how I can create matrix of amout of fun after for loop ???

3 views (last 30 days)
sogol bandekian
sogol bandekian on 27 May 2022
Answered: Jan on 27 May 2022
in function below I tried to define uncertain value for a & b and then get the amount of fun in uncertain a and b,but after for loop how I can have matrix of fun when different value a and b enter it?
clc;
clear;
close all;
na=10;
a=linspace(-5,5,na);
b=[-3 -1 2 3 4];
nb=numel(b);
%x=zeros(na,nb);
for i=1:na
for j=1:nb
fun= @(x) x(1)^2+x(2)^2-(x(1)+x(2))*(a(i)+b(j))^2+2*a(i)*b(j)+5*a(i)+3*b(j);
end
%define matrixi fun(a(i)),fun(b(j))
options=optimoptions('ga','Display','iter','PlotFcns',@gaplotbestf);
[x,fval,exitFlag,output,population,scores]=ga(fun,2,[],[],[],[],[],[],[],options);
%x(i,j)=zeros(fun(i,j));
end
  2 Comments
Jeffrey Clark
Jeffrey Clark on 27 May 2022
You can create a matrix of fun; see Create Function Handle. But in any case 'ga' will only solve one function at a time, so you could just put the 'ga' right after the fun definition within the loops.
If there is a function to solve a matrix of equations you might be able to state your function using row/col vector for a/b to create it.
DGM
DGM on 27 May 2022
I don't know if I'd be much help. Most of the matrices I deal with aren't fun at all.

Sign in to comment.

Sign in to answer this question.

Accepted Answer

Jan
Jan on 27 May 2022
Ran in:
Maybe you mean:
na = 10;
a = linspace(-5,5,na);
b = [-3 -1 2 3 4];
nb = numel(b);
options = optimoptions('ga','Display','iter');
x = zeros(2, na, nb);
for i = 1:na
for j = 1:nb
fun = @(x) x(1)^2+x(2)^2-(x(1)+x(2))*(a(i)+b(j))^2+2*a(i)*b(j)+5*a(i)+3*b(j);
[x(:, i, j), fval,exitFlag,output,population,scores] = ...
ga(fun,2,[],[],[],[],[],[],[],options);
end
end
Single objective optimization: 2 Variable(s) Options: CreationFcn: @gacreationuniform CrossoverFcn: @crossoverscattered SelectionFcn: @selectionstochunif MutationFcn: @mutationgaussian Best Mean Stall Generation Func-count f(x) f(x) Generations 1 100 -1829 39.53 0 2 147 -1829 -56.26 1 3 194 -1929 -675.1 0 4 241 -2052 -1230 0 5 288 -2052 -1373 1 6 335 -2052 -1474 2 7 382 -2052 -1459 3 8 429 -2052 -1559 4 9 476 -2052 -1752 5 10 523 -2052 -1674 6 11 570 -2052 -1745 7 12 617 -2052 -1835 8 13 664 -2052 -1934 9 14 711 -2052 -1845 10 15 758 -2052 -1900 11 16 805 -2052 -1835 12 17 852 -2052 -1845 13 18 899 -2052 -1754 14 19 946 -2052 -1798 15 20 993 -2052 -1821 16 21 1040 -2052 -1771 17 22 1087 -2052 -1747 18 23 1134 -2052 -1714 19 24 1181 -2052 -1789 20 25 1228 -2052 -1845 21 26 1275 -2052 -1827 22 27 1322 -2052 -1772 23 28 1369 -2052 -1775 24 29 1416 -2052 -1846 25 30 1463 -2052 -1673 26 Best Mean Stall Generation Func-count f(x) f(x) Generations 31 1510 -2052 -1782 27 32 1557 -2052 -1726 28 33 1604 -2052 -1789 29 34 1651 -2052 -1780 30 35 1698 -2052 -1829 31 36 1745 -2052 -1841 32 37 1792 -2052 -1817 33 38 1839 -2052 -1903 34 39 1886 -2052 -1926 35 40 1933 -2052 -1904 36 41 1980 -2052 -1878 37 42 2027 -2052 -1838 38 43 2074 -2052 -1881 39 44 2121 -2052 -1868 0 45 2168 -2052 -1887 1 46 2215 -2052 -1893 2 47 2262 -2052 -1904 3 48 2309 -2052 -1887 4 49 2356 -2052 -1821 5 50 2403 -2052 -1888 6 51 2450 -2052 -1858 7 52 2497 -2052 -1823 8 53 2544 -2052 -1905 9 54 2591 -2052 -1918 10 Optimization terminated: average change in the fitness value less than options.FunctionTolerance. Single objective optimization: 2 Variable(s) Options: CreationFcn: @gacreationuniform CrossoverFcn: @crossoverscattered SelectionFcn: @selectionstochunif MutationFcn: @mutationgaussian Best Mean Stall Generation Func-count f(x) f(x) Generations 1 100 -493.3 72.78 0 2 147 -585.4 60.04 0 3 194 -639.1 -92.27 0 4 241 -639.1 -107.2 1 5 288 -639.1 -53.84 2 6 335 -639.1 -166.1 3 7 382 -650.1 -317.8 0 8 429 -658.3 -168.7 0 9 476 -658.3 -250 1 10 523 -658.3 -405.1 2 11 570 -665.6 -318.1 0 12 617 -665.8 -479.2 0 13 664 -665.8 -456.5 1 14 711 -665.8 -534.9 0 15 758 -665.8 -442.3 1 16 805 -665.8 -449.8 2 17 852 -665.8 -435.8 3 18 899 -665.8 -528.4 4 19 946 -665.8 -452.4 5 20 993 -665.8 -379.4 6 21 1040 -665.8 -355.5 7 22 1087 -665.8 -527.1 8 23 1134 -665.8 -470.4 9 24 1181 -666 -505.8 0 25 1228 -666 -507.6 1 26 1275 -666 -447.6 2 27 1322 -666 -477.4 3 28 1369 -666 -437.2 4 29 1416 -666 -374.1 5 30 1463 -666 -314.5 6 Best Mean Stall Generation Func-count f(x) f(x) Generations 31 1510 -666 -421.1 7 32 1557 -666 -410 8 33 1604 -666 -352.2 9 34 1651 -666 -451.6 10 35 1698 -666 -382.5 11 36 1745 -666 -339.9 12 37 1792 -666 -407.4 13 38 1839 -666 -390.9 14 39 1886 -666 -429.7 15 40 1933 -666 -462.4 16 41 1980 -666 -499.3 17 42 2027 -666 -484.7 18 43 2074 -666 -518.1 19 44 2121 -666 -482.6 20 45 2168 -666 -512.1 21 46 2215 -666 -489.9 22 47 2262 -666 -441.9 23 48 2309 -666 -504 24 49 2356 -666 -468.4 25 50 2403 -666 -535.1 26 51 2450 -666 -467.6 27 52 2497 -666 -486.7 28 53 2544 -666 -525.4 29 54 2591 -666 -497.7 30 55 2638 -666 -570.1 31 56 2685 -666 -515.2 32 57 2732 -666 -520.2 33 58 2779 -666 -501.8 34 59 2826 -666 -479.6 35 60 2873 -666 -529.6 36 Best Mean Stall Generation Func-count f(x) f(x) Generations 61 2920 -666 -546.3 37 62 2967 -666 -515.5 38 63 3014 -666 -502.3 39 64 3061 -666 -458 40 65 3108 -666 -442.7 41 66 3155 -666 -499.7 42 67 3202 -666 -549.6 43 68 3249 -666 -518.5 44 69 3296 -666 -524.5 45 70 3343 -666 -534.9 46 71 3390 -666 -529.2 47 72 3437 -666 -545.3 48 73 3484 -666 -583.9 49 74 3531 -666 -568.2 50 Optimization terminated: average change in the fitness value less than options.FunctionTolerance. Single objective optimization: 2 Variable(s) Options: CreationFcn: @gacreationuniform CrossoverFcn: @crossoverscattered SelectionFcn: @selectionstochunif MutationFcn: @mutationgaussian Best Mean Stall Generation Func-count f(x) f(x) Generations 1 100 -77.42 122.5 0 2 147 -77.42 168.1 1 3 194 -79.03 294 0 4 241 -79.03 442 1 5 288 -79.03 402.6 2 6 335 -79.35 321.2 0 7 382 -79.35 356.4 1 8 429 -79.35 394.5 2 9 476 -79.35 407 3 10 523 -79.35 311.3 4 11 570 -79.35 110.1 5 12 617 -79.35 248.1 6 13 664 -79.35 194 7 14 711 -79.35 251.4 8 15 758 -79.35 236.1 9 16 805 -79.35 289.8 10 17 852 -79.35 257.1 11 18 899 -79.35 284.3 12 19 946 -79.35 187.3 13 20 993 -79.47 223 0 21 1040 -79.47 230.6 1 22 1087 -79.47 169.3 2 23 1134 -79.47 143.8 3 24 1181 -79.47 295.6 4 25 1228 -79.47 385.2 5 26 1275 -79.47 288.5 6 27 1322 -79.47 141.3 7 28 1369 -79.47 86.36 8 29 1416 -79.47 167.3 9 30 1463 -79.47 146 10 Best Mean Stall Generation Func-count f(x) f(x) Generations 31 1510 -79.47 118.4 11 32 1557 -79.47 92.45 12 33 1604 -79.47 94.29 13 34 1651 -79.47 158.1 14 35 1698 -79.47 120.4 15 36 1745 -79.47 179 16 37 1792 -79.47 240.8 17 38 1839 -79.47 245.9 18 39 1886 -79.47 135.8 19 40 1933 -79.47 137.7 20 41 1980 -79.47 173.2 21 42 2027 -79.47 170.1 22 43 2074 -79.47 186.9 23 44 2121 -79.47 306.6 24 45 2168 -79.47 356.3 25 46 2215 -79.47 77.23 26 47 2262 -79.47 39.67 27 48 2309 -79.47 70.41 28 49 2356 -79.47 56.39 29 50 2403 -79.47 33.36 30 51 2450 -79.47 47.96 31 52 2497 -79.47 88.02 32 53 2544 -79.47 133.3 33 54 2591 -79.47 137.9 34 55 2638 -79.47 150.4 35 56 2685 -79.47 104.6 36 57 2732 -79.47 85.89 37 58 2779 -79.47 89.02 38 59 2826 -79.47 87.12 39 60 2873 -79.47 53.39 40 Best Mean Stall Generation Func-count f(x) f(x) Generations 61 2920 -79.47 52.64 41 62 2967 -79.47 48.84 42 63 3014 -79.47 76.41 43 64 3061 -79.47 69.08 44 65 3108 -79.47 88.3 45 66 3155 -79.47 62.59 46 67 3202 -79.47 63.99 47 68 3249 -79.47 34.35 48 69 3296 -79.47 19.73 49 70 3343 -79.47 9.884 50 Optimization terminated: average change in the fitness value less than options.FunctionTolerance. Single objective optimization: 2 Variable(s) Options: CreationFcn: @gacreationuniform CrossoverFcn: @crossoverscattered SelectionFcn: @selectionstochunif MutationFcn: @mutationgaussian Best Mean Stall Generation Func-count f(x) f(x) Generations 1 100 -52.76 135.3 0 2 147 -52.76 173 1 3 194 -53.12 301.5 0 4 241 -53.88 253.6 0 5 288 -53.88 249.8 1 6 335 -53.99 230.7 0 7 382 -53.99 156.3 1 8 429 -53.99 126.9 2 9 476 -53.99 156.9 3 10 523 -53.99 121.9 4 11 570 -53.99 305.9 5 12 617 -53.99 277.1 6 13 664 -53.99 199.6 7 14 711 -53.99 259.7 8 15 758 -53.99 102.2 9 16 805 -53.99 172.4 10 17 852 -53.99 130.5 11 18 899 -53.99 214.1 12 19 946 -53.99 317.9 13 20 993 -53.99 113.4 14 21 1040 -53.99 138.1 15 22 1087 -53.99 133.5 16 23 1134 -53.99 126.2 17 24 1181 -53.99 151.1 18 25 1228 -53.99 137.6 19 26 1275 -53.99 145.5 20 27 1322 -53.99 143.3 21 28 1369 -53.99 184.6 22 29 1416 -53.99 126.4 23 30 1463 -53.99 189.6 24 Best Mean Stall Generation Func-count f(x) f(x) Generations 31 1510 -53.99 150.5 25 32 1557 -53.99 262.4 26 33 1604 -53.99 265.2 27 34 1651 -53.99 294.8 28 35 1698 -53.99 166.1 29 36 1745 -53.99 140.5 30 37 1792 -53.99 79.83 31 38 1839 -53.99 74.67 32 39 1886 -53.99 98.43 33 40 1933 -53.99 79.88 34 41 1980 -53.99 34.13 35 42 2027 -53.99 37.68 36 43 2074 -53.99 147.1 37 44 2121 -53.99 133.8 38 45 2168 -53.99 100.3 39 46 2215 -53.99 100.7 40 47 2262 -53.99 117.6 41 48 2309 -53.99 114.4 42 49 2356 -53.99 112.8 43 50 2403 -53.99 83.82 44 51 2450 -53.99 129 45 52 2497 -53.99 108.2 46 53 2544 -53.99 112.6 47 54 2591 -53.99 87.22 48 55 2638 -53.99 114.2 49 56 2685 -53.99 103 50 Optimization terminated: average change in the fitness value less than options.FunctionTolerance. Single objective optimization: 2 Variable(s) Options: CreationFcn: @gacreationuniform CrossoverFcn: @crossoverscattered SelectionFcn: @selectionstochunif MutationFcn: @mutationgaussian Best Mean Stall Generation Func-count f(x) f(x) Generations 1 100 -53.09 136.7 0 2 147 -53.09 226.3 1 3 194 -53.09 164.1 2 4 241 -53.09 269.5 3 5 288 -53.09 183.1 4 6 335 -53.09 137.8 5 7 382 -53.09 200.3 6 8 429 -53.09 184.6 7 9 476 -53.09 179.5 0 10 523 -53.09 235.4 1 11 570 -53.09 247.9 2 12 617 -53.09 273.7 3 13 664 -53.09 443.2 4 14 711 -53.09 330.2 5 15 758 -53.09 340.9 6 16 805 -53.09 158.3 7 17 852 -53.09 237.8 8 18 899 -53.09 145.6 9 19 946 -53.09 97.71 10 20 993 -53.09 100 11 21 1040 -53.09 185.2 12 22 1087 -53.09 237.6 13 23 1134 -53.45 163.5 0 24 1181 -53.45 109.6 1 25 1228 -53.45 127.3 2 26 1275 -53.45 155.8 3 27 1322 -53.49 148.1 0 28 1369 -53.49 163.7 1 29 1416 -53.49 226.6 2 30 1463 -53.49 183.8 3 Best Mean Stall Generation Func-count f(x) f(x) Generations 31 1510 -53.49 150.5 4 32 1557 -53.49 136.5 5 33 1604 -53.49 120.2 6 34 1651 -53.49 145.7 7 35 1698 -53.49 170.3 8 36 1745 -53.49 138.1 9 37 1792 -53.49 167.9 10 38 1839 -53.49 201.2 11 39 1886 -53.49 130.6 12 40 1933 -53.49 171.5 13 41 1980 -53.49 194.5 14 42 2027 -53.49 147.7 15 43 2074 -53.49 218.5 16 44 2121 -53.49 194.5 17 45 2168 -53.49 130.8 18 46 2215 -53.49 89.42 19 47 2262 -53.49 144.7 20 48 2309 -53.49 72.22 21 49 2356 -53.49 132.5 22 50 2403 -53.49 144.3 23 51 2450 -53.49 128.6 24 52 2497 -53.49 159 25 53 2544 -53.49 92.75 26 54 2591 -53.49 75.75 27 55 2638 -53.49 36.56 28 56 2685 -53.49 55.88 29 57 2732 -53.49 7.362 30 58 2779 -53.49 51.61 31 59 2826 -53.49 64.83 32 60 2873 -53.49 50.8 33 Best Mean Stall Generation Func-count f(x) f(x) Generations 61 2920 -53.49 57.31 34 62 2967 -53.49 27.19 35 63 3014 -53.49 29.4 36 64 3061 -53.49 17.53 37 65 3108 -53.49 69.59 38 66 3155 -53.49 98.22 39 67 3202 -53.49 95.47 40 68 3249 -53.49 91.96 41 69 3296 -53.49 95.2 42 70 3343 -53.49 91.16 43 71 3390 -53.49 104.3 44 72 3437 -53.49 130.5 45 73 3484 -53.49 80.64 46 74 3531 -53.49 73.46 47 75 3578 -53.49 45.74 48 76 3625 -53.49 35.05 49 77 3672 -53.49 85.51 50 Optimization terminated: average change in the fitness value less than options.FunctionTolerance. Single objective optimization: 2 Variable(s) Options: CreationFcn: @gacreationuniform CrossoverFcn: @crossoverscattered SelectionFcn: @selectionstochunif MutationFcn: @mutationgaussian Best Mean Stall Generation Func-count f(x) f(x) Generations 1 100 -818.6 -0.2311 0 2 147 -1085 -147.9 0 3 194 -1085 -172 1 4 241 -1093 -320.7 0 5 288 -1117 -630.3 0 6 335 -1117 -678.9 1 7 382 -1118 -679.9 0 8 429 -1127 -825.7 0 9 476 -1127 -941.3 0 10 523 -1129 -824.3 0 11 570 -1131 -848.8 0 12 617 -1131 -913.5 0 13 664 -1131 -1007 0 14 711 -1131 -1019 1 15 758 -1131 -940.6 2 16 805 -1131 -893.6 3 17 852 -1131 -785.2 4 18 899 -1131 -813.3 5 19 946 -1131 -784.2 6 20 993 -1131 -820 7 21 1040 -1131 -821.5 8 22 1087 -1131 -855.9 9 23 1134 -1131 -924.8 10 24 1181 -1131 -881.3 11 25 1228 -1131 -900 12 26 1275 -1131 -977 13 27 1322 -1131 -915.2 14 28 1369 -1131 -927.3 15 29 1416 -1131 -925.1 16 30 1463 -1131 -836 17 Best Mean Stall Generation Func-count f(x) f(x) Generations 31 1510 -1131 -860.1 18 32 1557 -1131 -843.1 19 33 1604 -1131 -765.3 20 34 1651 -1131 -946.5 21 35 1698 -1131 -881.9 22 36 1745 -1131 -851 23 37 1792 -1131 -900.6 24 38 1839 -1131 -914.5 25 39 1886 -1131 -935.9 26 40 1933 -1131 -952.3 27 41 1980 -1131 -931.2 28 42 2027 -1131 -876.9 0 43 2074 -1131 -944.1 1 44 2121 -1131 -896.6 2 45 2168 -1131 -927.6 3 46 2215 -1131 -948.3 4 47 2262 -1131 -1026 5 48 2309 -1131 -997.2 6 49 2356 -1131 -951.8 7 50 2403 -1131 -1008 8 51 2450 -1131 -927.7 9 52 2497 -1131 -909.5 0 53 2544 -1131 -942 1 54 2591 -1131 -974.5 2 55 2638 -1131 -929.5 3 56 2685 -1131 -852.7 4 57 2732 -1131 -903.4 5 58 2779 -1131 -845.1 6 59 2826 -1131 -837.4 7 60 2873 -1131 -874.5 8 Best Mean Stall Generation Func-count f(x) f(x) Generations 61 2920 -1131 -995.7 9 62 2967 -1131 -993.7 10 63 3014 -1131 -977.6 11 64 3061 -1131 -1003 12 65 3108 -1131 -1014 13 66 3155 -1131 -1013 14 67 3202 -1131 -985.7 15 68 3249 -1131 -997 16 69 3296 -1131 -997.1 17 70 3343 -1131 -998.1 18 71 3390 -1131 -1062 19 72 3437 -1131 -1027 20 73 3484 -1131 -981.7 21 74 3531 -1131 -1042 22 75 3578 -1131 -1010 23 76 3625 -1131 -1051 24 77 3672 -1131 -1032 25 78 3719 -1131 -986.2 26 79 3766 -1131 -1029 27 80 3813 -1131 -1026 28 81 3860 -1131 -1010 29 82 3907 -1131 -988.9 30 83 3954 -1131 -1039 31 84 4001 -1131 -1062 32 85 4048 -1131 -1053 33 86 4095 -1131 -1004 34 87 4142 -1131 -1037 35 88 4189 -1131 -1046 36 89 4236 -1131 -1011 37 90 4283 -1131 -1024 38 Best Mean Stall Generation Func-count f(x) f(x) Generations 91 4330 -1131 -1062 39 92 4377 -1131 -1060 40 Optimization terminated: average change in the fitness value less than options.FunctionTolerance. Single objective optimization: 2 Variable(s) Options: CreationFcn: @gacreationuniform CrossoverFcn: @crossoverscattered SelectionFcn: @selectionstochunif MutationFcn: @mutationgaussian Best Mean Stall Generation Func-count f(x) f(x) Generations 1 100 -268 156.4 0 2 147 -268 138.4 1 3 194 -288.2 116.1 0 4 241 -290.5 106.1 0 5 288 -290.5 -6.879 1 6 335 -290.5 110.1 2 7 382 -290.5 116.2 3 8 429 -290.5 -28.8 4 9 476 -293.9 33.18 0 10 523 -297.7 -84.83 0 11 570 -297.7 -47.02 1 12 617 -297.8 -59.87 0 13 664 -297.8 -67.85 1 14 711 -298.6 -34.43 0 15 758 -298.6 -38.67 1 16 805 -298.6 -21.06 2 17 852 -298.6 -2.343 3 18 899 -298.6 57.86 4 19 946 -298.6 13.41 5 20 993 -299.7 -12.76 0 21 1040 -299.7 25.59 1 22 1087 -299.7 21.18 2 23 1134 -299.7 -30.55 3 24 1181 -299.7 49.47 4 25 1228 -299.8 25.56 0 26 1275 -299.8 -53.25 1 27 1322 -299.8 -62.47 2 28 1369 -299.8 -115.3 3 29 1416 -299.8 -99.84 4 30 1463 -299.8 -67.38 5 Best Mean Stall Generation Func-count f(x) f(x) Generations 31 1510 -299.8 -20.75 6 32 1557 -299.8 -56.87 7 33 1604 -299.8 -101.1 8 34 1651 -299.8 -19.17 9 35 1698 -299.8 -15.37 10 36 1745 -299.8 8.065 11 37 1792 -299.8 91.33 12 38 1839 -299.8 101.9 13 39 1886 -299.8 -50.08 14 40 1933 -299.8 -43.39 15 41 1980 -299.9 -99.51 0 42 2027 -299.9 -87.06 1 43 2074 -299.9 -86.85 2 44 2121 -299.9 -71.64 3 45 2168 -299.9 -106 4 46 2215 -299.9 -179 5 47 2262 -299.9 -163.3 6 48 2309 -299.9 -119.2 7 49 2356 -299.9 -97.34 8 50 2403 -299.9 -150.2 9 51 2450 -299.9 -120.8 10 52 2497 -299.9 -167.7 11 53 2544 -299.9 -170.6 12 54 2591 -299.9 -165.2 13 55 2638 -299.9 -149.6 14 56 2685 -299.9 -170.6 15 57 2732 -299.9 -189 16 58 2779 -299.9 -168.3 17 59 2826 -299.9 -187.1 18 60 2873 -299.9 -127.9 19 Best Mean Stall Generation Func-count f(x) f(x) Generations 61 2920 -299.9 -120.8 20 62 2967 -299.9 -167.1 21 63 3014 -299.9 -193.9 22 64 3061 -299.9 -190.5 23 65 3108 -299.9 -161.2 24 66 3155 -299.9 -126.5 25 67 3202 -299.9 -111.1 26 68 3249 -299.9 -103.7 27 69 3296 -299.9 -114.7 28 70 3343 -299.9 -161.8 29 71 3390 -299.9 -236 30 72 3437 -299.9 -153.9 31 73 3484 -299.9 -188.2 32 74 3531 -299.9 -206.9 33 75 3578 -299.9 -179.8 34 76 3625 -299.9 -141.4 35 77 3672 -299.9 -155.3 36 78 3719 -299.9 -158.9 37 79 3766 -299.9 -141.9 38 80 3813 -300 -216.3 0 81 3860 -300.1 -200.9 0 82 3907 -300.1 -223.8 1 83 3954 -300.1 -238.7 2 84 4001 -300.1 -215.5 3 85 4048 -300.1 -212.4 4 86 4095 -300.1 -223.4 5 87 4142 -300.1 -183.4 6 88 4189 -300.1 -189 7 89 4236 -300.2 -182.3 0 90 4283 -300.2 -194.3 1 Best Mean Stall Generation Func-count f(x) f(x) Generations 91 4330 -300.2 -186.2 2 92 4377 -300.2 -153.9 3 93 4424 -300.2 -189.1 4 94 4471 -300.2 -175.4 5 95 4518 -300.2 -189.8 0 96 4565 -300.2 -196.9 1 97 4612 -300.2 -216.1 2 98 4659 -300.2 -192.3 3 99 4706 -300.2 -230.5 4 100 4753 -300.2 -248.4 5 101 4800 -300.2 -239.3 6 102 4847 -300.2 -222.7 7 103 4894 -300.2 -227.5 8 104 4941 -300.2 -214 9 105 4988 -300.2 -237.6 10 106 5035 -300.2 -240.3 11 107 5082 -300.2 -255.4 12 108 5129 -300.2 -280.7 13 109 5176 -300.2 -270.9 14 110 5223 -300.2 -276.2 15 111 5270 -300.2 -244.4 16 112 5317 -300.2 -209.8 17 113 5364 -300.2 -233.8 18 114 5411 -300.2 -234 19 115 5458 -300.2 -248.5 20 116 5505 -300.2 -250.8 21 117 5552 -300.2 -270.5 22 118 5599 -300.2 -256.5 23 119 5646 -300.2 -234.8 24 120 5693 -300.3 -255.5 0 Best Mean Stall Generation Func-count f(x) f(x) Generations 121 5740 -300.3 -261.5 1 122 5787 -300.3 -270.5 2 123 5834 -300.3 -268.7 0 124 5881 -300.3 -261.8 1 125 5928 -300.3 -247.5 2 126 5975 -300.3 -258 3 127 6022 -300.3 -268.3 4 128 6069 -300.3 -257.3 5 129 6116 -300.3 -265.7 6 130 6163 -300.3 -271.1 7 131 6210 -300.3 -259.8 8 132 6257 -300.3 -257.5 9 133 6304 -300.3 -264.3 10 134 6351 -300.3 -265.1 11 135 6398 -300.3 -263.9 12 136 6445 -300.3 -268.9 13 137 6492 -300.3 -266.3 14 138 6539 -300.3 -279.7 15 139 6586 -300.3 -273.7 16 140 6633 -300.3 -276.3 17 141 6680 -300.3 -275.3 18 142 6727 -300.3 -271.2 19 143 6774 -300.3 -277.4 20 144 6821 -300.3 -275.5 21 145 6868 -300.3 -267.1 22 146 6915 -300.3 -270.8 23 147 6962 -300.3 -271.8 0 148 7009 -300.3 -281.6 1 149 7056 -300.3 -282.6 2 150 7103 -300.3 -286.2 3 Best Mean Stall Generation Func-count f(x) f(x) Generations 151 7150 -300.3 -283.2 4 152 7197 -300.3 -287.2 5 153 7244 -300.3 -278.5 6 154 7291 -300.3 -279.3 7 155 7338 -300.3 -283.5 8 156 7385 -300.3 -289.9 9 157 7432 -300.3 -288.8 10 158 7479 -300.3 -286.1 11 159 7526 -300.3 -288.4 12 160 7573 -300.3 -288.7 13 161 7620 -300.3 -288.1 14 162 7667 -300.3 -287.7 15 163 7714 -300.3 -284.8 16 164 7761 -300.3 -287.8 17 165 7808 -300.3 -289.4 18 166 7855 -300.3 -288.6 19 167 7902 -300.3 -285.3 20 168 7949 -300.3 -291.7 21 169 7996 -300.3 -293.6 22 170 8043 -300.3 -293.9 23 Optimization terminated: average change in the fitness value less than options.FunctionTolerance. Single objective optimization: 2 Variable(s) Options: CreationFcn: @gacreationuniform CrossoverFcn: @crossoverscattered SelectionFcn: @selectionstochunif MutationFcn: @mutationgaussian Best Mean Stall Generation Func-count f(x) f(x) Generations 1 100 -29.07 165.2 0 2 147 -29.07 430.2 1 3 194 -29.07 289.8 2 4 241 -30.74 348.9 0 5 288 -30.74 311.1 1 6 335 -30.74 417.7 2 7 382 -31.78 272.5 0 8 429 -34.57 366.1 0 9 476 -34.57 200.1 1 10 523 -34.57 230 2 11 570 -34.57 242.7 3 12 617 -34.57 276.3 4 13 664 -34.57 321.1 5 14 711 -34.57 428.8 6 15 758 -34.57 278.1 7 16 805 -34.57 99.94 8 17 852 -34.57 144 9 18 899 -34.57 199.6 10 19 946 -34.57 111.5 11 20 993 -34.57 162.1 12 21 1040 -34.57 209.5 13 22 1087 -34.57 262.3 14 23 1134 -34.57 284 15 24 1181 -34.57 257.9 16 25 1228 -34.77 183.3 0 26 1275 -34.77 250.4 1 27 1322 -34.77 213.1 2 28 1369 -34.77 173.6 3 29 1416 -34.77 139.9 4 30 1463 -35.36 146 0 Best Mean Stall Generation Func-count f(x) f(x) Generations 31 1510 -35.36 158.7 1 32 1557 -35.36 199.5 2 33 1604 -35.36 239.7 3 34 1651 -35.36 187.3 4 35 1698 -35.36 190.8 5 36 1745 -35.36 115.1 6 37 1792 -35.36 119.7 7 38 1839 -35.36 121.7 8 39 1886 -35.36 98.22 9 40 1933 -35.36 114.2 10 41 1980 -35.36 268.2 11 42 2027 -35.36 299.4 12 43 2074 -35.36 242.7 13 44 2121 -35.36 149.7 14 45 2168 -35.36 115.7 15 46 2215 -35.36 127.1 16 47 2262 -35.36 93.58 17 48 2309 -35.36 152.3 18 49 2356 -35.36 159.8 19 50 2403 -35.36 192 20 51 2450 -35.36 117.9 21 52 2497 -35.36 112.6 22 53 2544 -35.36 151.9 23 54 2591 -35.36 294.9 24 55 2638 -35.36 251.7 25 56 2685 -35.36 204.4 26 57 2732 -35.36 91.06 27 58 2779 -35.36 170.5 28 59 2826 -35.36 84.14 29 60 2873 -35.36 93.64 30 Best Mean Stall Generation Func-count f(x) f(x) Generations 61 2920 -35.36 124.5 31 62 2967 -35.36 64.94 32 63 3014 -35.36 68.59 33 64 3061 -35.36 144.5 34 65 3108 -35.36 135.9 35 66 3155 -35.36 74.15 36 67 3202 -35.36 109.9 37 68 3249 -35.36 106.4 38 69 3296 -35.36 150.9 39 70 3343 -35.36 168.6 40 71 3390 -35.36 148.2 41 72 3437 -35.36 96.66 42 73 3484 -35.36 86.47 43 74 3531 -35.36 97.55 44 75 3578 -35.36 43.04 45 76 3625 -35.36 103.1 46 77 3672 -35.36 103.7 47 78 3719 -35.36 99.1 48 79 3766 -35.36 68.41 49 80 3813 -35.36 52.06 50 Optimization terminated: average change in the fitness value less than options.FunctionTolerance. Single objective optimization: 2 Variable(s) Options: CreationFcn: @gacreationuniform CrossoverFcn: @crossoverscattered SelectionFcn: @selectionstochunif MutationFcn: @mutationgaussian Best Mean Stall Generation Func-count f(x) f(x) Generations 1 100 -33.16 211.8 0 2 147 -33.16 239.5 1 3 194 -33.16 262.1 2 4 241 -33.35 272.1 0 5 288 -33.35 248.2 1 6 335 -33.35 328.7 2 7 382 -33.35 394.2 3 8 429 -33.35 303.9 4 9 476 -33.35 183.2 5 10 523 -33.35 206.5 6 11 570 -33.35 143.6 7 12 617 -33.35 228 8 13 664 -33.35 216.3 9 14 711 -33.35 251.7 10 15 758 -34.07 257.4 0 16 805 -34.07 272.2 1 17 852 -34.07 348.6 0 18 899 -34.07 366.4 1 19 946 -34.07 355.3 2 20 993 -34.07 369.1 3 21 1040 -34.07 316.3 4 22 1087 -34.07 306.4 5 23 1134 -34.07 358.4 6 24 1181 -34.07 307.7 7 25 1228 -34.07 189 8 26 1275 -34.07 238.5 9 27 1322 -34.07 313.1 10 28 1369 -34.07 285.5 11 29 1416 -34.07 344.6 12 30 1463 -34.07 340.2 13 Best Mean Stall Generation Func-count f(x) f(x) Generations 31 1510 -34.07 389.9 14 32 1557 -34.07 198.2 15 33 1604 -34.07 193.8 16 34 1651 -34.07 161.9 17 35 1698 -34.07 174.4 18 36 1745 -34.07 158 19 37 1792 -34.07 308.3 20 38 1839 -34.07 361.4 21 39 1886 -34.07 296.3 22 40 1933 -34.07 174.2 23 41 1980 -34.07 184.2 24 42 2027 -34.07 68.69 25 43 2074 -34.07 106.1 26 44 2121 -34.07 87.86 27 45 2168 -34.07 133.1 28 46 2215 -34.07 219.9 29 47 2262 -34.07 291.5 30 48 2309 -34.07 169.4 31 49 2356 -34.07 105.7 32 50 2403 -34.07 90.36 33 51 2450 -34.07 68.84 34 52 2497 -34.07 105.2 35 53 2544 -34.07 115.3 36 54 2591 -34.07 65.91 37 55 2638 -34.07 69.94 38 56 2685 -34.07 183.3 39 57 2732 -34.07 199.8 40 58 2779 -34.07 143.7 41 59 2826 -34.07 173.4 42 60 2873 -34.07 159.7 43 Best Mean Stall Generation Func-count f(x) f(x) Generations 61 2920 -34.07 150 44 62 2967 -34.07 157.1 45 63 3014 -34.07 174.4 46 64 3061 -34.07 114.2 47 65 3108 -34.07 125.1 48 66 3155 -34.07 172.5 49 67 3202 -34.07 139.6 50 Optimization terminated: average change in the fitness value less than options.FunctionTolerance. Single objective optimization: 2 Variable(s) Options: CreationFcn: @gacreationuniform CrossoverFcn: @crossoverscattered SelectionFcn: @selectionstochunif MutationFcn: @mutationgaussian Best Mean Stall Generation Func-count f(x) f(x) Generations 1 100 -38.02 165.2 0 2 147 -38.21 265.9 0 3 194 -38.21 277.7 1 4 241 -38.21 241.2 2 5 288 -38.21 281.8 3 6 335 -38.21 197.2 4 7 382 -38.21 262.4 5 8 429 -38.21 361.9 6 9 476 -38.21 304.4 7 10 523 -38.21 316.1 8 11 570 -38.21 293.1 9 12 617 -38.21 296.7 10 13 664 -38.21 342.4 11 14 711 -38.21 334.4 12 15 758 -38.21 254.4 13 16 805 -38.21 282.1 14 17 852 -38.21 212.4 15 18 899 -38.42 190.5 0 19 946 -38.44 216.8 0 20 993 -38.44 247.1 1 21 1040 -38.44 177.8 2 22 1087 -38.44 154.2 3 23 1134 -38.44 103.1 4 24 1181 -38.44 130 5 25 1228 -38.44 204.6 6 26 1275 -38.44 155 7 27 1322 -38.44 301.5 8 28 1369 -38.44 278.9 9 29 1416 -38.44 351 10 30 1463 -38.5 230.5 0 Best Mean Stall Generation Func-count f(x) f(x) Generations 31 1510 -38.5 289.8 1 32 1557 -38.5 335.8 2 33 1604 -38.5 416 3 34 1651 -38.5 295.5 4 35 1698 -38.5 174.2 5 36 1745 -38.5 175.9 6 37 1792 -38.5 163.7 7 38 1839 -38.5 126.8 8 39 1886 -38.5 156 9 40 1933 -38.5 195.3 10 41 1980 -38.5 259.2 11 42 2027 -38.5 227.4 12 43 2074 -38.5 130.7 13 44 2121 -38.5 254.1 14 45 2168 -38.5 257.8 15 46 2215 -38.5 164.7 16 47 2262 -38.5 131.4 17 48 2309 -38.5 201.8 18 49 2356 -38.5 224.2 19 50 2403 -38.5 134.4 20 51 2450 -38.5 146.5 21 52 2497 -38.5 49.59 22 53 2544 -38.5 59.9 23 54 2591 -38.5 76.84 24 55 2638 -38.5 88.81 25 56 2685 -38.5 105.5 26 57 2732 -38.5 159 27 58 2779 -38.5 108.3 28 59 2826 -38.53 137.4 0 60 2873 -38.53 119.3 1 Best Mean Stall Generation Func-count f(x) f(x) Generations 61 2920 -38.53 138.9 2 62 2967 -38.53 121.3 3 63 3014 -38.53 105.1 4 64 3061 -38.53 118.6 5 65 3108 -38.53 145.5 6 66 3155 -38.53 128 7 67 3202 -38.53 141.6 8 68 3249 -38.53 107.4 9 69 3296 -38.53 82.58 10 70 3343 -38.53 57.91 11 71 3390 -38.53 64.83 12 72 3437 -38.53 46.58 13 73 3484 -38.53 70.98 14 74 3531 -38.53 42.76 15 75 3578 -38.53 109.5 16 76 3625 -38.53 86.54 17 77 3672 -38.53 45.14 18 78 3719 -38.53 55.15 19 79 3766 -38.53 62.36 20 80 3813 -38.53 92.73 21 81 3860 -38.53 67.45 22 82 3907 -38.53 28.95 23 83 3954 -38.53 56.61 24 84 4001 -38....
x
x =
x(:,:,1) = 32.0339 23.7914 16.8171 10.8320 6.3391 2.9471 0.8220 -0.0111 0.3698 1.9759 31.9212 23.9126 16.6966 10.8944 6.3592 2.9205 0.5236 0.0843 0.3904 1.9862 x(:,:,2) = 17.9236 12.0024 7.1422 3.6719 1.2412 0.0592 0.1642 1.5791 4.1172 7.9484 17.9778 11.9192 7.1691 3.3667 1.2087 0.2457 0.2299 1.5887 4.2716 8.0210 x(:,:,3) = 4.5654 1.8004 0.2867 0.0211 1.0252 3.3644 6.6919 11.4448 17.0768 24.3621 4.6530 1.8584 0.2659 0.0696 1.1069 3.1494 6.7193 11.4326 17.3899 23.8919 x(:,:,4) = 1.9693 0.2619 0.6186 0.8380 2.9639 6.5824 10.9144 16.6902 23.7818 31.7316 1.9186 0.3830 0.1731 0.7256 2.8324 6.4552 10.4338 16.6965 23.7979 31.8924 x(:,:,5) = 0.4803 -0.1270 0.7418 2.7431 5.8683 10.3937 16.1235 22.9780 31.2064 40.4128 0.3865 0.0639 0.6116 2.6887 6.0354 10.1437 15.8579 22.9474 31.1797 40.7785

More Answers (0)

Categories

Find more on Monte Carlo Analysis in Help Center and File Exchange

Tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!