | 4.27E+01
2958 | 4.37E+01
2959 | 4.43E+01
2960 | 4.43E+01
2961 | 4.38E+01
2962 | 4.29E+01
2963 | 4.15E+01
2964 | 3.96E+01
2965 | 3.72E+01
2966 | 3.44E+01
2967 | 3.13E+01
2968 | 2.78E+01
2969 | 2.39E+01
2970 | 1.99E+01
2971 | 1.55E+01
2972 | 1.11E+01
2973 | 6.44E+00
2974 | 1.75E+00
2975 | -2.95E+00
2976 | -7.62E+00
2977 | -1.22E+01
2978 | -1.67E+01
2979 | -2.09E+01
2980 | -2.49E+01
2981 | -2.87E+01
2982 | -3.21E+01
2983 | -3.52E+01
2984 | -3.78E+01
2985 | -4.01E+01
2986 | -4.19E+01
2987 | -4.32E+01
2988 | -4.40E+01
2989 | -4.43E+01
2990 | -4.42E+01
2991 | -4.35E+01
2992 | -4.24E+01
2993 | -4.07E+01
2994 | -3.86E+01
2995 | -3.61E+01
2996 | -3.32E+01
2997 | -2.99E+01
2998 | -2.62E+01
2999 | -2.23E+01
3000 | -1.81E+01
3001 | -1.37E+01
3002 | -9.16E+00
3003 | -4.51E+00
3004 | 1.95E-01
3005 | 4.89E+00
3006 | 9.54E+00
3007 | 1.41E+01
3008 | 1.85E+01
3009 | 2.26E+01
3010 | 2.65E+01


--------------------------------------------------------------------------------
/遗传算法求解/Mass.txt:
--------------------------------------------------------------------------------
 1 | 1.403
 2 | 2.427
 3 | 2.474
 4 | 2.725
 5 | 3.197
 6 | 3.249
 7 | 3.197
 8 | 3.266
 9 | 3.197
10 | 3.272
11 | 3.197
12 | 3.266
13 | 3.197
14 | 3.249
15 | 2.6105
16 | 2.0295
17 | 1.285
18 | 1.357
19 | 2.006
20 | 1.398
21 | 0.49
22 | 0.175
23 | 0.368
24 | 1.105
25 | 2.811
26 | 1.382
27 | 3.157
28 | 3.299
29 | 3.785
30 | 3.837
31 | 3.785
32 | 3.854
33 | 3.785
34 | 3.86
35 | 3.785
36 | 3.854
37 | 3.785
38 | 3.837
39 | 1.829
40 | 0.7115
41 | 1.7355
42 | 1.22
43 | 2.346
44 | 2.836
45 | 3.88
46 | 3.785
47 | 3.837
48 | 3.785
49 | 3.854
50 | 3.785
51 | 3.86
52 | 3.785
53 | 3.854
54 | 3.785
55 | 3.837
56 | 3.1535
57 | 1.3435
58 | 1.724
59 | 2.3385
60 | 1.8595
61 | 1.047
62 | 0.49
63 | 0.21
64 | 0.413
65 | 1.7125
66 | 2.1405
67 | 1.638
68 | 2.725
69 | 3.197
70 | 3.249
71 | 3.197
72 | 3.266
73 | 3.197
74 | 3.272
75 | 3.197
76 | 3.266
77 | 3.197
78 | 3.249
79 | 3.197
80 | 2.6735
81 | 2.0795
82 | 1.088
83 | 0.249
84 | 0.362
85 | 0.391
86 | 0.401
87 | 0.391
88 | 0.362
89 | 0.249
90 | 0.249
91 | 0.362
92 | 0.391
93 | 0.401
94 | 0.391
95 | 0.362
96 | 0.249


--------------------------------------------------------------------------------
/遗传算法求解/Node_Messages.txt:
--------------------------------------------------------------------------------
 1 | 0	0	0
 2 | 1723.78	0	0
 3 | 4566.64	0	0
 4 | 7066.64	0	0
 5 | 9566.64	0	0
 6 | 12066.64	0	0
 7 | 14566.64	0	0
 8 | 17066.64	0	0
 9 | 19566.64	0	0
10 | 22066.64	0	0
11 | 24566.64	0	0
12 | 27066.64	0	0
13 | 29566.64	0	0
14 | 32066.64	0	0
15 | 34566.64	0	0
16 | 37066.64	0	0
17 | 39566.64	0	0
18 | 40480.15	0	0
19 | 1725.24	-800	0
20 | 4566.64	-800	0
21 | 7066.64	-800	0
22 | 37066.64	-800	0
23 | 39566.64	-800	0
24 | 40715.62	-800	0
25 | 1152.1	-1600	0
26 | 1726.7	-1600	0
27 | 4566.64	-1600	0
28 | 7066.64	-1600	0
29 | 9566.64	-1600	0
30 | 12066.64	-1600	0
31 | 14566.64	-1600	0
32 | 17066.64	-1600	0
33 | 19566.64	-1600	0
34 | 22066.64	-1600	0
35 | 24566.64	-1600	0
36 | 27066.64	-1600	0
37 | 29566.64	-1600	0
38 | 32066.64	-1600	0
39 | 34566.64	-1600	0
40 | 37066.64	-1600	0
41 | 39566.64	-1600	0
42 | 40951.1	-1600	0
43 | 2304.21	-3200	0
44 | 4566.64	-3200	0
45 | 7066.64	-3200	0
46 | 9566.64	-3200	0
47 | 12066.64	-3200	0
48 | 14566.64	-3200	0
49 | 17066.64	-3200	0
50 | 19566.64	-3200	0
51 | 22066.64	-3200	0
52 | 24566.64	-3200	0
53 | 27066.64	-3200	0
54 | 29566.64	-3200	0
55 | 32066.64	-3200	0
56 | 34566.64	-3200	0
57 | 37066.64	-3200	0
58 | 39566.64	-3200	0
59 | 41422.05	-3200	0
60 | 2880.26	-4000	0
61 | 4566.64	-4000	0
62 | 7066.64	-4000	0
63 | 37066.64	-4000	0
64 | 39566.64	-4000	0
65 | 41657.52	-4000	0
66 | 3456.32	-4800	0
67 | 4566.64	-4800	0
68 | 7066.64	-4800	0
69 | 9566.64	-4800	0
70 | 12066.64	-4800	0
71 | 14566.64	-4800	0
72 | 17066.64	-4800	0
73 | 19566.64	-4800	0
74 | 22066.64	-4800	0
75 | 24566.64	-4800	0
76 | 27066.64	-4800	0
77 | 29566.64	-4800	0
78 | 32066.64	-4800	0
79 | 34566.64	-4800	0
80 | 37066.64	-4800	0
81 | 39566.64	-4800	0
82 | 41892.99	-4800	0
83 | 7066.64	-800	-956.37
84 | 7066.64	-4000	-956.37
85 | 12066.64	-800	-2387.5
86 | 12066.64	-4000	-2387.5
87 | 17066.64	-800	-3224.44
88 | 17066.64	-4000	-3224.44
89 | 22066.64	-800	-3500
90 | 22066.64	-4000	-3500
91 | 27066.64	-800	-3224.44
92 | 27066.64	-4000	-3224.44
93 | 32066.64	-800	-2387.5
94 | 32066.64	-4000	-2387.5
95 | 37066.64	-800	-956.37
96 | 37066.64	-4000	-956.37


--------------------------------------------------------------------------------
/遗传算法求解/ObjV/out_ObjV0.txt:
--------------------------------------------------------------------------------
 1 | 7.182118519729999662e+02
 2 | 7.239848547000000281e+02
 3 | 4.281756876599999941e+02
 4 | 4.281756876599999941e+02
 5 | 3.891387961169999699e+02
 6 | 3.840038833692000253e+02
 7 | 3.011549528339999711e+02
 8 | 2.991287161690000289e+02
 9 | 2.905301567930000601e+02
10 | 2.822019175540000333e+02
11 | 2.816927119220000009e+02
12 | 2.809257426629999941e+02
13 | 2.616271701470000153e+02
14 | 2.593473781759999497e+02
15 | 2.593473781759999497e+02
16 | 2.156880951619999962e+02
17 | 2.123731270520000010e+02
18 | 2.123821603349999521e+02
19 | 2.129435546600000180e+02
20 | 2.075934929719999786e+02
21 | 


--------------------------------------------------------------------------------
/遗传算法求解/Phen/out_Phen0.txt:
--------------------------------------------------------------------------------
 1 | 2.099770259638080283e+00 2.396834390668200285e+02 9.570957700054935069e-01
 2 | 2.130381966955153317e+01 1.855168876739606389e+02 9.048251236037355705e-01
 3 | 2.097958457907159513e+00 1.484002635741547920e+02 9.570957700054935069e-01
 4 | 2.097958457907159513e+00 1.484002635741547920e+02 9.570957700054935069e-01
 5 | 2.097958457907159513e+00 1.484003231776145810e+02 9.880351583958981720e-01
 6 | 2.073546813532651356e+00 1.484003231776145810e+02 9.919025819446988246e-01
 7 | 1.774504169944925325e+00 1.263130094805967332e+02 9.416260758102911188e-01
 8 | 2.097958457907159513e+00 1.263138439290337658e+02 9.570957700054935069e-01
 9 | 2.097958457907159513e+00 1.260697081577429941e+02 9.643471891594945777e-01
10 | 2.089090165224232631e+00 1.263130094805967332e+02 9.735323200878959193e-01
11 | 2.097958457907159513e+00 1.261002251291543388e+02 9.735323200878959193e-01
12 | 2.085752635719905435e+00 1.261002251291543388e+02 9.736531770737960612e-01
13 | 1.698503855232100568e+00 1.263443609004451105e+02 9.736531770737960612e-01
14 | 5.386646734854444452e-01 1.260688737093059615e+02 9.421095037538912420e-01
15 | 5.386646734854444452e-01 1.260688737093059615e+02 9.421095037538912420e-01
16 | 5.386646734854444452e-01 1.260688737093059615e+02 9.697857535249954086e-01
17 | 5.282706530291109148e-01 1.263433476416287107e+02 9.736531770737960612e-01
18 | 5.286520849724626325e-01 1.263433476416287107e+02 9.736531770737960612e-01
19 | 5.343735641227380651e-01 1.263139631359533297e+02 9.731697491301959380e-01
20 | 5.388553894571203040e-01 1.251075891098486466e+02 9.693023255813953964e-01
21 | 


--------------------------------------------------------------------------------
/遗传算法求解/TEST.py:
--------------------------------------------------------------------------------
  1 | # -*- coding: UTF-8 -*-
  2 | import openseespy.opensees as ops
  3 | import vfo.vfo as vfo
  4 | import matplotlib.pyplot as plt
  5 | import math
  6 | import numpy as np
  7 | 
  8 | ops.wipe()
  9 | ops.model('basic', '-ndm',3, '-ndf', 6)
 10 | 
 11 | print("****************************************","Material","****************************************")
 12 | IDSteel=1
 13 | Fy_Steel = 360
 14 | E0_Steel = 210000
 15 | bs_Steel = 0.005
 16 | R0 = 12.5
 17 | cR1 = 0.925
 18 | cR2 = 0.15
 19 | ops.uniaxialMaterial('Steel02', IDSteel, Fy_Steel, E0_Steel, bs_Steel,R0,cR1,cR2)
 20 | 
 21 | IDPT = 2
 22 | Fy_PT = 1860
 23 | E0_PT = 210000
 24 | bs_PT = 0.001
 25 | R0 = 18
 26 | cR1 = 0.925
 27 | cR2 = 0.15
 28 | a1=0
 29 | a2=1
 30 | a3=0
 31 | a4=1
 32 | sigInit=188.71
 33 | ops.uniaxialMaterial('Steel02', IDPT, Fy_PT, E0_PT, bs_PT,R0,cR1,cR2,a1,a2,a3,a4,sigInit)
 34 | 
 35 | IDConcrete=3
 36 | fpc = -40
 37 | epsc0 = -0.0024
 38 | fpcu = -18
 39 | epsU = -0.006
 40 | ops.uniaxialMaterial('Concrete01',IDConcrete,fpc,epsc0,fpcu,epsU)
 41 | 
 42 | IDPlate=4
 43 | ops.nDMaterial('ElasticIsotropic',IDPlate, 32500, 0.2, 0)
 44 | 
 45 | IDFiber_Plate=5
 46 | ops.nDMaterial('PlateFiber', IDFiber_Plate, IDPlate)
 47 | 
 48 | IDBearingZ=6
 49 | ops.uniaxialMaterial('Elastic',IDBearingZ,1900000)
 50 | 
 51 | IDBearingXY=7
 52 | ops.uniaxialMaterial('Elastic',IDBearingXY,13640)
 53 | 
 54 | IDXX=8
 55 | ops.uniaxialMaterial('ElasticPP',IDXX,1000,100000,-100000,0)
 56 | 
 57 | IDZZ=9
 58 | ops.uniaxialMaterial('ElasticPP',IDZZ,1000e10,2000000,-200000,0)
 59 | print("****************************************","Section","****************************************")
 60 | Fiber_X_Section=1
 61 | ops.section('Fiber',Fiber_X_Section, '-GJ', 1e15)
 62 | ops.patch('rect', IDSteel, 1, 4, -400,-150,-370,150)
 63 | ops.patch('rect', IDSteel, 4, 1, -370,-150,370,-125)
 64 | ops.patch('rect', IDSteel, 4, 1, -370,125,370,150)
 65 | ops.patch('rect', IDSteel, 1, 4, 370,-150,400,150)
 66 | 
 67 | Fiber_Y_Section=2
 68 | HI=368
 69 | WI=250
 70 | cx=16
 71 | cy=12
 72 | A=[-HI/2-cx,-WI/2]
 73 | B=[-HI/2,WI/2]
 74 | C=[-HI/2,-cy/2]
 75 | D=[HI/2,cy/2]
 76 | E=[HI/2,-WI/2]
 77 | F=[HI/2+cx,WI/2]
 78 | ops.section('Fiber',Fiber_Y_Section, '-GJ', 1e15)
 79 | ops.patch('rect', IDSteel, 1, 4, A[0], A[1], B[0], B[1])
 80 | ops.patch('rect', IDSteel, 4, 1, C[0], C[1], D[0], D[1])
 81 | ops.patch('rect', IDSteel, 1, 4, E[0], E[1], F[0], F[1])
 82 | 
 83 | R90=3
 84 | nc1, nr1 = 8,1
 85 | ri1, re1 = 90,80
 86 | a_beg1, a_end1 = 0., 360.
 87 | ops.section('Fiber',R90, '-GJ',1e15)
 88 | ops.patch('circ', IDSteel, nc1, nr1, 0., 0., ri1, re1, a_beg1, a_end1)
 89 | 
 90 | PlateFiber=4
 91 | ops.section('PlateFiber', PlateFiber, IDFiber_Plate, 120)
 92 | 
 93 | print("****************************************","Node","****************************************")
 94 | Node_Messages=np.loadtxt("Node_Messages.txt")
 95 | Len_Node=Node_Messages.shape[0]
 96 | for i in range(Len_Node):
 97 |     ops.node(i+1,Node_Messages[i,0],Node_Messages[i,1],Node_Messages[i,2])
 98 | 
 99 | Node_Mass=np.loadtxt("Mass.txt")
100 | Len_Mass=Node_Mass.shape[0]
101 | for i in range(Len_Mass):
102 |     ops.mass(i+1,Node_Mass[i],Node_Mass[i],Node_Mass[i],0,0,0)
103 | 
104 | ops.node(101,0,0,-400)
105 | ops.node(125,1152.1,-1600,-400)
106 | ops.node(143,2304.21,-3200,-400)
107 | ops.node(166,3456.32,-4800,-400)
108 | 
109 | ops.fix(101,1,1,1,1,1,1)
110 | ops.fix(125,1,1,1,1,1,1)
111 | ops.fix(143,1,1,1,1,1,1)
112 | ops.fix(166,1,1,1,1,1,1)
113 | 
114 | #=========================================================================================================
115 | ops.node(118,40480.15,0,0)
116 | ops.node(142,40951.1,-1600,0)
117 | ops.node(159,41422.05,-3200,0)
118 | ops.node(182,41892.99,-4800,0)
119 | 
120 | ops.fix(18,0,1,0,0,0,0)
121 | ops.fix(42,0,1,0,0,0,0)
122 | ops.fix(59,0,1,0,0,0,0)
123 | ops.fix(82,0,1,0,0,0,0)
124 | 
125 | ops.fix(118,1,1,1,1,1,1)
126 | ops.fix(142,1,1,1,1,1,1)
127 | ops.fix(159,1,1,1,1,1,1)
128 | ops.fix(182,1,1,1,1,1,1)
129 | 
130 | print("****************************************","coordTransf","****************************************")
131 | coordTransf="PDelta"  # Linear, PDelta, Corotational
132 | IDXTransf=1
133 | ops.geomTransf(coordTransf,IDXTransf,0,0,1)
134 | IDYTransf=2
135 | ops.geomTransf(coordTransf,IDYTransf,0,0,1)
136 | IDRTransf=3
137 | ops.geomTransf(coordTransf,IDRTransf,1,0,0)
138 | 
139 | print("****************************************","beamIntegration","****************************************")
140 | IDXIntegration=1
141 | ops.beamIntegration('Trapezoidal',IDXIntegration, Fiber_X_Section,4)
142 | IDYIntegration=2
143 | ops.beamIntegration('Trapezoidal',IDYIntegration, Fiber_Y_Section,4)
144 | IDRIntegration=3
145 | ops.beamIntegration('Trapezoidal',IDRIntegration, R90,4)
146 | 
147 | print("****************************************","X","****************************************")
148 | for i in range(17):
149 |     ops.element('forceBeamColumn', i+1,i+1, i+2, IDXTransf,IDXIntegration)
150 | 
151 | ops.element('forceBeamColumn', 18,19,20, IDXTransf,IDXIntegration)
152 | ops.element('forceBeamColumn', 19,20,21, IDXTransf,IDXIntegration)
153 | ops.element('forceBeamColumn', 20,22,23, IDXTransf,IDXIntegration)
154 | ops.element('forceBeamColumn', 21,23,24, IDXTransf,IDXIntegration)
155 | 
156 | for i in range(17):
157 |     ops.element('forceBeamColumn', i+22,i+25, i+26, IDXTransf,IDXIntegration)
158 | 
159 | for i in range(16):
160 |     ops.element('forceBeamColumn', i+39,i+43, i+44, IDXTransf,IDXIntegration)
161 | 
162 | ops.element('forceBeamColumn', 55,60,61, IDXTransf,IDXIntegration)
163 | ops.element('forceBeamColumn', 56,61,62, IDXTransf,IDXIntegration)
164 | ops.element('forceBeamColumn', 57,63,64, IDXTransf,IDXIntegration)
165 | ops.element('forceBeamColumn', 58,64,65, IDXTransf,IDXIntegration)
166 | 
167 | for i in range(16):
168 |     ops.element('forceBeamColumn', i+59,i+66, i+67, IDXTransf,IDXIntegration)
169 | 
170 | print("****************************************","Y","****************************************")
171 | ops.element('forceBeamColumn', 101,1,25, IDYTransf,IDYIntegration)
172 | ops.element('forceBeamColumn', 102,25,43, IDYTransf,IDYIntegration)
173 | ops.element('forceBeamColumn', 103,43,60, IDYTransf,IDYIntegration)
174 | ops.element('forceBeamColumn', 104,60,66, IDYTransf,IDYIntegration)
175 | ops.element('forceBeamColumn', 105,2,19, IDYTransf,IDYIntegration)
176 | ops.element('forceBeamColumn', 106,19,26, IDYTransf,IDYIntegration)
177 | 
178 | ops.element('forceBeamColumn', 107, 3, 20, IDYTransf, IDYIntegration)
179 | ops.element('forceBeamColumn', 108, 20, 27, IDYTransf, IDYIntegration)
180 | ops.element('forceBeamColumn', 109, 27, 44, IDYTransf, IDYIntegration)
181 | ops.element('forceBeamColumn', 110, 44, 61, IDYTransf, IDYIntegration)
182 | ops.element('forceBeamColumn', 111, 61, 67, IDYTransf, IDYIntegration)
183 | ops.element('forceBeamColumn', 112, 4, 21, IDYTransf, IDYIntegration)
184 | ops.element('forceBeamColumn', 113, 21, 28, IDYTransf, IDYIntegration)
185 | ops.element('forceBeamColumn', 114, 28, 45, IDYTransf, IDYIntegration)
186 | ops.element('forceBeamColumn', 115, 45, 62, IDYTransf, IDYIntegration)
187 | ops.element('forceBeamColumn', 116, 62, 68, IDYTransf, IDYIntegration)
188 | 
189 | for i in range(11):
190 |     ops.element('forceBeamColumn', 117+i*3, 5+i, 29+i, IDYTransf, IDYIntegration)
191 |     ops.element('forceBeamColumn', 118+i*3, 29+i, 46+i, IDYTransf, IDYIntegration)
192 |     ops.element('forceBeamColumn', 119+i*3, 46+i, 69+i, IDYTransf, IDYIntegration)
193 | 
194 | for i in range(3):
195 |     ops.element('forceBeamColumn', 150 + i * 5, 16 + i, 22 + i, IDYTransf, IDYIntegration)
196 |     ops.element('forceBeamColumn', 151 + i * 5, 22 + i, 40 + i, IDYTransf, IDYIntegration)
197 |     ops.element('forceBeamColumn', 152 + i * 5, 40 + i, 57 + i, IDYTransf, IDYIntegration)
198 |     ops.element('forceBeamColumn', 153 + i * 5, 57 + i, 63 + i, IDYTransf, IDYIntegration)
199 |     ops.element('forceBeamColumn', 154 + i * 5, 63 + i, 80 + i, IDYTransf, IDYIntegration)
200 | 
201 | print("****************************************","Rod Piece","****************************************")
202 | # for i in range(7):
203 | #     ops.element('forceBeamColumn', 201+4*i,83+2*i,4+2*i, IDRTransf, IDRIntegration)
204 | #     ops.element('forceBeamColumn', 202+4*i,83+2*i,28+2*i, IDRTransf, IDRIntegration)
205 | #     ops.element('forceBeamColumn', 203+4*i,84+2*i,45+2*i, IDRTransf, IDRIntegration)
206 | #     ops.element('forceBeamColumn', 204+4*i,84+2*i,68+2*i, IDRTransf, IDRIntegration)
207 | for i in range(7):
208 |     ops.element('elasticBeamColumn',201+4*i,83+2*i,4+2*i,5341, 206000e5, 0.79e5, 38720129,19360065,19360065, IDRTransf)
209 |     ops.element('elasticBeamColumn',202+4*i,83+2*i,28+2*i,5341, 206000e5, 0.79e5, 38720129,19360065,19360065, IDRTransf)
210 |     ops.element('elasticBeamColumn',203+4*i,84+2*i,45+2*i,5341, 206000e5, 0.79e5, 38720129,19360065,19360065, IDRTransf)
211 |     ops.element('elasticBeamColumn',204+4*i,84+2*i,68+2*i,5341, 206000e5, 0.79e5, 38720129,19360065,19360065, IDRTransf)
212 | 
213 | print("****************************************","PT","****************************************")
214 | ops.element('truss',229,20,83,6359,IDPT)
215 | ops.element('truss',230,61,84,6359,IDPT)
216 | ops.element('truss',231,23,95,6359,IDPT)
217 | ops.element('truss',232,64,96,6359,IDPT)
218 | 
219 | for i in range(6):
220 |     ops.element('truss',233+4*i,83+2*i,85+2*i,6358,IDPT)
221 |     ops.element('truss',234+4*i,84+2*i,86+2*i,6358,IDPT)
222 | 
223 | print("****************************************","ShellMITC4","****************************************")
224 | ops.element('ShellMITC4', 301, 1,2,26,25, PlateFiber)
225 | ops.element('ShellMITC4', 302, 2,3,20,19, PlateFiber)
226 | ops.element('ShellMITC4', 303, 19,20,27,26, PlateFiber)
227 | ops.element('ShellMITC4', 304, 25,27,44,43, PlateFiber)
228 | ops.element('ShellMITC4', 305, 43,44,61,60, PlateFiber)
229 | ops.element('ShellMITC4', 306, 60,61,67,66, PlateFiber)
230 | ops.element('ShellMITC4', 307, 3,4,28,27, PlateFiber)
231 | ops.element('ShellMITC4', 308, 27,28,45,44, PlateFiber)
232 | ops.element('ShellMITC4', 309, 44,45,68,67, PlateFiber)
233 | 
234 | for i in range(12):
235 |     ops.element('ShellMITC4', 310+3*i, 4+i,5+i,29+i,28+i, PlateFiber)
236 |     ops.element('ShellMITC4', 311+3*i, 28+i,29+i,46+i,45+i, PlateFiber)
237 |     ops.element('ShellMITC4', 312+3*i, 45+i,46+i,69+i,68+i, PlateFiber)
238 | 
239 | for i in range(2):
240 |     ops.element('ShellMITC4', 346+3*i, 16+i,17+i,41+i,40+i, PlateFiber)
241 |     ops.element('ShellMITC4', 347+3*i, 40+i,41+i,58+i,57+i, PlateFiber)
242 |     ops.element('ShellMITC4', 348+3*i, 57+i,58+i,81+i,80+i, PlateFiber)
243 | 
244 | print("****************************************","Bears","****************************************")
245 | ops.element('twoNodeLink',401,101,1,'-mat',IDBearingZ,IDBearingXY,IDBearingXY,'-dir',1,2,3,'-orient',0,0,1,1,0,0)
246 | ops.element('twoNodeLink',402,125,25,'-mat',IDBearingZ,IDBearingXY,IDBearingXY,'-dir',1,2,3,'-orient',0,0,1,1,0,0)
247 | ops.element('twoNodeLink',403,143,43,'-mat',IDBearingZ,IDBearingXY,IDBearingXY,'-dir',1,2,3,'-orient',0,0,1,1,0,0)
248 | ops.element('twoNodeLink',404,166,66,'-mat',IDBearingZ,IDBearingXY,IDBearingXY,'-dir',1,2,3,'-orient',0,0,1,1,0,0)
249 | 
250 | ops.element('twoNodeLink',405,18,118,'-mat',IDXX,IDZZ,'-dir',1,3)
251 | ops.element('twoNodeLink',406,42,142,'-mat',IDXX,IDZZ,'-dir',1,3)
252 | ops.element('twoNodeLink',407,59,159,'-mat',IDXX,IDZZ,'-dir',1,3)
253 | ops.element('twoNodeLink',408,82,182,'-mat',IDXX,IDZZ,'-dir',1,3)
254 | 
255 | print("****************************************","TMD","****************************************")
256 | IDViscous=10
257 | C_damper=0.5388553894571203
258 | ops.uniaxialMaterial('Viscous', IDViscous, C_damper, 1)
259 | 
260 | IDElastic=11
261 | K_damper=125.10758910984865
262 | ops.uniaxialMaterial('Elastic', IDElastic, K_damper, 0.0, K_damper)
263 | 
264 | M_damper=0.9693023255813954
265 | 
266 | ops.node(133,19566.64,-1600,-500)
267 | ops.node(150,19566.64,-3200,-500)
268 | ops.node(134,22066.64,-1600,-500)
269 | ops.node(151,22066.64,-3200,-500)
270 | ops.node(135,24566.64,-1600,-500)
271 | ops.node(152,24566.64,-3200,-500)
272 | 
273 | ops.mass(133,0,0,M_damper,0,0,0)
274 | ops.mass(150,0,0,M_damper,0,0,0)
275 | ops.mass(134,0,0,M_damper,0,0,0)
276 | ops.mass(151,0,0,M_damper,0,0,0)
277 | ops.mass(135,0,0,M_damper,0,0,0)
278 | ops.mass(152,0,0,M_damper,0,0,0)
279 | 
280 | ops.fix(133,1,1,0,1,1,1)
281 | ops.fix(150,1,1,0,1,1,1)
282 | ops.fix(134,1,1,0,1,1,1)
283 | ops.fix(151,1,1,0,1,1,1)
284 | ops.fix(135,1,1,0,1,1,1)
285 | ops.fix(152,1,1,0,1,1,1)
286 | 
287 | ops.element('twoNodeLink',501,33,133,'-mat',IDViscous ,'-dir',1,'-orient',0,0,1,1,0,0)
288 | ops.element('twoNodeLink',502,33,133,'-mat',IDElastic ,'-dir',1,'-orient',0,0,1,1,0,0)
289 | ops.element('twoNodeLink',503,50,150,'-mat',IDViscous ,'-dir',1,'-orient',0,0,1,1,0,0)
290 | ops.element('twoNodeLink',504,50,150,'-mat',IDElastic ,'-dir',1,'-orient',0,0,1,1,0,0)
291 | 
292 | ops.element('twoNodeLink',505,34,134,'-mat',IDViscous ,'-dir',1,'-orient',0,0,1,1,0,0)
293 | ops.element('twoNodeLink',506,34,134,'-mat',IDElastic ,'-dir',1,'-orient',0,0,1,1,0,0)
294 | ops.element('twoNodeLink',507,51,151,'-mat',IDViscous ,'-dir',1,'-orient',0,0,1,1,0,0)
295 | ops.element('twoNodeLink',508,51,151,'-mat',IDElastic ,'-dir',1,'-orient',0,0,1,1,0,0)
296 | 
297 | ops.element('twoNodeLink',509,35,135,'-mat',IDViscous ,'-dir',1,'-orient',0,0,1,1,0,0)
298 | ops.element('twoNodeLink',510,35,135,'-mat',IDElastic ,'-dir',1,'-orient',0,0,1,1,0,0)
299 | ops.element('twoNodeLink',511,52,152,'-mat',IDViscous ,'-dir',1,'-orient',0,0,1,1,0,0)
300 | ops.element('twoNodeLink',512,52,152,'-mat',IDElastic ,'-dir',1,'-orient',0,0,1,1,0,0)
301 | 
302 | print("****************************************","Model_View","****************************************")
303 | vfo.plot_model(show_nodes='yes', show_nodetags='yes',show_eletags='no', line_width=1)
304 | #
305 | # from ModeAnalyze import *
306 | # modal(10)
307 | print("****************************************","Rayleigh","****************************************")
308 | xDamper=0.02
309 | nEigenI=1
310 | nEigenJ=2
311 | lambdaN=ops.eigen('fullGenLapack',nEigenJ)
312 | lambdaI=lambdaN[nEigenJ-2]
313 | lambdaJ=lambdaN[nEigenJ-1]
314 | omegaI=math.pow(lambdaI,0.5)
315 | omegaJ=math.pow(lambdaJ,0.5)
316 | alphaM=xDamper*(2*omegaI*omegaJ)/(omegaI+omegaJ)
317 | betaKcomm=2.0*xDamper/(omegaI+omegaJ)
318 | ops.rayleigh(alphaM,0,0,betaKcomm)
319 | 
320 | print("****************************************","Load","****************************************")
321 | ops.timeSeries('Linear', 11)
322 | ops.pattern('Plain', 100,11)
323 | Node_Mass=np.loadtxt("Mass.txt")
324 | Len_Mass=Node_Mass.shape[0]
325 | for i in range(Len_Mass):
326 |     ops.load(i+1,0,0,Node_Mass[i]*10000,0,0,0)
327 | ops.constraints("Penalty",1e5,1e5)
328 | ops.numberer("RCM")
329 | # ops.system('BandGen')
330 | ops.system('UmfPack')
331 | ops.test('NormDispIncr', 1.e-5, 2000)
332 | # ops.algorithm("KrylovNewton")
333 | ops.algorithm('NewtonLineSearch')
334 | ops.integrator("LoadControl",0.1)
335 | ops.analysis("Static")
336 | ops.analyze(10)
337 | ops.loadConst("-time",0.0)
338 | 
339 | ops.recorder('Node', '-file', "Disp134.txt","-time",'-node', 134, '-dof',3, 'disp')
340 | ops.recorder('Node', '-file', "Disp34.txt","-time",'-node', 34, '-dof',3, 'disp')
341 | ops.recorder('Node', '-file', "ACC34.txt","-time",'-node', 34, '-dof',3, 'accel')
342 | ops.recorder('Node', '-file', "ACC51.txt","-time",'-node', 51, '-dof',3, 'accel')
343 | ops.wipeAnalysis()
344 | ops.timeSeries('Path', 22, '-dt', 0.01, '-filePath','Load.txt', '-factor',2.5)
345 | ops.pattern("Plain", 200,22)
346 | for i in range(82):
347 |     ops.load(i+1,0,0,1,0,0,0)
348 |     ops.load(i+1,0,0,1,0,0,0)
349 | ops.constraints("Penalty",1e5,1e5)
350 | ops.numberer('RCM')
351 | ops.system('UmfPack')
352 | ops.test("NormDispIncr",1.e-5,2000)
353 | ops.algorithm('KrylovNewton')
354 | # ops.algorithm('ExpressNewton', 2, 1.0, '-currentTangent', '-factorOnce')
355 | # ops.algorithm('NewtonLineSearch',0.75)
356 | ops.integrator('Newmark', 0.5, 0.25)
357 | ops.analysis('Transient')
358 | ops.analyze(3000,0.01)
359 | 
360 | 


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/遗传算法求解/__pycache__/bridge.cpython-39.pyc:
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https://raw.githubusercontent.com/AshenOneme/Structural-optimization-based-on-genetic-algorithm/7b82a42745d3c5f60f63550d96c53ae4e3d91e05/遗传算法求解/__pycache__/bridge.cpython-39.pyc


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/遗传算法求解/bridge.py:
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  1 | # -*- coding: UTF-8 -*-
  2 | import openseespy.opensees as ops
  3 | import vfo.vfo as vfo
  4 | import matplotlib.pyplot as plt
  5 | import math
  6 | import numpy as np
  7 | import geatpy as ea
  8 | from mpi4py import MPI
  9 | 
 10 | class MyProblem(ea.Problem):  # 继承Problem父类
 11 |     def __init__(self):
 12 |         name = 'MyProblem'  # 初始化name（函数名称，可以随意设置）
 13 |         M = 1  # 初始化M（目标维数）
 14 |         maxormins = [1]*M  # 初始化maxormins（目标最小最大化标记列表，1：最小化该目标；-1：最大化该目标）
 15 |         Dim = 3  # 初始化Dim（决策变量维数）
 16 |         varTypes = [0] * Dim  # 初始化varTypes（决策变量的类型，元素为0表示对应的变量是连续的；1表示是离散的）
 17 |         lb =[0.01,0.01,0.01]    # 决策变量下界
 18 |         ub =[100,500,1]  # 决策变量上界
 19 |         lbin = [1] * Dim  # 决策变量下边界
 20 |         ubin = [1] * Dim  # 决策变量上边界
 21 |         self.out_ObjV = np.array([])
 22 |         self.out_Phen = np.empty([0, Dim])
 23 |         self.comm = MPI.COMM_WORLD
 24 |         self.size = self.comm.Get_size()
 25 |         self.rank = self.comm.Get_rank()
 26 | 
 27 |         # 调用父类构造方法完成实例化
 28 |         ea.Problem.__init__(self, name, M, maxormins, Dim, varTypes, lb, ub, lbin, ubin)
 29 | 
 30 |     def aimFunc(self, pop):  # 目标函数
 31 |         x1 = pop.Phen[:, [0]] # 获取表现型矩阵的第一列，得到所有个体的x1的值
 32 |         x2 = pop.Phen[:, [1]]
 33 |         x3 = pop.Phen[:, [2]]
 34 |         accel_temp = np.array([])
 35 |         for s in range(len(x1)):
 36 |             ops.wipe()
 37 |             ops.model('basic', '-ndm', 3, '-ndf', 6)
 38 | 
 39 |             print("****************************************", "Material", "****************************************")
 40 |             IDSteel = 1
 41 |             Fy_Steel = 360
 42 |             E0_Steel = 210000
 43 |             bs_Steel = 0.005
 44 |             R0 = 12.5
 45 |             cR1 = 0.925
 46 |             cR2 = 0.15
 47 |             ops.uniaxialMaterial('Steel02', IDSteel, Fy_Steel, E0_Steel, bs_Steel, R0, cR1, cR2)
 48 | 
 49 |             IDPT = 2
 50 |             Fy_PT = 1860
 51 |             E0_PT = 210000
 52 |             bs_PT = 0.001
 53 |             R0 = 18
 54 |             cR1 = 0.925
 55 |             cR2 = 0.15
 56 |             a1 = 0
 57 |             a2 = 1
 58 |             a3 = 0
 59 |             a4 = 1
 60 |             sigInit = 188.71
 61 |             ops.uniaxialMaterial('Steel02', IDPT, Fy_PT, E0_PT, bs_PT, R0, cR1, cR2, a1, a2, a3, a4, sigInit)
 62 | 
 63 |             IDConcrete = 3
 64 |             fpc = -40
 65 |             epsc0 = -0.0024
 66 |             fpcu = -18
 67 |             epsU = -0.006
 68 |             ops.uniaxialMaterial('Concrete01', IDConcrete, fpc, epsc0, fpcu, epsU)
 69 | 
 70 |             IDPlate = 4
 71 |             ops.nDMaterial('ElasticIsotropic', IDPlate, 32500, 0.2, 0)
 72 | 
 73 |             IDFiber_Plate = 5
 74 |             ops.nDMaterial('PlateFiber', IDFiber_Plate, IDPlate)
 75 | 
 76 |             IDBearingZ = 6
 77 |             ops.uniaxialMaterial('Elastic', IDBearingZ, 1900000)
 78 | 
 79 |             IDBearingXY = 7
 80 |             ops.uniaxialMaterial('Elastic', IDBearingXY, 13640)
 81 | 
 82 |             IDXX = 8
 83 |             ops.uniaxialMaterial('ElasticPP', IDXX, 1000, 100000, -100000, 0)
 84 | 
 85 |             IDZZ = 9
 86 |             ops.uniaxialMaterial('ElasticPP', IDZZ, 1000e10, 2000000, -200000, 0)
 87 |             print("****************************************", "Section", "****************************************")
 88 |             Fiber_X_Section = 1
 89 |             ops.section('Fiber', Fiber_X_Section, '-GJ', 1e15)
 90 |             ops.patch('rect', IDSteel, 1, 4, -400, -150, -370, 150)
 91 |             ops.patch('rect', IDSteel, 4, 1, -370, -150, 370, -125)
 92 |             ops.patch('rect', IDSteel, 4, 1, -370, 125, 370, 150)
 93 |             ops.patch('rect', IDSteel, 1, 4, 370, -150, 400, 150)
 94 | 
 95 |             Fiber_Y_Section = 2
 96 |             HI = 368
 97 |             WI = 250
 98 |             cx = 16
 99 |             cy = 12
100 |             A = [-HI / 2 - cx, -WI / 2]
101 |             B = [-HI / 2, WI / 2]
102 |             C = [-HI / 2, -cy / 2]
103 |             D = [HI / 2, cy / 2]
104 |             E = [HI / 2, -WI / 2]
105 |             F = [HI / 2 + cx, WI / 2]
106 |             ops.section('Fiber', Fiber_Y_Section, '-GJ', 1e15)
107 |             ops.patch('rect', IDSteel, 1, 4, A[0], A[1], B[0], B[1])
108 |             ops.patch('rect', IDSteel, 4, 1, C[0], C[1], D[0], D[1])
109 |             ops.patch('rect', IDSteel, 1, 4, E[0], E[1], F[0], F[1])
110 | 
111 |             R90 = 3
112 |             nc1, nr1 = 8, 1
113 |             ri1, re1 = 90, 80
114 |             a_beg1, a_end1 = 0., 360.
115 |             ops.section('Fiber', R90, '-GJ', 1e15)
116 |             ops.patch('circ', IDSteel, nc1, nr1, 0., 0., ri1, re1, a_beg1, a_end1)
117 | 
118 |             PlateFiber = 4
119 |             ops.section('PlateFiber', PlateFiber, IDFiber_Plate, 120)
120 | 
121 |             print("****************************************", "Node", "****************************************")
122 |             Node_Messages = np.loadtxt("Node_Messages.txt")
123 |             Len_Node = Node_Messages.shape[0]
124 |             for i in range(Len_Node):
125 |                 ops.node(i + 1, Node_Messages[i, 0], Node_Messages[i, 1], Node_Messages[i, 2])
126 | 
127 |             Node_Mass = np.loadtxt("Mass.txt")
128 |             Len_Mass = Node_Mass.shape[0]
129 |             for i in range(Len_Mass):
130 |                 ops.mass(i + 1, Node_Mass[i], Node_Mass[i], Node_Mass[i], 0, 0, 0)
131 | 
132 |             ops.node(101, 0, 0, -400)
133 |             ops.node(125, 1152.1, -1600, -400)
134 |             ops.node(143, 2304.21, -3200, -400)
135 |             ops.node(166, 3456.32, -4800, -400)
136 | 
137 |             ops.fix(101, 1, 1, 1, 1, 1, 1)
138 |             ops.fix(125, 1, 1, 1, 1, 1, 1)
139 |             ops.fix(143, 1, 1, 1, 1, 1, 1)
140 |             ops.fix(166, 1, 1, 1, 1, 1, 1)
141 | 
142 |             # =========================================================================================================
143 |             ops.node(118, 40480.15, 0, 0)
144 |             ops.node(142, 40951.1, -1600, 0)
145 |             ops.node(159, 41422.05, -3200, 0)
146 |             ops.node(182, 41892.99, -4800, 0)
147 | 
148 |             ops.fix(18, 0, 1, 0, 0, 0, 0)
149 |             ops.fix(42, 0, 1, 0, 0, 0, 0)
150 |             ops.fix(59, 0, 1, 0, 0, 0, 0)
151 |             ops.fix(82, 0, 1, 0, 0, 0, 0)
152 | 
153 |             ops.fix(118, 1, 1, 1, 1, 1, 1)
154 |             ops.fix(142, 1, 1, 1, 1, 1, 1)
155 |             ops.fix(159, 1, 1, 1, 1, 1, 1)
156 |             ops.fix(182, 1, 1, 1, 1, 1, 1)
157 | 
158 |             print("****************************************", "coordTransf", "****************************************")
159 |             coordTransf = "PDelta"  # Linear, PDelta, Corotational
160 |             IDXTransf = 1
161 |             ops.geomTransf(coordTransf, IDXTransf, 0, 0, 1)
162 |             IDYTransf = 2
163 |             ops.geomTransf(coordTransf, IDYTransf, 0, 0, 1)
164 |             IDRTransf = 3
165 |             ops.geomTransf(coordTransf, IDRTransf, 1, 0, 0)
166 | 
167 |             print("****************************************", "beamIntegration",
168 |                   "****************************************")
169 |             IDXIntegration = 1
170 |             ops.beamIntegration('Trapezoidal', IDXIntegration, Fiber_X_Section, 4)
171 |             IDYIntegration = 2
172 |             ops.beamIntegration('Trapezoidal', IDYIntegration, Fiber_Y_Section, 4)
173 |             IDRIntegration = 3
174 |             ops.beamIntegration('Trapezoidal', IDRIntegration, R90, 4)
175 | 
176 |             print("****************************************", "X", "****************************************")
177 |             for i in range(17):
178 |                 ops.element('forceBeamColumn', i + 1, i + 1, i + 2, IDXTransf, IDXIntegration)
179 | 
180 |             ops.element('forceBeamColumn', 18, 19, 20, IDXTransf, IDXIntegration)
181 |             ops.element('forceBeamColumn', 19, 20, 21, IDXTransf, IDXIntegration)
182 |             ops.element('forceBeamColumn', 20, 22, 23, IDXTransf, IDXIntegration)
183 |             ops.element('forceBeamColumn', 21, 23, 24, IDXTransf, IDXIntegration)
184 | 
185 |             for i in range(17):
186 |                 ops.element('forceBeamColumn', i + 22, i + 25, i + 26, IDXTransf, IDXIntegration)
187 | 
188 |             for i in range(16):
189 |                 ops.element('forceBeamColumn', i + 39, i + 43, i + 44, IDXTransf, IDXIntegration)
190 | 
191 |             ops.element('forceBeamColumn', 55, 60, 61, IDXTransf, IDXIntegration)
192 |             ops.element('forceBeamColumn', 56, 61, 62, IDXTransf, IDXIntegration)
193 |             ops.element('forceBeamColumn', 57, 63, 64, IDXTransf, IDXIntegration)
194 |             ops.element('forceBeamColumn', 58, 64, 65, IDXTransf, IDXIntegration)
195 | 
196 |             for i in range(16):
197 |                 ops.element('forceBeamColumn', i + 59, i + 66, i + 67, IDXTransf, IDXIntegration)
198 | 
199 |             print("****************************************", "Y", "****************************************")
200 |             ops.element('forceBeamColumn', 101, 1, 25, IDYTransf, IDYIntegration)
201 |             ops.element('forceBeamColumn', 102, 25, 43, IDYTransf, IDYIntegration)
202 |             ops.element('forceBeamColumn', 103, 43, 60, IDYTransf, IDYIntegration)
203 |             ops.element('forceBeamColumn', 104, 60, 66, IDYTransf, IDYIntegration)
204 |             ops.element('forceBeamColumn', 105, 2, 19, IDYTransf, IDYIntegration)
205 |             ops.element('forceBeamColumn', 106, 19, 26, IDYTransf, IDYIntegration)
206 | 
207 |             ops.element('forceBeamColumn', 107, 3, 20, IDYTransf, IDYIntegration)
208 |             ops.element('forceBeamColumn', 108, 20, 27, IDYTransf, IDYIntegration)
209 |             ops.element('forceBeamColumn', 109, 27, 44, IDYTransf, IDYIntegration)
210 |             ops.element('forceBeamColumn', 110, 44, 61, IDYTransf, IDYIntegration)
211 |             ops.element('forceBeamColumn', 111, 61, 67, IDYTransf, IDYIntegration)
212 |             ops.element('forceBeamColumn', 112, 4, 21, IDYTransf, IDYIntegration)
213 |             ops.element('forceBeamColumn', 113, 21, 28, IDYTransf, IDYIntegration)
214 |             ops.element('forceBeamColumn', 114, 28, 45, IDYTransf, IDYIntegration)
215 |             ops.element('forceBeamColumn', 115, 45, 62, IDYTransf, IDYIntegration)
216 |             ops.element('forceBeamColumn', 116, 62, 68, IDYTransf, IDYIntegration)
217 | 
218 |             for i in range(11):
219 |                 ops.element('forceBeamColumn', 117 + i * 3, 5 + i, 29 + i, IDYTransf, IDYIntegration)
220 |                 ops.element('forceBeamColumn', 118 + i * 3, 29 + i, 46 + i, IDYTransf, IDYIntegration)
221 |                 ops.element('forceBeamColumn', 119 + i * 3, 46 + i, 69 + i, IDYTransf, IDYIntegration)
222 | 
223 |             for i in range(3):
224 |                 ops.element('forceBeamColumn', 150 + i * 5, 16 + i, 22 + i, IDYTransf, IDYIntegration)
225 |                 ops.element('forceBeamColumn', 151 + i * 5, 22 + i, 40 + i, IDYTransf, IDYIntegration)
226 |                 ops.element('forceBeamColumn', 152 + i * 5, 40 + i, 57 + i, IDYTransf, IDYIntegration)
227 |                 ops.element('forceBeamColumn', 153 + i * 5, 57 + i, 63 + i, IDYTransf, IDYIntegration)
228 |                 ops.element('forceBeamColumn', 154 + i * 5, 63 + i, 80 + i, IDYTransf, IDYIntegration)
229 | 
230 |             print("****************************************", "Rod Piece", "****************************************")
231 |             # for i in range(7):
232 |             #     ops.element('forceBeamColumn', 201+4*i,83+2*i,4+2*i, IDRTransf, IDRIntegration)
233 |             #     ops.element('forceBeamColumn', 202+4*i,83+2*i,28+2*i, IDRTransf, IDRIntegration)
234 |             #     ops.element('forceBeamColumn', 203+4*i,84+2*i,45+2*i, IDRTransf, IDRIntegration)
235 |             #     ops.element('forceBeamColumn', 204+4*i,84+2*i,68+2*i, IDRTransf, IDRIntegration)
236 |             for i in range(7):
237 |                 ops.element('elasticBeamColumn', 201 + 4 * i, 83 + 2 * i, 4 + 2 * i, 5341, 206000e5, 0.79e5, 38720129,
238 |                             19360065, 19360065, IDRTransf)
239 |                 ops.element('elasticBeamColumn', 202 + 4 * i, 83 + 2 * i, 28 + 2 * i, 5341, 206000e5, 0.79e5, 38720129,
240 |                             19360065, 19360065, IDRTransf)
241 |                 ops.element('elasticBeamColumn', 203 + 4 * i, 84 + 2 * i, 45 + 2 * i, 5341, 206000e5, 0.79e5, 38720129,
242 |                             19360065, 19360065, IDRTransf)
243 |                 ops.element('elasticBeamColumn', 204 + 4 * i, 84 + 2 * i, 68 + 2 * i, 5341, 206000e5, 0.79e5, 38720129,
244 |                             19360065, 19360065, IDRTransf)
245 | 
246 |             print("****************************************", "PT", "****************************************")
247 |             ops.element('truss', 229, 20, 83, 6359, IDPT)
248 |             ops.element('truss', 230, 61, 84, 6359, IDPT)
249 |             ops.element('truss', 231, 23, 95, 6359, IDPT)
250 |             ops.element('truss', 232, 64, 96, 6359, IDPT)
251 | 
252 |             for i in range(6):
253 |                 ops.element('truss', 233 + 4 * i, 83 + 2 * i, 85 + 2 * i, 6358, IDPT)
254 |                 ops.element('truss', 234 + 4 * i, 84 + 2 * i, 86 + 2 * i, 6358, IDPT)
255 | 
256 |             print("****************************************", "ShellMITC4", "****************************************")
257 |             ops.element('ShellMITC4', 301, 1, 2, 26, 25, PlateFiber)
258 |             ops.element('ShellMITC4', 302, 2, 3, 20, 19, PlateFiber)
259 |             ops.element('ShellMITC4', 303, 19, 20, 27, 26, PlateFiber)
260 |             ops.element('ShellMITC4', 304, 25, 27, 44, 43, PlateFiber)
261 |             ops.element('ShellMITC4', 305, 43, 44, 61, 60, PlateFiber)
262 |             ops.element('ShellMITC4', 306, 60, 61, 67, 66, PlateFiber)
263 |             ops.element('ShellMITC4', 307, 3, 4, 28, 27, PlateFiber)
264 |             ops.element('ShellMITC4', 308, 27, 28, 45, 44, PlateFiber)
265 |             ops.element('ShellMITC4', 309, 44, 45, 68, 67, PlateFiber)
266 | 
267 |             for i in range(12):
268 |                 ops.element('ShellMITC4', 310 + 3 * i, 4 + i, 5 + i, 29 + i, 28 + i, PlateFiber)
269 |                 ops.element('ShellMITC4', 311 + 3 * i, 28 + i, 29 + i, 46 + i, 45 + i, PlateFiber)
270 |                 ops.element('ShellMITC4', 312 + 3 * i, 45 + i, 46 + i, 69 + i, 68 + i, PlateFiber)
271 | 
272 |             for i in range(2):
273 |                 ops.element('ShellMITC4', 346 + 3 * i, 16 + i, 17 + i, 41 + i, 40 + i, PlateFiber)
274 |                 ops.element('ShellMITC4', 347 + 3 * i, 40 + i, 41 + i, 58 + i, 57 + i, PlateFiber)
275 |                 ops.element('ShellMITC4', 348 + 3 * i, 57 + i, 58 + i, 81 + i, 80 + i, PlateFiber)
276 | 
277 |             print("****************************************", "Bears", "****************************************")
278 |             ops.element('twoNodeLink', 401, 101, 1, '-mat', IDBearingZ, IDBearingXY, IDBearingXY, '-dir', 1, 2, 3,
279 |                         '-orient', 0, 0, 1, 1, 0, 0)
280 |             ops.element('twoNodeLink', 402, 125, 25, '-mat', IDBearingZ, IDBearingXY, IDBearingXY, '-dir', 1, 2, 3,
281 |                         '-orient', 0, 0, 1, 1, 0, 0)
282 |             ops.element('twoNodeLink', 403, 143, 43, '-mat', IDBearingZ, IDBearingXY, IDBearingXY, '-dir', 1, 2, 3,
283 |                         '-orient', 0, 0, 1, 1, 0, 0)
284 |             ops.element('twoNodeLink', 404, 166, 66, '-mat', IDBearingZ, IDBearingXY, IDBearingXY, '-dir', 1, 2, 3,
285 |                         '-orient', 0, 0, 1, 1, 0, 0)
286 | 
287 |             ops.element('twoNodeLink', 405, 18, 118, '-mat', IDXX, IDZZ, '-dir', 1, 3)
288 |             ops.element('twoNodeLink', 406, 42, 142, '-mat', IDXX, IDZZ, '-dir', 1, 3)
289 |             ops.element('twoNodeLink', 407, 59, 159, '-mat', IDXX, IDZZ, '-dir', 1, 3)
290 |             ops.element('twoNodeLink', 408, 82, 182, '-mat', IDXX, IDZZ, '-dir', 1, 3)
291 | 
292 |             print("****************************************", "TMD", "****************************************")
293 |             IDViscous = 10
294 |             C_damper = x1[s,:][0]
295 |             ops.uniaxialMaterial('Viscous', IDViscous, C_damper, 1)
296 | 
297 |             IDElastic = 11
298 |             K_damper = x2[s,:][0]
299 |             ops.uniaxialMaterial('Elastic', IDElastic, K_damper, 0.0, K_damper)
300 | 
301 |             M_damper = x3[s,:][0]
302 | 
303 |             ops.node(133, 19566.64, -1600, -500)
304 |             ops.node(150, 19566.64, -3200, -500)
305 |             ops.node(134, 22066.64, -1600, -500)
306 |             ops.node(151, 22066.64, -3200, -500)
307 |             ops.node(135, 24566.64, -1600, -500)
308 |             ops.node(152, 24566.64, -3200, -500)
309 | 
310 |             ops.mass(133, 0, 0, M_damper, 0, 0, 0)
311 |             ops.mass(150, 0, 0, M_damper, 0, 0, 0)
312 |             ops.mass(134, 0, 0, M_damper, 0, 0, 0)
313 |             ops.mass(151, 0, 0, M_damper, 0, 0, 0)
314 |             ops.mass(135, 0, 0, M_damper, 0, 0, 0)
315 |             ops.mass(152, 0, 0, M_damper, 0, 0, 0)
316 | 
317 |             ops.fix(133, 1, 1, 0, 1, 1, 1)
318 |             ops.fix(150, 1, 1, 0, 1, 1, 1)
319 |             ops.fix(134, 1, 1, 0, 1, 1, 1)
320 |             ops.fix(151, 1, 1, 0, 1, 1, 1)
321 |             ops.fix(135, 1, 1, 0, 1, 1, 1)
322 |             ops.fix(152, 1, 1, 0, 1, 1, 1)
323 | 
324 |             ops.element('twoNodeLink', 501, 33, 133, '-mat', IDViscous, '-dir', 1, '-orient', 0, 0, 1, 1, 0, 0)
325 |             ops.element('twoNodeLink', 502, 33, 133, '-mat', IDElastic, '-dir', 1, '-orient', 0, 0, 1, 1, 0, 0)
326 |             ops.element('twoNodeLink', 503, 50, 150, '-mat', IDViscous, '-dir', 1, '-orient', 0, 0, 1, 1, 0, 0)
327 |             ops.element('twoNodeLink', 504, 50, 150, '-mat', IDElastic, '-dir', 1, '-orient', 0, 0, 1, 1, 0, 0)
328 | 
329 |             ops.element('twoNodeLink', 505, 34, 134, '-mat', IDViscous, '-dir', 1, '-orient', 0, 0, 1, 1, 0, 0)
330 |             ops.element('twoNodeLink', 506, 34, 134, '-mat', IDElastic, '-dir', 1, '-orient', 0, 0, 1, 1, 0, 0)
331 |             ops.element('twoNodeLink', 507, 51, 151, '-mat', IDViscous, '-dir', 1, '-orient', 0, 0, 1, 1, 0, 0)
332 |             ops.element('twoNodeLink', 508, 51, 151, '-mat', IDElastic, '-dir', 1, '-orient', 0, 0, 1, 1, 0, 0)
333 | 
334 |             ops.element('twoNodeLink', 509, 35, 135, '-mat', IDViscous, '-dir', 1, '-orient', 0, 0, 1, 1, 0, 0)
335 |             ops.element('twoNodeLink', 510, 35, 135, '-mat', IDElastic, '-dir', 1, '-orient', 0, 0, 1, 1, 0, 0)
336 |             ops.element('twoNodeLink', 511, 52, 152, '-mat', IDViscous, '-dir', 1, '-orient', 0, 0, 1, 1, 0, 0)
337 |             ops.element('twoNodeLink', 512, 52, 152, '-mat', IDElastic, '-dir', 1, '-orient', 0, 0, 1, 1, 0, 0)
338 | 
339 |             print("****************************************", "Model_View", "****************************************")
340 |             # vfo.plot_model(show_nodes='yes', show_nodetags='yes', show_eletags='no', line_width=1)
341 |             #
342 |             # from ModeAnalyze import *
343 |             # modal(10)
344 |             print("****************************************", "Rayleigh", "****************************************")
345 |             xDamper = 0.02
346 |             nEigenI = 1
347 |             nEigenJ = 2
348 |             lambdaN = ops.eigen('-fullGenLapack', nEigenJ)
349 |             lambdaI = lambdaN[nEigenJ - 2]
350 |             lambdaJ = lambdaN[nEigenJ - 1]
351 |             omegaI = math.pow(lambdaI, 0.5)
352 |             omegaJ = math.pow(lambdaJ, 0.5)
353 |             alphaM = xDamper * (2 * omegaI * omegaJ) / (omegaI + omegaJ)
354 |             betaKcomm = 2.0 * xDamper / (omegaI + omegaJ)
355 |             ops.rayleigh(alphaM, 0, 0, betaKcomm)
356 | 
357 |             print("****************************************", "Load", "****************************************")
358 |             ops.timeSeries('Linear', 11)
359 |             ops.pattern('Plain', 100, 11)
360 |             Node_Mass = np.loadtxt("Mass.txt")
361 |             Len_Mass = Node_Mass.shape[0]
362 |             for i in range(Len_Mass):
363 |                 ops.load(i + 1, 0, 0, Node_Mass[i] * 10000, 0, 0, 0)
364 |             ops.constraints("Penalty", 1e5, 1e5)
365 |             ops.numberer("RCM")
366 |             # ops.system('BandGen')
367 |             ops.system('UmfPack')
368 |             ops.test('NormDispIncr', 1.e-5, 2000)
369 |             # ops.algorithm("KrylovNewton")
370 |             ops.algorithm('NewtonLineSearch')
371 |             ops.integrator("LoadControl", 0.1)
372 |             ops.analysis("Static")
373 |             ops.analyze(10)
374 |             ops.loadConst("-time", 0.0)
375 | 
376 |             ops.recorder('Node', '-file', "Disp134.txt", "-time", '-node', 134, '-dof', 3, 'disp')
377 |             ops.recorder('Node', '-file', "Disp34.txt", "-time", '-node', 34, '-dof', 3, 'disp')
378 |             ops.recorder('Node', '-file', "ACC34.txt", "-time", '-node', 34, '-dof', 3, 'accel')
379 |             ops.recorder('Node', '-file', "ACC51.txt", "-time", '-node', 51, '-dof', 3, 'accel')
380 |             ops.wipeAnalysis()
381 |             ops.timeSeries('Path', 22, '-dt', 0.01, '-filePath', 'Load.txt', '-factor',
382 |                            2.5)
383 |             ops.pattern("Plain", 200, 22)
384 |             for i in range(82):
385 |                 ops.load(i + 1, 0, 0, 1, 0, 0, 0)
386 |                 ops.load(i + 1, 0, 0, 1, 0, 0, 0)
387 |             ops.constraints("Penalty", 1e5, 1e5)
388 |             ops.numberer('RCM')
389 |             ops.system('UmfPack')
390 |             ops.test("NormDispIncr", 1.e-5, 1000)
391 |             # ops.algorithm('KrylovNewton')
392 |             # ops.algorithm('ExpressNewton', 2, 1.0, '-currentTangent', '-factorOnce')
393 |             ops.algorithm('NewtonLineSearch',0.75)
394 |             ops.integrator('Newmark', 0.5, 0.25)
395 |             ops.analysis('Transient')
396 |             ops.analyze(1000, 0.01)
397 |             ops.wipe()
398 |             accel = np.loadtxt("ACC34.txt", usecols=1)
399 |             a = np.mean(np.abs(accel))
400 |             accel_temp = np.append(accel_temp, a)
401 |         pop.ObjV =accel_temp.reshape(-1, 1)
402 |         out_temp = np.min(pop.ObjV)
403 |         NO = np.argmin(pop.ObjV)
404 |         self.out_ObjV = np.append(self.out_ObjV, out_temp)
405 |         out_temp = pop.Phen[NO, :].reshape(1, 3)
406 |         self.out_Phen = np.append(self.out_Phen, out_temp, axis=0)
407 | 
408 | 
409 | 
410 | 
411 | 


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/遗传算法求解/result of job 2023-01-29 14h-50m-16s/Trace Plot.svg:
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/遗传算法求解/result of job 2023-01-29 14h-50m-16s/algorithm info.txt:
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1 | {'Algorithm Name': 'EGA', 'Algorithm MAXGEN': 20, 'Algorithm MAXTIME': None, 'Algorithm MAXEVALS': None, 'Algorithm trappedValue': 0, 'Algorithm maxTrappedCount': 1000}


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/遗传算法求解/result of job 2023-01-29 14h-50m-16s/optPop/Chrom.csv:
--------------------------------------------------------------------------------
1 | 0.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00,1.000000000000000000e+00,0.000000000000000000e+00,1.000000000000000000e+00,0.000000000000000000e+00,1.000000000000000000e+00,1.000000000000000000e+00,0.000000000000000000e+00,1.000000000000000000e+00,0.000000000000000000e+00,1.000000000000000000e+00,0.000000000000000000e+00,1.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00,1.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00,1.000000000000000000e+00,1.000000000000000000e+00,0.000000000000000000e+00,1.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00,1.000000000000000000e+00,1.000000000000000000e+00,1.000000000000000000e+00,1.000000000000000000e+00,1.000000000000000000e+00,1.000000000000000000e+00,1.000000000000000000e+00,1.000000000000000000e+00,1.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00,1.000000000000000000e+00,1.000000000000000000e+00
2 | 


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/遗传算法求解/result of job 2023-01-29 14h-50m-16s/optPop/Encoding.txt:
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1 | BG


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/遗传算法求解/result of job 2023-01-29 14h-50m-16s/optPop/Field.csv:
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1 | 2.000000000000000000e+01,2.300000000000000000e+01,1.400000000000000000e+01
2 | 1.000000000000000021e-02,1.000000000000000021e-02,1.000000000000000021e-02
3 | 1.000000000000000000e+02,5.000000000000000000e+02,1.000000000000000000e+00
4 | 0.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00
5 | 0.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00
6 | 1.000000000000000000e+00,1.000000000000000000e+00,1.000000000000000000e+00
7 | 1.000000000000000000e+00,1.000000000000000000e+00,1.000000000000000000e+00
8 | 0.000000000000000000e+00,0.000000000000000000e+00,0.000000000000000000e+00
9 | 


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/遗传算法求解/result of job 2023-01-29 14h-50m-16s/optPop/FitnV.csv:
--------------------------------------------------------------------------------
1 | 6.101437131540001246e+02
2 | 


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/遗传算法求解/result of job 2023-01-29 14h-50m-16s/optPop/ObjV.csv:
--------------------------------------------------------------------------------
1 | 2.075934929719999786e+02
2 | 


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/遗传算法求解/result of job 2023-01-29 14h-50m-16s/optPop/Phen.csv:
--------------------------------------------------------------------------------
1 | 5.388553894571203040e-01,1.251075891098486466e+02,9.693023255813953964e-01
2 | 


--------------------------------------------------------------------------------
/遗传算法求解/result of job 2023-01-29 14h-50m-16s/population info.txt:
--------------------------------------------------------------------------------
1 | {'Population Info': {'Type': 'Population', 'Population Encoding:': 'BG', 'Population ChromNum': 1, 'Population Field:': array([[2.0e+01, 2.3e+01, 1.4e+01],
2 |        [1.0e-02, 1.0e-02, 1.0e-02],
3 |        [1.0e+02, 5.0e+02, 1.0e+00],
4 |        [0.0e+00, 0.0e+00, 0.0e+00],
5 |        [0.0e+00, 0.0e+00, 0.0e+00],
6 |        [1.0e+00, 1.0e+00, 1.0e+00],
7 |        [1.0e+00, 1.0e+00, 1.0e+00],
8 |        [0.0e+00, 0.0e+00, 0.0e+00]]), 'Population size:': 25}}


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/遗传算法求解/result of job 2023-01-29 14h-50m-16s/problem info.txt:
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1 | {'name': 'MyProblem', 'M': 1, 'maxormins': array([1]), 'Dim': 3, 'varTypes': array([0, 0, 0]), 'lb': array([0.01, 0.01, 0.01]), 'ub': array([100, 500,   1]), 'borders': array([[1, 1, 1],
2 |        [1, 1, 1]])}


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/遗传算法求解/result of job 2023-01-29 14h-50m-16s/result info.txt:
--------------------------------------------------------------------------------
1 | {'success': True, 'stopMsg': 'The algotirhm stepped because it exceeded the generation limit.', 'Vars': array([[  0.53885539, 125.10758911,   0.96930233]]), 'ObjV': array([[207.59349297]]), 'CV': None, 'executeTime': 8904.365352869034, 'nfev': 481, 'startTime': '2023-01-29 14h-50m-16s', 'endTime': '2023-01-29 17h-26m-55s'}


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