Could someone please help me with this,
I am trying to minimize a 3 variable problem, and, keep getting this error in return,
"Not enough input arguments"
Number of variables = 3
Upper bounds = [12 3 5]
Lower bounds = [6 1 1]
Function used,
function y = pallab(x)
y = -0.59567+0.008793*x(1)+0.1025*x(2)+0.40967*x(3)-0.000266667*(x(1)*x(2))+0.0000*(x(1)*x(3))-0.106*(x(3)^2);
end
Thanks in advance
Dear Pallab,
I think there is no problem in your function and bounds.
You should use “@pallab” in “Fitness function” field (see attached file).
Regards,
Mehdi
Dear Mehdi, that's what I thought. The code seemed fine. I do not understand why it didn't work. Well maybe I should try running a code instead of the toolbox.
Dear Mahboobeh, thanks a lot. Yea, I guess I should write a code instead of the toolbox.
Check this out. ( https://www.mathworks.com/matlabcentral/fileexchange/60578-traffic-light-management-algorithm-through-genetic-algorithms )
I already uploaded a 4 variable problem implementation for minimizing the traffic congestion( 1 intersection). Try to change fitness function to fit your case and let me know about your progress.
Best Regards
The Matlab default data format only read short type, like the "X.xxxx" with four decimal places. So in the objective function file, add one line "format long"
attached pic is my test, with "format long".
Dear Pallab,
I run your function in optimtool and it didn't have any problem.
First I run it by small population size of 20, the optimum values for the variables become [6.005 1 5], then I used this optimum values as the initial population and increased the population size to 100. The optimum values for the variables become [6 1 5] and the optimum value for objective function becomes -1.04366.
Figure 1 shows the output of my first iteration and figure 2 shows the result of second iteration. I also generate code of the second iteration with its bounds and other requirements as 'pallab_GA.m'. first run 'pallab.m' and then run the 'pallab_GA.m'.
Hope to be useful.
Best Regards
Dear Farshad, thank you very much. I did manage to run it eventually.
Dear Feng, Thank you very much, I did manage to run it eventually....
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