02.12.2011, Результаты многокритериальной оптимизации

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Строка 21: Строка 21:
 
!Norm
 
!Norm
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.000, 0.500) at 1570<math>f_b</math> || 0.285 || 0.430 || 0.034 || 0.249 || 0.788 || 0.848 || 0.167 || 0.678 || 0.599 || 0.5998
+
|BoCsin(0.250, 0.250) at 1565<math>f_b</math> || 0.970 || 0.140 || 0.752 || 0.000 || 0.966 || 0.972 || 0.145 || 2.369 || 0.989 || 1.6248
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.250, 0.500) at 1563<math>f_b</math> || 0.260 || 0.523 || 0.029 || 0.235 || 0.791 || 0.883 || 0.167 || 0.700 || 0.594 || 0.6216
+
|BoCsin(0.500, 0.500) at 1565<math>f_b</math> || 0.582 || 0.727 || 0.282 || 0.000 || 0.949 || 0.961 || 0.304 || 2.241 || 0.608 || 1.5187
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.500, 0.500) at 1562<math>f_b</math> || 0.238 || 0.387 || 0.025 || 0.217 || 0.786 || 0.860 || 0.167 || 0.723 || 0.587 || 0.6141
+
|BoCsin(1.000, 1.000) at 1565<math>f_b</math> || 0.195 || 1.000 || 0.045 || 0.000 || 0.902 || 0.927 || 0.638 || 2.374 || 0.226 || 1.6081
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.500, 0.500) at 1569<math>f_b</math> || 0.238 || 0.627 || 0.025 || 0.217 || 0.793 || 0.856 || 0.167 || 0.723 || 0.587 || 0.6397
+
|BoCcos(0.250, 0.250) at 1565<math>f_b</math> || 0.886 || 0.485 || 0.540 || 0.000 || 0.947 || 0.959 || 0.145 || 2.372 || 0.833 || 1.6099
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.750, 0.500) at 1568<math>f_b</math> || 0.216 || 0.645 || 0.021 || 0.198 || 0.806 || 0.862 || 0.167 || 0.745 || 0.591 || 0.6532
+
|BPSK(0.500) at 1565<math>f_b</math> || 1.000 || 0.000 || 1.000 || 0.000 || 0.987 || 0.988 || 0.145 || 1.839 || 1.000 || 1.3498
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.000, 0.500) at 1568<math>f_b</math> || 0.196 || 0.527 || 0.018 || 0.164 || 0.783 || 0.868 || 0.167 || 0.766 || 0.592 || 0.6461
+
|BPSK(0.500) at 1566<math>f_b</math> || 1.000 || 0.117 || 1.000 || 0.000 || 1.000 || 1.000 || 0.145 || 1.839 || 1.000 || 1.3519
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.250, 0.500) at 1567<math>f_b</math> || 0.177 || 0.559 || 0.016 || 0.158 || 0.781 || 0.837 || 0.167 || 0.788 || 0.584 || 0.6557
+
|BPSK(0.500) at 1570<math>f_b</math> || 1.000 || 0.842 || 1.000 || 0.000 || 0.000 || 0.000 || 0.145 || 1.839 || 1.000 || 1.3259
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.500, 0.500) at 1567<math>f_b</math> || 0.158 || 0.444 || 0.013 || 0.156 || 0.752 || 0.817 || 0.167 || 0.811 || 0.592 || 0.6507
+
|BPSK(0.750) at 1565<math>f_b</math> || 0.774 || 0.091 || 0.573 || 0.000 || 0.976 || 0.980 || 0.228 || 2.178 || 0.759 || 1.4842
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.750, 0.500) at 1566<math>f_b</math> || 0.141 || 0.462 || 0.011 || 0.150 || 0.477 || 0.606 || 0.167 || 0.830 || 0.592 || 0.6218
+
|BPSK(1.000) at 1565<math>f_b</math> || 0.613 || 0.201 || 0.382 || 0.000 || 0.968 || 0.974 || 0.304 || 1.839 || 0.603 || 1.2664
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.000, 0.500) at 1566<math>f_b</math> || 0.125 || 0.369 || 0.009 || 0.144 || 0.415 || 0.609 || 0.167 || 0.853 || 0.583 || 0.6216
+
|BPSK(1.000) at 1566<math>f_b</math> || 0.613 || 0.360 || 0.382 || 0.000 || 0.975 || 0.979 || 0.304 || 1.839 || 0.603 || 1.2717
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.250, 0.500) at 1565<math>f_b</math> || 0.108 || 0.409 || 0.007 || 0.140 || 0.398 || 0.576 || 0.167 || 0.872 || 0.588 || 0.6318
+
|BPSK(1.250) at 1565<math>f_b</math> || 0.489 || 0.350 || 0.268 || 0.000 || 0.960 || 0.969 || 0.389 || 2.304 || 0.484 || 1.5363
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.500, 0.500) at 1564<math>f_b</math> || 0.094 || 0.419 || 0.006 || 0.128 || 0.641 || 0.721 || 0.167 || 0.895 || 0.585 || 0.6717
+
|BPSK(1.500) at 1565<math>f_b</math> || 0.387 || 0.431 || 0.192 || 0.000 || 0.952 || 0.963 || 0.478 || 2.105 || 0.383 || 1.4165
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.500, 0.500) at 1565<math>f_b</math> || 0.094 || 0.301 || 0.006 || 0.128 || 0.347 || 0.509 || 0.167 || 0.895 || 0.585 || 0.6293
+
|BPSK(2.000) at 1565<math>f_b</math> || 0.226 || 0.463 || 0.097 || 0.000 || 0.936 || 0.951 || 0.638 || 2.105 || 0.226 || 1.4189
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.750, 0.500) at 1564<math>f_b</math> || 0.079 || 0.348 || 0.004 || 0.128 || 0.490 || 0.577 || 0.167 || 0.915 || 0.590 || 0.6561
+
|BPSK(2.500) at 1565<math>f_b</math> || 0.102 || 0.599 || 0.038 || 0.000 || 0.919 || 0.938 || 0.815 || 2.371 || 0.101 || 1.5920
 
|- align="center"
 
|- align="center"
−
|BoCsin(6.000, 0.500) at 1564<math>f_b</math> || 0.065 || 0.240 || 0.003 || 0.123 || 0.429 || 0.520 || 0.167 || 0.934 || 0.579 || 0.6525
+
|BPSK(3.000) at 1565<math>f_b</math> || 0.000 || 0.844 || 0.000 || 0.000 || 0.905 || 0.927 || 1.000 || 2.371 || 0.000 || 1.6202
−
|- align="center"
+
−
|BoCsin(6.250, 0.500) at 1564<math>f_b</math> || 0.052 || 0.398 || 0.002 || 0.112 || 0.377 || 0.470 || 0.167 || 0.955 || 0.585 || 0.6689
+
−
|- align="center"
+
−
|BoCsin(6.500, 0.500) at 1565<math>f_b</math> || 0.039 || 0.606 || 0.001 || 0.112 || 0.143 || 0.319 || 0.167 || 0.977 || 0.595 || 0.6878
+
−
|- align="center"
+
−
|BoCsin(6.750, 0.500) at 1565<math>f_b</math> || 0.027 || 0.706 || 0.000 || 0.106 || 0.116 || 0.289 || 0.167 || 0.995 || 0.595 || 0.7086
+
−
|- align="center"
+
−
|BoCsin(3.000, 0.750) at 1564<math>f_b</math> || 0.265 || 0.520 || 0.034 || 0.261 || 0.852 || 0.904 || 0.250 || 0.678 || 0.450 || 0.6157
+
−
|- align="center"
+
−
|BoCsin(3.375, 0.750) at 1562<math>f_b</math> || 0.231 || 0.484 || 0.028 || 0.235 || 0.784 || 0.859 || 0.250 || 0.717 || 0.453 || 0.6154
+
−
|- align="center"
+
−
|BoCsin(3.750, 0.750) at 1568<math>f_b</math> || 0.200 || 0.685 || 0.022 || 0.178 || 0.808 || 0.864 || 0.250 || 0.748 || 0.435 || 0.6534
+
−
|- align="center"
+
−
|BoCsin(4.125, 0.750) at 1568<math>f_b</math> || 0.171 || 0.652 || 0.017 || 0.174 || 0.787 || 0.860 || 0.250 || 0.783 || 0.441 || 0.6627
+
−
|- align="center"
+
−
|BoCsin(4.500, 0.750) at 1567<math>f_b</math> || 0.145 || 0.470 || 0.014 || 0.164 || 0.761 || 0.824 || 0.250 || 0.817 || 0.438 || 0.6516
+
−
|- align="center"
+
−
|BoCsin(4.875, 0.750) at 1566<math>f_b</math> || 0.120 || 0.437 || 0.010 || 0.152 || 0.474 || 0.614 || 0.250 || 0.850 || 0.442 || 0.6244
+
−
|- align="center"
+
−
|BoCsin(5.250, 0.750) at 1564<math>f_b</math> || 0.097 || 0.577 || 0.008 || 0.140 || 0.712 || 0.787 || 0.250 || 0.881 || 0.450 || 0.6868
+
−
|- align="center"
+
−
|BoCsin(5.250, 0.750) at 1565<math>f_b</math> || 0.097 || 0.452 || 0.008 || 0.140 || 0.425 || 0.596 || 0.250 || 0.881 || 0.450 || 0.6385
+
−
|- align="center"
+
−
|BoCsin(5.625, 0.750) at 1565<math>f_b</math> || 0.076 || 0.423 || 0.005 || 0.117 || 0.352 || 0.511 || 0.250 || 0.915 || 0.439 || 0.6444
+
−
|- align="center"
+
−
|BoCsin(6.000, 0.750) at 1564<math>f_b</math> || 0.055 || 0.272 || 0.003 || 0.097 || 0.446 || 0.539 || 0.250 || 0.946 || 0.446 || 0.6579
+
−
|- align="center"
+
−
|BoCsin(6.375, 0.750) at 1565<math>f_b</math> || 0.036 || 0.642 || 0.002 || 0.231 || 0.205 || 0.379 || 0.250 || 0.978 || 0.431 || 0.6922
+
−
|- align="center"
+
−
|BoCsin(3.500, 1.000) at 1562<math>f_b</math> || 0.203 || 0.416 || 0.026 || 0.178 || 0.786 || 0.859 || 0.333 || 0.730 || 0.350 || 0.6137
+
−
|- align="center"
+
−
|BoCsin(4.500, 1.000) at 1567<math>f_b</math> || 0.131 || 0.480 || 0.014 || 0.162 || 0.766 || 0.828 || 0.333 || 0.825 || 0.344 || 0.6583
+
−
|- align="center"
+
−
|BoCsin(5.000, 1.000) at 1566<math>f_b</math> || 0.100 || 0.556 || 0.010 || 0.134 || 0.469 || 0.645 || 0.333 || 0.870 || 0.341 || 0.6494
+
−
|- align="center"
+
−
|BoCsin(5.500, 1.000) at 1565<math>f_b</math> || 0.071 || 0.344 || 0.006 || 0.131 || 0.403 || 0.554 || 0.333 || 0.913 || 0.337 || 0.6435
+
−
|- align="center"
+
−
|BoCsin(6.000, 1.000) at 1565<math>f_b</math> || 0.044 || 0.645 || 0.003 || 0.123 || 0.298 || 0.453 || 0.333 || 0.955 || 0.337 || 0.6853
+
−
|- align="center"
+
−
|BoCsin(6.500, 1.000) at 1565<math>f_b</math> || 0.019 || 0.692 || 0.001 || 0.261 || 0.208 || 0.379 || 0.333 || 0.999 || 0.334 || 0.7122
+
−
|- align="center"
+
−
|BoCsin(3.125, 1.250) at 1563<math>f_b</math> || 0.217 || 0.563 || 0.033 || NaN || 0.815 || 0.888 || NaN || 0.690 || 0.273 || NaN
+
−
|- align="center"
+
−
|BoCsin(4.375, 1.250) at 1567<math>f_b</math> || 0.126 || 0.627 || 0.015 || NaN || 0.787 || 0.842 || NaN || 0.818 || 0.266 || NaN
+
−
|- align="center"
+
−
|BoCsin(5.000, 1.250) at 1566<math>f_b</math> || 0.089 || 0.527 || 0.010 || NaN || 0.500 || 0.665 || NaN || 0.876 || 0.254 || NaN
+
−
|- align="center"
+
−
|BoCsin(5.625, 1.250) at 1565<math>f_b</math> || 0.054 || 0.444 || 0.006 || NaN || 0.398 || 0.548 || NaN || 0.933 || 0.255 || NaN
+
−
|- align="center"
+
−
|BoCsin(4.500, 1.500) at 1567<math>f_b</math> || 0.106 || 0.477 || 0.014 || 0.129 || 0.777 || 0.835 || 0.500 || 0.836 || 0.196 || 0.6752
+
−
|- align="center"
+
−
|BoCsin(5.250, 1.500) at 1565<math>f_b</math> || 0.063 || 0.498 || 0.008 || 0.182 || 0.516 || 0.665 || 0.500 || 0.906 || 0.196 || 0.6790
+
−
|- align="center"
+
−
|BoCsin(6.000, 1.500) at 1565<math>f_b</math> || 0.025 || 0.667 || 0.004 || 0.149 || 0.351 || 0.499 || 0.500 || 0.975 || 0.190 || 0.7140
+
−
|- align="center"
+
−
|BoCsin(4.375, 1.750) at 1567<math>f_b</math> || 0.100 || 0.677 || 0.016 || 0.126 || 0.796 || 0.848 || 0.583 || 0.831 || 0.156 || 0.7068
+
−
|- align="center"
+
−
|BoCsin(5.250, 1.750) at 1565<math>f_b</math> || 0.052 || 0.452 || 0.008 || 0.155 || 0.547 || 0.688 || 0.583 || 0.915 || 0.145 || 0.6914
+
−
|- align="center"
+
−
|BoCsin(6.125, 1.750) at 1564<math>f_b</math> || 0.010 || 0.573 || 0.003 || 0.172 || 0.524 || 0.620 || 0.583 || 1.000 || 0.139 || 0.7419
+
−
|- align="center"
+
−
|BoCsin(5.000, 2.000) at 1566<math>f_b</math> || 0.054 || 0.616 || 0.010 || 0.135 || 0.575 || 0.717 || 0.667 || 0.902 || 0.101 || 0.7150
+
−
|- align="center"
+
−
|BoCsin(4.500, 2.250) at 1566<math>f_b</math> || 0.069 || 0.602 || 0.015 || 0.150 || 0.745 || 0.807 || 0.750 || 0.858 || 0.077 || 0.7247
+
−
|- align="center"
+
−
|BoCsin(5.625, 2.250) at 1565<math>f_b</math> || 0.013 || 0.541 || 0.006 || 0.135 || 0.507 || 0.632 || 0.750 || 0.971 || 0.059 || 0.7441
+
−
|- align="center"
+
−
|BoCsin(5.000, 2.500) at 1565<math>f_b</math> || 0.033 || 0.584 || 0.011 || 0.164 || 0.666 || 0.789 || 0.833 || 0.918 || 0.037 || 0.7572
+
−
|- align="center"
+
−
|BoCsin(5.500, 2.750) at 1566<math>f_b</math> || 0.000 || 0.677 || 0.007 || 1.000 || 0.523 || 0.677 || 0.917 || 0.977 || 0.000 || 0.8402
+
−
|- align="center"
+
−
|BoCsin(4.500, 3.000) at 1567<math>f_b</math> || 0.037 || 0.427 || 0.016 || 0.813 || 0.804 || 0.853 || 1.000 || 0.878 || 0.000 || 0.8032
+
−
|- align="center"
+
−
|BoCsin(0.500, 0.500) at 1559<math>f_b</math> || 0.741 || 0.645 || 0.381 || 0.697 || 0.046 || 0.273 || 0.167 || 0.283 || 0.736 || 0.4942
+
−
|- align="center"
+
−
|BoCsin(0.750, 0.500) at 1559<math>f_b</math> || 0.658 || 0.789 || 0.236 || 0.580 || 0.134 || 0.346 || 0.167 || 0.374 || 0.655 || 0.5064
+
−
|- align="center"
+
−
|BoCsin(1.000, 0.500) at 1559<math>f_b</math> || 0.591 || 0.871 || 0.162 || 0.494 || 0.227 || 0.426 || 0.167 || 0.438 || 0.629 || 0.5302
+
−
|- align="center"
+
−
|BoCsin(1.250, 0.500) at 1559<math>f_b</math> || 0.535 || 0.946 || 0.123 || 0.842 || 0.265 || 0.470 || 0.167 || 0.482 || 0.613 || 0.5906
+
−
|- align="center"
+
−
|BoCsin(1.500, 0.500) at 1560<math>f_b</math> || 0.486 || 1.000 || 0.096 || 0.647 || 0.407 || 0.591 || 0.167 || 0.518 || 0.606 || 0.6049
+
−
|- align="center"
+
−
|BoCsin(0.750, 0.750) at 1559<math>f_b</math> || 0.601 || 0.728 || 0.243 || 0.715 || 0.114 || 0.330 || 0.250 || 0.320 || 0.587 || 0.4848
+
−
|- align="center"
+
−
|BoCsin(1.125, 0.750) at 1559<math>f_b</math> || 0.517 || 0.839 || 0.146 || 0.213 || 0.243 || 0.443 || 0.250 || 0.432 || 0.514 || 0.4952
+
−
|- align="center"
+
−
|BoCsin(1.000, 1.000) at 1560<math>f_b</math> || 0.500 || 0.792 || 0.176 || 0.149 || 0.330 || 0.528 || 0.333 || 0.362 || 0.480 || 0.4760
+
−
|- align="center"
+
−
|BoCcos(2.500, 0.500) at 1566<math>f_b</math> || 0.314 || 0.480 || 0.047 || 0.303 || 1.000 || 1.000 || 0.167 || 0.629 || 0.579 || 0.6281
+
−
|- align="center"
+
−
|BoCcos(2.750, 0.500) at 1565<math>f_b</math> || 0.287 || 0.427 || 0.040 || 0.259 || 0.977 || 0.996 || 0.167 || 0.655 || 0.593 || 0.6288
+
−
|- align="center"
+
−
|BoCcos(3.000, 0.500) at 1564<math>f_b</math> || 0.261 || 0.222 || 0.035 || 0.249 || 0.820 || 0.881 || 0.167 || 0.676 || 0.576 || 0.5884
+
−
|- align="center"
+
−
|BoCcos(3.250, 0.500) at 1563<math>f_b</math> || 0.238 || 0.226 || 0.029 || 0.235 || 0.775 || 0.873 || 0.167 || 0.700 || 0.590 || 0.5938
+
−
|- align="center"
+
−
|BoCcos(3.500, 0.500) at 1562<math>f_b</math> || 0.216 || 0.036 || 0.026 || 0.197 || 0.775 || 0.853 || 0.167 || 0.722 || 0.578 || 0.5940
+
−
|- align="center"
+
−
|BoCcos(3.750, 0.500) at 1562<math>f_b</math> || 0.195 || 0.534 || 0.022 || 0.218 || 0.774 || 0.851 || 0.167 || 0.745 || 0.586 || 0.6354
+
−
|- align="center"
+
−
|BoCcos(2.625, 0.750) at 1565<math>f_b</math> || 0.271 || 0.616 || 0.042 || 0.303 || 0.977 || 0.990 || 0.250 || 0.640 || 0.437 || 0.6371
+
−
|- align="center"
+
−
|BoCcos(3.000, 0.750) at 1564<math>f_b</math> || 0.235 || 0.161 || 0.034 || 0.261 || 0.815 || 0.877 || 0.250 || 0.679 || 0.448 || 0.5813
+
−
|- align="center"
+
−
|BoCcos(3.375, 0.750) at 1561<math>f_b</math> || 0.203 || 0.254 || 0.027 || 0.234 || 0.768 || 0.849 || 0.250 || 0.715 || 0.440 || 0.5922
+
−
|- align="center"
+
−
|BoCcos(3.750, 0.750) at 1562<math>f_b</math> || 0.174 || 0.627 || 0.022 || 0.213 || 0.773 || 0.852 || 0.250 || 0.750 || 0.445 || 0.6429
+
−
|- align="center"
+
−
|BoCcos(3.000, 1.000) at 1564<math>f_b</math> || 0.211 || 0.455 || 0.033 || 0.272 || 0.810 || 0.873 || 0.333 || 0.678 || 0.338 || 0.5996
+
−
|- align="center"
+
−
|BoCcos(3.500, 1.000) at 1562<math>f_b</math> || 0.171 || 0.000 || 0.025 || 0.229 || 0.769 || 0.850 || 0.333 || 0.728 || 0.329 || 0.5911
+
−
|- align="center"
+
−
|BoCcos(3.125, 1.250) at 1563<math>f_b</math> || 0.179 || 0.280 || 0.031 || NaN || 0.777 || 0.858 || NaN || 0.693 || 0.259 || NaN
+
−
|- align="center"
+
−
|BoCcos(0.500, 0.500) at 1559<math>f_b</math> || 0.689 || 0.756 || 0.289 || 0.997 || 0.132 || 0.349 || 0.167 || 0.275 || 0.627 || 0.5305
+
−
|- align="center"
+
−
|BoCcos(0.750, 0.500) at 1559<math>f_b</math> || 0.610 || 0.839 || 0.203 || 0.814 || 0.197 || 0.404 || 0.167 || 0.377 || 0.602 || 0.5351
+
−
|- align="center"
+
−
|BoCcos(1.000, 0.500) at 1559<math>f_b</math> || 0.548 || 0.885 || 0.150 || 0.697 || 0.261 || 0.463 || 0.167 || 0.438 || 0.596 || 0.5477
+
−
|- align="center"
+
−
|BoCcos(1.250, 0.500) at 1559<math>f_b</math> || 0.496 || 0.957 || 0.117 || 0.580 || 0.313 || 0.515 || 0.167 || 0.482 || 0.591 || 0.5672
+
−
|- align="center"
+
−
|BoCcos(1.500, 0.500) at 1560<math>f_b</math> || 0.451 || 0.903 || 0.095 || 0.494 || 0.471 || 0.638 || 0.167 || 0.520 || 0.599 || 0.5783
+
−
|- align="center"
+
−
|BoCcos(0.750, 0.750) at 1559<math>f_b</math> || 0.549 || 0.799 || 0.188 || 0.841 || 0.208 || 0.416 || 0.250 || 0.327 || 0.489 || 0.5076
+
−
|- align="center"
+
−
|BoCcos(1.125, 0.750) at 1559<math>f_b</math> || 0.470 || 0.885 || 0.126 || 0.647 || 0.309 || 0.507 || 0.250 || 0.431 || 0.460 || 0.5330
+
−
|- align="center"
+
−
|BoCcos(1.000, 1.000) at 1560<math>f_b</math> || 0.449 || 0.885 || 0.130 || 0.714 || 0.439 || 0.606 || 0.333 || 0.359 || 0.374 || 0.5343
+
−
|- align="center"
+
−
|BPSK(0.500) at 1558<math>f_b</math> || 1.000 || 0.434 || 1.000 || NaN || 0.047 || 0.000 || NaN || 0.000 || 1.000 || NaN
+
−
|- align="center"
+
−
|BPSK(0.750) at 1558<math>f_b</math> || 0.859 || 0.491 || 0.632 || NaN || 0.040 || 0.043 || NaN || 0.026 || 0.838 || NaN
+
−
|- align="center"
+
−
|BPSK(1.000) at 1559<math>f_b</math> || 0.760 || 0.570 || 0.467 || NaN || 0.000 || 0.229 || NaN || 0.040 || 0.733 || NaN
+
−
|- align="center"
+
−
|BPSK(1.500) at 1559<math>f_b</math> || 0.619 || 0.627 || 0.303 || NaN || 0.050 || 0.274 || NaN || 0.080 || 0.585 || NaN
+
−
|- align="center"
+
−
|BPSK(2.000) at 1560<math>f_b</math> || 0.520 || 0.688 || 0.221 || NaN || 0.268 || 0.484 || NaN || 0.120 || 0.480 || NaN
+
 
|}
 
|}
  

Версия 20:57, 10 декабря 2011

<accesscontrol>SuperUsers</accesscontrol> Результаты расчетов

Частотный диапазон L1

L1OC

Multi-objective optimization for L1OC signal
Signal Antijamming
w=0.08 		Astronomy
w=0.13 		Accurancy
w=0.15 		MultiPath
w=0.08 		Inter from GPS
w=0.08 		Inter to GPS
w=0.08 		Search
w=0.15 		Complexity
w=0.40 		Intra
w=0.08 		Norm
BoCsin(0.250, 0.250) at 1565f_b 0.970 0.140 0.752 0.000 0.966 0.972 0.145 2.369 0.989 1.6248
BoCsin(0.500, 0.500) at 1565f_b 0.582 0.727 0.282 0.000 0.949 0.961 0.304 2.241 0.608 1.5187
BoCsin(1.000, 1.000) at 1565f_b 0.195 1.000 0.045 0.000 0.902 0.927 0.638 2.374 0.226 1.6081
BoCcos(0.250, 0.250) at 1565f_b 0.886 0.485 0.540 0.000 0.947 0.959 0.145 2.372 0.833 1.6099
BPSK(0.500) at 1565f_b 1.000 0.000 1.000 0.000 0.987 0.988 0.145 1.839 1.000 1.3498
BPSK(0.500) at 1566f_b 1.000 0.117 1.000 0.000 1.000 1.000 0.145 1.839 1.000 1.3519
BPSK(0.500) at 1570f_b 1.000 0.842 1.000 0.000 0.000 0.000 0.145 1.839 1.000 1.3259
BPSK(0.750) at 1565f_b 0.774 0.091 0.573 0.000 0.976 0.980 0.228 2.178 0.759 1.4842
BPSK(1.000) at 1565f_b 0.613 0.201 0.382 0.000 0.968 0.974 0.304 1.839 0.603 1.2664
BPSK(1.000) at 1566f_b 0.613 0.360 0.382 0.000 0.975 0.979 0.304 1.839 0.603 1.2717
BPSK(1.250) at 1565f_b 0.489 0.350 0.268 0.000 0.960 0.969 0.389 2.304 0.484 1.5363
BPSK(1.500) at 1565f_b 0.387 0.431 0.192 0.000 0.952 0.963 0.478 2.105 0.383 1.4165
BPSK(2.000) at 1565f_b 0.226 0.463 0.097 0.000 0.936 0.951 0.638 2.105 0.226 1.4189
BPSK(2.500) at 1565f_b 0.102 0.599 0.038 0.000 0.919 0.938 0.815 2.371 0.101 1.5920
BPSK(3.000) at 1565f_b 0.000 0.844 0.000 0.000 0.905 0.927 1.000 2.371 0.000 1.6202

L1SC

Multi-objective optimization for L1SC signal
Signal Antijamming
w=4.00 		Astronomy
w=4.00 		Accurancy
w=9.00 		MultiPath
w=4.00 		Inter from GPS
w=4.00 		Inter to GPS
w=1.00 		Search
w=4.00 		Complexity
w=1.00 		Intra
w=256.00 		Norm
BoCsin(3.000, 0.500) at 1570f_b 0.075 0.430 0.034 0.249 0.788 0.848 0.167 0.678 0.599 9.8257
BoCsin(3.250, 0.500) at 1563f_b 0.066 0.523 0.029 0.235 0.791 0.883 0.167 0.700 0.594 9.7814
BoCsin(3.500, 0.500) at 1562f_b 0.058 0.387 0.025 0.217 0.786 0.860 0.167 0.723 0.587 9.6424
BoCsin(3.500, 0.500) at 1569f_b 0.058 0.627 0.025 0.217 0.793 0.856 0.167 0.723 0.587 9.6948
BoCsin(3.750, 0.500) at 1568f_b 0.051 0.645 0.021 0.198 0.806 0.862 0.167 0.745 0.591 9.7603
BoCsin(4.000, 0.500) at 1568f_b 0.045 0.527 0.018 0.164 0.783 0.868 0.167 0.766 0.592 9.7382
BoCsin(4.250, 0.500) at 1567f_b 0.039 0.559 0.016 0.158 0.781 0.837 0.167 0.788 0.584 9.6247
BoCsin(4.500, 0.500) at 1567f_b 0.034 0.444 0.013 0.156 0.752 0.817 0.167 0.811 0.592 9.7086
BoCsin(4.750, 0.500) at 1566f_b 0.030 0.462 0.011 0.150 0.477 0.606 0.167 0.830 0.592 9.6251
BoCsin(5.000, 0.500) at 1566f_b 0.026 0.369 0.009 0.144 0.415 0.609 0.167 0.853 0.583 9.4603
BoCsin(5.250, 0.500) at 1565f_b 0.022 0.409 0.007 0.140 0.398 0.576 0.167 0.872 0.588 9.5468
BoCsin(5.500, 0.500) at 1564f_b 0.018 0.419 0.006 0.128 0.641 0.721 0.167 0.895 0.585 9.5583
BoCsin(5.500, 0.500) at 1565f_b 0.018 0.301 0.006 0.128 0.347 0.509 0.167 0.895 0.585 9.4656
BoCsin(5.750, 0.500) at 1564f_b 0.015 0.348 0.004 0.128 0.490 0.577 0.167 0.915 0.590 9.5897
BoCsin(6.000, 0.500) at 1564f_b 0.012 0.240 0.003 0.123 0.429 0.520 0.167 0.934 0.579 9.3942
BoCsin(6.250, 0.500) at 1564f_b 0.010 0.398 0.002 0.112 0.377 0.470 0.167 0.955 0.585 9.4928
BoCsin(6.500, 0.500) at 1565f_b 0.007 0.606 0.001 0.112 0.143 0.319 0.167 0.977 0.595 9.6643
BoCsin(6.750, 0.500) at 1565f_b 0.005 0.706 0.000 0.106 0.116 0.289 0.167 0.995 0.595 9.6887
BoCsin(3.000, 0.750) at 1564f_b 0.068 0.520 0.034 0.261 0.852 0.904 0.250 0.678 0.450 7.5857
BoCsin(3.375, 0.750) at 1562f_b 0.056 0.484 0.028 0.235 0.784 0.859 0.250 0.717 0.453 7.5970
BoCsin(3.750, 0.750) at 1568f_b 0.046 0.685 0.022 0.178 0.808 0.864 0.250 0.748 0.435 7.3910
BoCsin(4.125, 0.750) at 1568f_b 0.038 0.652 0.017 0.174 0.787 0.860 0.250 0.783 0.441 7.4664
BoCsin(4.500, 0.750) at 1567f_b 0.031 0.470 0.014 0.164 0.761 0.824 0.250 0.817 0.438 7.3556
BoCsin(4.875, 0.750) at 1566f_b 0.025 0.437 0.010 0.152 0.474 0.614 0.250 0.850 0.442 7.2916
BoCsin(5.250, 0.750) at 1564f_b 0.019 0.577 0.008 0.140 0.712 0.787 0.250 0.881 0.450 7.5463
BoCsin(5.250, 0.750) at 1565f_b 0.019 0.452 0.008 0.140 0.425 0.596 0.250 0.881 0.450 7.4067
BoCsin(5.625, 0.750) at 1565f_b 0.014 0.423 0.005 0.117 0.352 0.511 0.250 0.915 0.439 7.2069
BoCsin(6.000, 0.750) at 1564f_b 0.010 0.272 0.003 0.097 0.446 0.539 0.250 0.946 0.446 7.3161
BoCsin(6.375, 0.750) at 1565f_b 0.007 0.642 0.002 0.231 0.205 0.379 0.250 0.978 0.431 7.1383
BoCsin(3.500, 1.000) at 1562f_b 0.047 0.416 0.026 0.178 0.786 0.859 0.333 0.730 0.350 6.0353
BoCsin(4.500, 1.000) at 1567f_b 0.027 0.480 0.014 0.162 0.766 0.828 0.333 0.825 0.344 5.9613
BoCsin(5.000, 1.000) at 1566f_b 0.020 0.556 0.010 0.134 0.469 0.645 0.333 0.870 0.341 5.7934
BoCsin(5.500, 1.000) at 1565f_b 0.014 0.344 0.006 0.131 0.403 0.554 0.333 0.913 0.337 5.6407
BoCsin(6.000, 1.000) at 1565f_b 0.008 0.645 0.003 0.123 0.298 0.453 0.333 0.955 0.337 5.7142
BoCsin(6.500, 1.000) at 1565f_b 0.003 0.692 0.001 0.261 0.208 0.379 0.333 0.999 0.334 5.7033
BoCsin(3.125, 1.250) at 1563f_b 0.052 0.563 0.033 NaN 0.815 0.888 NaN 0.690 0.273 NaN
BoCsin(4.375, 1.250) at 1567f_b 0.026 0.627 0.015 NaN 0.787 0.842 NaN 0.818 0.266 NaN
BoCsin(5.000, 1.250) at 1566f_b 0.017 0.527 0.010 NaN 0.500 0.665 NaN 0.876 0.254 NaN
BoCsin(5.625, 1.250) at 1565f_b 0.010 0.444 0.006 NaN 0.398 0.548 NaN 0.933 0.255 NaN
BoCsin(4.500, 1.500) at 1567f_b 0.021 0.477 0.014 0.129 0.777 0.835 0.500 0.836 0.196 3.9582
BoCsin(5.250, 1.500) at 1565f_b 0.012 0.498 0.008 0.182 0.516 0.665 0.500 0.906 0.196 3.7783
BoCsin(6.000, 1.500) at 1565f_b 0.004 0.667 0.004 0.149 0.351 0.499 0.500 0.975 0.190 3.7090
BoCsin(4.375, 1.750) at 1567f_b 0.020 0.677 0.016 0.126 0.796 0.848 0.583 0.831 0.156 3.6706
BoCsin(5.250, 1.750) at 1565f_b 0.010 0.452 0.008 0.155 0.547 0.688 0.583 0.915 0.145 3.1918
BoCsin(6.125, 1.750) at 1564f_b 0.002 0.573 0.003 0.172 0.524 0.620 0.583 1.000 0.139 3.1947
BoCsin(5.000, 2.000) at 1566f_b 0.010 0.616 0.010 0.135 0.575 0.717 0.667 0.902 0.101 2.9407
BoCsin(4.500, 2.250) at 1566f_b 0.013 0.602 0.015 0.150 0.745 0.807 0.750 0.858 0.077 2.9837
BoCsin(5.625, 2.250) at 1565f_b 0.002 0.541 0.006 0.135 0.507 0.632 0.750 0.971 0.059 2.5965
BoCsin(5.000, 2.500) at 1565f_b 0.006 0.584 0.011 0.164 0.666 0.789 0.833 0.918 0.037 2.8015
BoCsin(5.500, 2.750) at 1566f_b 0.000 0.677 0.007 1.000 0.523 0.677 0.917 0.977 0.000 3.4213
BoCsin(4.500, 3.000) at 1567f_b 0.007 0.427 0.016 0.813 0.804 0.853 1.000 0.878 0.000 3.3854
BoCsin(0.500, 0.500) at 1559f_b 0.442 0.645 0.381 0.697 0.046 0.273 0.167 0.283 0.736 12.0344
BoCsin(0.750, 0.500) at 1559f_b 0.336 0.789 0.236 0.580 0.134 0.346 0.167 0.374 0.655 10.7325
BoCsin(1.000, 0.500) at 1559f_b 0.266 0.871 0.162 0.494 0.227 0.426 0.167 0.438 0.629 10.3139
BoCsin(1.250, 0.500) at 1559f_b 0.217 0.946 0.123 0.842 0.265 0.470 0.167 0.482 0.613 10.1850
BoCsin(1.500, 0.500) at 1560f_b 0.181 1.000 0.096 0.647 0.407 0.591 0.167 0.518 0.606 10.0625
BoCsin(0.750, 0.750) at 1559f_b 0.275 0.728 0.243 0.715 0.114 0.330 0.250 0.320 0.587 9.6770
BoCsin(1.125, 0.750) at 1559f_b 0.203 0.839 0.146 0.213 0.243 0.443 0.250 0.432 0.514 8.4800
BoCsin(1.000, 1.000) at 1560f_b 0.191 0.792 0.176 0.149 0.330 0.528 0.333 0.362 0.480 7.9530
BoCcos(2.500, 0.500) at 1566f_b 0.087 0.480 0.047 0.303 1.000 1.000 0.167 0.629 0.579 9.6300
BoCcos(2.750, 0.500) at 1565f_b 0.076 0.427 0.040 0.259 0.977 0.996 0.167 0.655 0.593 9.8185
BoCcos(3.000, 0.500) at 1564f_b 0.067 0.222 0.035 0.249 0.820 0.881 0.167 0.676 0.576 9.4535
BoCcos(3.250, 0.500) at 1563f_b 0.058 0.226 0.029 0.235 0.775 0.873 0.167 0.700 0.590 9.6605
BoCcos(3.500, 0.500) at 1562f_b 0.051 0.036 0.026 0.197 0.775 0.853 0.167 0.722 0.578 9.4548
BoCcos(3.750, 0.500) at 1562f_b 0.045 0.534 0.022 0.218 0.774 0.851 0.167 0.745 0.586 9.6487
BoCcos(2.625, 0.750) at 1565f_b 0.070 0.616 0.042 0.303 0.977 0.990 0.250 0.640 0.437 7.5056
BoCcos(3.000, 0.750) at 1564f_b 0.058 0.161 0.034 0.261 0.815 0.877 0.250 0.679 0.448 7.4802
BoCcos(3.375, 0.750) at 1561f_b 0.047 0.254 0.027 0.234 0.768 0.849 0.250 0.715 0.440 7.3345
BoCcos(3.750, 0.750) at 1562f_b 0.038 0.627 0.022 0.213 0.773 0.852 0.250 0.750 0.445 7.5026
BoCcos(3.000, 1.000) at 1564f_b 0.050 0.455 0.033 0.272 0.810 0.873 0.333 0.678 0.338 5.8849
BoCcos(3.500, 1.000) at 1562f_b 0.038 0.000 0.025 0.229 0.769 0.850 0.333 0.728 0.329 5.6632
BoCcos(3.125, 1.250) at 1563f_b 0.040 0.280 0.031 NaN 0.777 0.858 NaN 0.693 0.259 NaN
BoCcos(0.500, 0.500) at 1559f_b 0.372 0.756 0.289 0.997 0.132 0.349 0.167 0.275 0.627 10.4153
BoCcos(0.750, 0.500) at 1559f_b 0.285 0.839 0.203 0.814 0.197 0.404 0.167 0.377 0.602 9.9777
BoCcos(1.000, 0.500) at 1559f_b 0.228 0.885 0.150 0.697 0.261 0.463 0.167 0.438 0.596 9.8579
BoCcos(1.250, 0.500) at 1559f_b 0.188 0.957 0.117 0.580 0.313 0.515 0.167 0.482 0.591 9.7750
BoCcos(1.500, 0.500) at 1560f_b 0.158 0.903 0.095 0.494 0.471 0.638 0.167 0.520 0.599 9.8903
BoCcos(0.750, 0.750) at 1559f_b 0.229 0.799 0.188 0.841 0.208 0.416 0.250 0.327 0.489 8.2318
BoCcos(1.125, 0.750) at 1559f_b 0.170 0.885 0.126 0.647 0.309 0.507 0.250 0.431 0.460 7.7706
BoCcos(1.000, 1.000) at 1560f_b 0.157 0.885 0.130 0.714 0.439 0.606 0.333 0.359 0.374 6.5538
BPSK(0.500) at 1558f_b 1.000 0.434 1.000 NaN 0.047 0.000 NaN 0.000 1.000 NaN
BPSK(0.750) at 1558f_b 0.647 0.491 0.632 NaN 0.040 0.043 NaN 0.026 0.838 NaN
BPSK(1.000) at 1559f_b 0.470 0.570 0.467 NaN 0.000 0.229 NaN 0.040 0.733 NaN
BPSK(1.500) at 1559f_b 0.294 0.627 0.303 NaN 0.050 0.274 NaN 0.080 0.585 NaN
BPSK(2.000) at 1560f_b 0.206 0.688 0.221 NaN 0.268 0.484 NaN 0.120 0.480 NaN

— Корогодин Илья • 04:13, 3 декабря 2011 • нет комментариев

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Источник — «https://srns.ru/index.php?title=Blog:Korogodin/02.12.2011,_Результаты_многокритериальной_оптимизации&oldid=5568»
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