02.12.2011, Результаты многокритериальной оптимизации

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Строка 64: Строка 64:
 
!Inter from GPS<br>w=2.00  
 
!Inter from GPS<br>w=2.00  
 
!Inter to GPS<br>w=1.00  
 
!Inter to GPS<br>w=1.00  
−
!Search<br>w=2.00
+
!Search<br>w=6.00
 
!Complexity<br>w=6.00
 
!Complexity<br>w=6.00
 
!Intra<br>w=10.00
 
!Intra<br>w=10.00
 
!Norm
 
!Norm
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.250, 1.750) at 1563<math>f_b</math> || 1.000 || 0.848 || 0.971 || 0.000 || 0.822 || 0.891 || 0.559 || 0.739 || 0.929 || 14.5439
+
|BoCsin(3.250, 1.750) at 1563<math>f_b</math> || 1.000 || 0.848 || 0.971 || 0.000 || 0.822 || 0.891 || 0.559 || 0.739 || 0.929 || 14.8836
 
|- align="center"
 
|- align="center"
−
|BoCsin(6.125, 1.750) at 1565<math>f_b</math> || 0.036 || 0.151 || 0.525 || 0.000 || 0.000 || 0.000 || 0.559 || 0.900 || 0.985 || 11.7260
+
|BoCsin(6.125, 1.750) at 1565<math>f_b</math> || 0.036 || 0.151 || 0.525 || 0.000 || 0.000 || 0.000 || 0.559 || 0.900 || 0.985 || 12.1448
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.250, 1.875) at 1563<math>f_b</math> || 0.936 || 0.887 || 0.969 || 0.000 || 0.821 || 0.888 || 0.599 || 0.875 || 0.803 || 13.7822
+
|BoCsin(3.250, 1.875) at 1563<math>f_b</math> || 0.936 || 0.887 || 0.969 || 0.000 || 0.821 || 0.888 || 0.599 || 0.875 || 0.803 || 14.1925
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.750, 1.875) at 1568<math>f_b</math> || 0.915 || 0.610 || 0.878 || 0.000 || 0.924 || 0.910 || 0.599 || 0.912 || 1.000 || 14.7810
+
|BoCsin(3.750, 1.875) at 1568<math>f_b</math> || 0.915 || 0.610 || 0.878 || 0.000 || 0.924 || 0.910 || 0.599 || 0.912 || 1.000 || 15.1643
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.125, 1.875) at 1564<math>f_b</math> || 0.171 || 0.953 || 0.621 || 0.000 || 0.593 || 0.631 || 0.599 || 0.978 || 0.749 || 10.6373
+
|BoCsin(5.125, 1.875) at 1564<math>f_b</math> || 0.171 || 0.953 || 0.621 || 0.000 || 0.593 || 0.631 || 0.599 || 0.978 || 0.749 || 11.1638
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.625, 1.875) at 1565<math>f_b</math> || 0.166 || 0.415 || 0.577 || 0.000 || 0.216 || 0.240 || 0.599 || 0.872 || 0.894 || 11.1104
+
|BoCsin(5.625, 1.875) at 1565<math>f_b</math> || 0.166 || 0.415 || 0.577 || 0.000 || 0.216 || 0.240 || 0.599 || 0.872 || 0.894 || 11.6155
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.250, 2.000) at 1563<math>f_b</math> || 0.889 || 0.910 || 0.967 || 0.000 || 0.825 || 0.886 || 0.639 || 0.750 || 0.665 || 12.5405
+
|BoCsin(3.250, 2.000) at 1563<math>f_b</math> || 0.889 || 0.910 || 0.967 || 0.000 || 0.825 || 0.886 || 0.639 || 0.750 || 0.665 || 13.0509
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.000, 2.000) at 1567<math>f_b</math> || 0.750 || 0.976 || 0.822 || 0.000 || 0.928 || 0.917 || 0.639 || 0.709 || 0.852 || 12.6802
+
|BoCsin(4.000, 2.000) at 1567<math>f_b</math> || 0.750 || 0.976 || 0.822 || 0.000 || 0.928 || 0.917 || 0.639 || 0.709 || 0.852 || 13.1852
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.000, 2.000) at 1568<math>f_b</math> || 0.750 || 0.615 || 0.822 || 0.000 || 0.899 || 0.918 || 0.639 || 0.709 || 0.852 || 12.5812
+
|BoCsin(4.000, 2.000) at 1568<math>f_b</math> || 0.750 || 0.615 || 0.822 || 0.000 || 0.899 || 0.918 || 0.639 || 0.709 || 0.852 || 13.0900
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.000, 2.000) at 1564<math>f_b</math> || 0.352 || 0.976 || 0.650 || 0.000 || 0.756 || 0.804 || 0.639 || 0.748 || 0.770 || 10.5307
+
|BoCsin(5.000, 2.000) at 1564<math>f_b</math> || 0.352 || 0.976 || 0.650 || 0.000 || 0.756 || 0.804 || 0.639 || 0.748 || 0.770 || 11.1337
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.000, 2.000) at 1565<math>f_b</math> || 0.352 || 0.561 || 0.650 || 0.000 || 0.538 || 0.648 || 0.639 || 0.748 || 0.770 || 10.3435
+
|BoCsin(5.000, 2.000) at 1565<math>f_b</math> || 0.352 || 0.561 || 0.650 || 0.000 || 0.538 || 0.648 || 0.639 || 0.748 || 0.770 || 10.9568
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.000, 2.000) at 1566<math>f_b</math> || 0.352 || 0.406 || 0.650 || 0.000 || 0.427 || 0.518 || 0.639 || 0.748 || 0.770 || 10.2865
+
|BoCsin(5.000, 2.000) at 1566<math>f_b</math> || 0.352 || 0.406 || 0.650 || 0.000 || 0.427 || 0.518 || 0.639 || 0.748 || 0.770 || 10.9029
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.000, 2.000) at 1567<math>f_b</math> || 0.352 || 1.000 || 0.650 || 0.000 || 0.658 || 0.688 || 0.639 || 0.748 || 0.770 || 10.5053
+
|BoCsin(5.000, 2.000) at 1567<math>f_b</math> || 0.352 || 1.000 || 0.650 || 0.000 || 0.658 || 0.688 || 0.639 || 0.748 || 0.770 || 11.1096
 
|- align="center"
 
|- align="center"
−
|BoCsin(6.000, 2.000) at 1565<math>f_b</math> || 0.000 || 0.718 || 0.538 || 0.000 || 0.080 || 0.083 || 0.639 || 0.676 || 0.720 || 9.0816
+
|BoCsin(6.000, 2.000) at 1565<math>f_b</math> || 0.000 || 0.718 || 0.538 || 0.000 || 0.080 || 0.083 || 0.639 || 0.676 || 0.720 || 9.7743
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.250, 2.125) at 1567<math>f_b</math> || 0.606 || 0.488 || 0.776 || 0.000 || 0.884 || 0.862 || 0.693 || 0.928 || 0.725 || 11.6440
+
|BoCsin(4.250, 2.125) at 1567<math>f_b</math> || 0.606 || 0.488 || 0.776 || 0.000 || 0.884 || 0.862 || 0.693 || 0.928 || 0.725 || 12.2867
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.500, 2.250) at 1566<math>f_b</math> || 0.462 || 0.130 || 0.732 || 0.000 || 0.750 || 0.732 || 0.734 || 0.823 || 0.628 || 10.0880
+
|BoCsin(4.500, 2.250) at 1566<math>f_b</math> || 0.462 || 0.130 || 0.732 || 0.000 || 0.750 || 0.732 || 0.734 || 0.823 || 0.628 || 10.9093
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.500, 2.250) at 1567<math>f_b</math> || 0.462 || 0.793 || 0.732 || 0.000 || 0.828 || 0.811 || 0.734 || 0.823 || 0.628 || 10.2386
+
|BoCsin(4.500, 2.250) at 1567<math>f_b</math> || 0.462 || 0.793 || 0.732 || 0.000 || 0.828 || 0.811 || 0.734 || 0.823 || 0.628 || 11.0488
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.625, 2.250) at 1565<math>f_b</math> || 0.063 || 0.494 || 0.578 || 0.000 || 0.299 || 0.319 || 0.734 || 1.000 || 0.524 || 8.9062
+
|BoCsin(5.625, 2.250) at 1565<math>f_b</math> || 0.063 || 0.494 || 0.578 || 0.000 || 0.299 || 0.319 || 0.734 || 1.000 || 0.524 || 9.8269
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.625, 2.250) at 1566<math>f_b</math> || 0.063 || 0.915 || 0.578 || 0.000 || 0.180 || 0.264 || 0.734 || 1.000 || 0.524 || 9.0243
+
|BoCsin(5.625, 2.250) at 1566<math>f_b</math> || 0.063 || 0.915 || 0.578 || 0.000 || 0.180 || 0.264 || 0.734 || 1.000 || 0.524 || 9.9340
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.750, 2.375) at 1565<math>f_b</math> || 0.330 || 0.987 || 0.692 || 0.000 || 0.692 || 0.728 || 0.775 || 0.944 || 0.502 || 9.5021
+
|BoCsin(4.750, 2.375) at 1565<math>f_b</math> || 0.330 || 0.987 || 0.692 || 0.000 || 0.692 || 0.728 || 0.775 || 0.944 || 0.502 || 10.4647
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.750, 2.375) at 1566<math>f_b</math> || 0.330 || 0.273 || 0.692 || 0.000 || 0.642 || 0.646 || 0.775 || 0.944 || 0.502 || 9.2906
+
|BoCsin(4.750, 2.375) at 1566<math>f_b</math> || 0.330 || 0.273 || 0.692 || 0.000 || 0.642 || 0.646 || 0.775 || 0.944 || 0.502 || 10.2730
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.125, 2.500) at 1563<math>f_b</math> || 0.789 || 0.928 || 0.999 || 0.000 || 0.859 || 0.893 || 0.816 || 0.893 || 0.314 || 11.1446
+
|BoCsin(3.125, 2.500) at 1563<math>f_b</math> || 0.789 || 0.928 || 0.999 || 0.000 || 0.859 || 0.893 || 0.816 || 0.893 || 0.314 || 12.0623
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.000, 2.500) at 1565<math>f_b</math> || 0.201 || 0.074 || 0.659 || 0.000 || 0.600 || 0.690 || 0.816 || 0.774 || 0.402 || 7.7823
+
|BoCsin(5.000, 2.500) at 1565<math>f_b</math> || 0.201 || 0.074 || 0.659 || 0.000 || 0.600 || 0.690 || 0.816 || 0.774 || 0.402 || 9.0477
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.000, 2.500) at 1566<math>f_b</math> || 0.201 || 0.694 || 0.659 || 0.000 || 0.530 || 0.601 || 0.816 || 0.774 || 0.402 || 7.8763
+
|BoCsin(5.000, 2.500) at 1566<math>f_b</math> || 0.201 || 0.694 || 0.659 || 0.000 || 0.530 || 0.601 || 0.816 || 0.774 || 0.402 || 9.1287
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.250, 2.625) at 1565<math>f_b</math> || 0.079 || 0.210 || 0.630 || 0.000 || 0.508 || 0.573 || 0.857 || 0.994 || 0.311 || 8.0242
+
|BoCsin(5.250, 2.625) at 1565<math>f_b</math> || 0.079 || 0.210 || 0.630 || 0.000 || 0.508 || 0.573 || 0.857 || 0.994 || 0.311 || 9.3740
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.250, 2.625) at 1566<math>f_b</math> || 0.079 || 0.848 || 0.630 || 0.000 || 0.421 || 0.547 || 0.857 || 0.994 || 0.311 || 8.1694
+
|BoCsin(5.250, 2.625) at 1566<math>f_b</math> || 0.079 || 0.848 || 0.630 || 0.000 || 0.421 || 0.547 || 0.857 || 0.994 || 0.311 || 9.4985
 
|- align="center"
 
|- align="center"
−
|BoCcos(3.250, 1.750) at 1563<math>f_b</math> || 0.994 || 0.852 || 0.970 || 0.000 || 0.820 || 0.889 || 0.559 || 0.739 || 0.904 || 14.3574
+
|BoCcos(3.250, 1.750) at 1563<math>f_b</math> || 0.994 || 0.852 || 0.970 || 0.000 || 0.820 || 0.889 || 0.559 || 0.739 || 0.904 || 14.7015
 
|- align="center"
 
|- align="center"
−
|BoCcos(3.250, 1.875) at 1563<math>f_b</math> || 0.934 || 0.881 || 0.968 || 0.000 || 0.820 || 0.887 || 0.599 || 0.875 || 0.791 || 13.7019
+
|BoCcos(3.250, 1.875) at 1563<math>f_b</math> || 0.934 || 0.881 || 0.968 || 0.000 || 0.820 || 0.887 || 0.599 || 0.875 || 0.791 || 14.1146
 
|- align="center"
 
|- align="center"
−
|BoCcos(5.125, 1.875) at 1564<math>f_b</math> || 0.170 || 0.961 || 0.621 || 0.000 || 0.594 || 0.631 || 0.599 || 0.978 || 0.794 || 10.9660
+
|BoCcos(5.125, 1.875) at 1564<math>f_b</math> || 0.170 || 0.961 || 0.621 || 0.000 || 0.594 || 0.631 || 0.599 || 0.978 || 0.794 || 11.4774
 
|- align="center"
 
|- align="center"
−
|BoCcos(3.000, 2.000) at 1564<math>f_b</math> || 0.894 || 0.000 || 0.996 || 0.000 || 0.848 || 0.862 || 0.639 || 0.601 || 0.730 || 12.5836
+
|BoCcos(3.000, 2.000) at 1564<math>f_b</math> || 0.894 || 0.000 || 0.996 || 0.000 || 0.848 || 0.862 || 0.639 || 0.601 || 0.730 || 13.0923
 
|- align="center"
 
|- align="center"
−
|BoCcos(3.250, 2.000) at 1563<math>f_b</math> || 0.888 || 0.905 || 0.967 || 0.000 || 0.825 || 0.886 || 0.639 || 0.750 || 0.665 || 12.5294
+
|BoCcos(3.250, 2.000) at 1563<math>f_b</math> || 0.888 || 0.905 || 0.967 || 0.000 || 0.825 || 0.886 || 0.639 || 0.750 || 0.665 || 13.0402
 
|- align="center"
 
|- align="center"
−
|BoCcos(3.375, 2.250) at 1563<math>f_b</math> || 0.605 || 0.666 || 0.885 || 0.000 || 0.771 || 0.844 || 0.734 || 0.902 || 0.488 || 10.5714
+
|BoCcos(3.375, 2.250) at 1563<math>f_b</math> || 0.605 || 0.666 || 0.885 || 0.000 || 0.771 || 0.844 || 0.734 || 0.902 || 0.488 || 11.3579
 
|- align="center"
 
|- align="center"
−
|BoCcos(3.125, 2.500) at 1563<math>f_b</math> || 0.790 || 0.922 || 1.000 || 0.000 || 0.860 || 0.893 || 0.816 || 0.893 || 0.314 || 11.1510
+
|BoCcos(3.125, 2.500) at 1563<math>f_b</math> || 0.790 || 0.922 || 1.000 || 0.000 || 0.860 || 0.893 || 0.816 || 0.893 || 0.314 || 12.0682
 
|- align="center"
 
|- align="center"
−
|BoCcos(2.750, 2.750) at 1565<math>f_b</math> || 0.669 || 0.723 || 0.996 || 0.000 || 1.000 || 1.000 || 0.897 || 0.568 || 0.188 || 9.4784
+
|BoCcos(2.750, 2.750) at 1565<math>f_b</math> || 0.669 || 0.723 || 0.996 || 0.000 || 1.000 || 1.000 || 0.897 || 0.568 || 0.188 || 10.7525
 
|- align="center"
 
|- align="center"
−
|BoCcos(2.875, 2.875) at 1564<math>f_b</math> || 0.559 || 0.848 || 0.953 || 0.000 || 0.856 || 0.867 || 0.938 || 0.856 || 0.095 || 9.4882
+
|BoCcos(2.875, 2.875) at 1564<math>f_b</math> || 0.559 || 0.848 || 0.953 || 0.000 || 0.856 || 0.867 || 0.938 || 0.856 || 0.095 || 10.8720
 
|- align="center"
 
|- align="center"
−
|BoCcos(3.000, 3.000) at 1564<math>f_b</math> || 0.453 || 0.418 || 0.913 || 0.000 || 0.833 || 0.845 || 1.000 || 0.644 || 0.000 || 8.1434
+
|BoCcos(3.000, 3.000) at 1564<math>f_b</math> || 0.453 || 0.418 || 0.913 || 0.000 || 0.833 || 0.845 || 1.000 || 0.644 || 0.000 || 9.9154
 
|}  
 
|}  
 
{{wl-publish: 2011-12-03 04:13:19 +0400 | Korogodin }}
 
{{wl-publish: 2011-12-03 04:13:19 +0400 | Korogodin }}

Версия 22:23, 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 0.792 0.000 0.966 0.972 0.145 0.996 0.989 0.4448
BoCsin(0.500, 0.500) at 1565f_b 0.582 0.727 0.397 0.000 0.949 0.961 0.304 0.868 0.608 0.3888
BoCsin(1.000, 1.000) at 1565f_b 0.195 1.000 0.198 0.000 0.902 0.927 0.638 1.000 0.226 0.4452
BoCcos(0.250, 0.250) at 1565f_b 0.886 0.485 0.614 0.000 0.947 0.959 0.145 0.998 0.833 0.4398
BPSK(0.500) at 1565f_b 1.000 0.000 1.000 0.000 0.987 0.988 0.145 0.997 1.000 0.4553
BPSK(0.500) at 1566f_b 1.000 0.117 1.000 0.000 1.000 1.000 0.145 0.997 1.000 0.4559
BPSK(0.500) at 1570f_b 1.000 0.842 1.000 0.000 0.000 0.000 0.145 0.997 1.000 0.4548
BPSK(0.750) at 1565f_b 0.774 0.091 0.642 0.000 0.976 0.980 0.228 0.804 0.759 0.3659
BPSK(1.000) at 1565f_b 0.613 0.201 0.481 0.000 0.968 0.974 0.304 0.908 0.603 0.3960
BPSK(1.000) at 1566f_b 0.613 0.360 0.481 0.000 0.975 0.979 0.304 0.908 0.603 0.3981
BPSK(1.250) at 1565f_b 0.489 0.350 0.386 0.000 0.960 0.969 0.389 0.931 0.484 0.4029
BPSK(1.500) at 1565f_b 0.387 0.431 0.321 0.000 0.952 0.963 0.478 0.731 0.383 0.3313
BPSK(2.000) at 1565f_b 0.226 0.463 0.241 0.000 0.936 0.951 0.638 0.731 0.226 0.3342
BPSK(2.500) at 1565f_b 0.102 0.599 0.192 0.000 0.919 0.938 0.815 0.997 0.101 0.4383
BPSK(3.000) at 1565f_b 0.000 0.844 0.160 0.000 0.905 0.927 1.000 0.997 0.000 0.4527

L1SC

Multi-objective optimization for L1SC signal
Signal Antijamming
w=8.00 		Astronomy
w=2.00 		Accurancy
w=6.00 		MultiPath
w=2.00 		Inter from GPS
w=2.00 		Inter to GPS
w=1.00 		Search
w=6.00 		Complexity
w=6.00 		Intra
w=10.00 		Norm
BoCsin(3.250, 1.750) at 1563f_b 1.000 0.848 0.971 0.000 0.822 0.891 0.559 0.739 0.929 14.8836
BoCsin(6.125, 1.750) at 1565f_b 0.036 0.151 0.525 0.000 0.000 0.000 0.559 0.900 0.985 12.1448
BoCsin(3.250, 1.875) at 1563f_b 0.936 0.887 0.969 0.000 0.821 0.888 0.599 0.875 0.803 14.1925
BoCsin(3.750, 1.875) at 1568f_b 0.915 0.610 0.878 0.000 0.924 0.910 0.599 0.912 1.000 15.1643
BoCsin(5.125, 1.875) at 1564f_b 0.171 0.953 0.621 0.000 0.593 0.631 0.599 0.978 0.749 11.1638
BoCsin(5.625, 1.875) at 1565f_b 0.166 0.415 0.577 0.000 0.216 0.240 0.599 0.872 0.894 11.6155
BoCsin(3.250, 2.000) at 1563f_b 0.889 0.910 0.967 0.000 0.825 0.886 0.639 0.750 0.665 13.0509
BoCsin(4.000, 2.000) at 1567f_b 0.750 0.976 0.822 0.000 0.928 0.917 0.639 0.709 0.852 13.1852
BoCsin(4.000, 2.000) at 1568f_b 0.750 0.615 0.822 0.000 0.899 0.918 0.639 0.709 0.852 13.0900
BoCsin(5.000, 2.000) at 1564f_b 0.352 0.976 0.650 0.000 0.756 0.804 0.639 0.748 0.770 11.1337
BoCsin(5.000, 2.000) at 1565f_b 0.352 0.561 0.650 0.000 0.538 0.648 0.639 0.748 0.770 10.9568
BoCsin(5.000, 2.000) at 1566f_b 0.352 0.406 0.650 0.000 0.427 0.518 0.639 0.748 0.770 10.9029
BoCsin(5.000, 2.000) at 1567f_b 0.352 1.000 0.650 0.000 0.658 0.688 0.639 0.748 0.770 11.1096
BoCsin(6.000, 2.000) at 1565f_b 0.000 0.718 0.538 0.000 0.080 0.083 0.639 0.676 0.720 9.7743
BoCsin(4.250, 2.125) at 1567f_b 0.606 0.488 0.776 0.000 0.884 0.862 0.693 0.928 0.725 12.2867
BoCsin(4.500, 2.250) at 1566f_b 0.462 0.130 0.732 0.000 0.750 0.732 0.734 0.823 0.628 10.9093
BoCsin(4.500, 2.250) at 1567f_b 0.462 0.793 0.732 0.000 0.828 0.811 0.734 0.823 0.628 11.0488
BoCsin(5.625, 2.250) at 1565f_b 0.063 0.494 0.578 0.000 0.299 0.319 0.734 1.000 0.524 9.8269
BoCsin(5.625, 2.250) at 1566f_b 0.063 0.915 0.578 0.000 0.180 0.264 0.734 1.000 0.524 9.9340
BoCsin(4.750, 2.375) at 1565f_b 0.330 0.987 0.692 0.000 0.692 0.728 0.775 0.944 0.502 10.4647
BoCsin(4.750, 2.375) at 1566f_b 0.330 0.273 0.692 0.000 0.642 0.646 0.775 0.944 0.502 10.2730
BoCsin(3.125, 2.500) at 1563f_b 0.789 0.928 0.999 0.000 0.859 0.893 0.816 0.893 0.314 12.0623
BoCsin(5.000, 2.500) at 1565f_b 0.201 0.074 0.659 0.000 0.600 0.690 0.816 0.774 0.402 9.0477
BoCsin(5.000, 2.500) at 1566f_b 0.201 0.694 0.659 0.000 0.530 0.601 0.816 0.774 0.402 9.1287
BoCsin(5.250, 2.625) at 1565f_b 0.079 0.210 0.630 0.000 0.508 0.573 0.857 0.994 0.311 9.3740
BoCsin(5.250, 2.625) at 1566f_b 0.079 0.848 0.630 0.000 0.421 0.547 0.857 0.994 0.311 9.4985
BoCcos(3.250, 1.750) at 1563f_b 0.994 0.852 0.970 0.000 0.820 0.889 0.559 0.739 0.904 14.7015
BoCcos(3.250, 1.875) at 1563f_b 0.934 0.881 0.968 0.000 0.820 0.887 0.599 0.875 0.791 14.1146
BoCcos(5.125, 1.875) at 1564f_b 0.170 0.961 0.621 0.000 0.594 0.631 0.599 0.978 0.794 11.4774
BoCcos(3.000, 2.000) at 1564f_b 0.894 0.000 0.996 0.000 0.848 0.862 0.639 0.601 0.730 13.0923
BoCcos(3.250, 2.000) at 1563f_b 0.888 0.905 0.967 0.000 0.825 0.886 0.639 0.750 0.665 13.0402
BoCcos(3.375, 2.250) at 1563f_b 0.605 0.666 0.885 0.000 0.771 0.844 0.734 0.902 0.488 11.3579
BoCcos(3.125, 2.500) at 1563f_b 0.790 0.922 1.000 0.000 0.860 0.893 0.816 0.893 0.314 12.0682
BoCcos(2.750, 2.750) at 1565f_b 0.669 0.723 0.996 0.000 1.000 1.000 0.897 0.568 0.188 10.7525
BoCcos(2.875, 2.875) at 1564f_b 0.559 0.848 0.953 0.000 0.856 0.867 0.938 0.856 0.095 10.8720
BoCcos(3.000, 3.000) at 1564f_b 0.453 0.418 0.913 0.000 0.833 0.845 1.000 0.644 0.000 9.9154

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

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Источник — «https://blog.srns.ru/index.php?title=Blog:Korogodin/02.12.2011,_Результаты_многокритериальной_оптимизации&oldid=5578»
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