Setting lower and upper bounds in 'ga' algorithm.
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I am trying to find the global minimum of the Ackley function using a genetic algorithm 'ga'. My code works fine until i try to add lower and upper bounds then I get errors. Please help me add the bounds to my code.
function y = myFitness(x)
y = -20.*exp(-0.2.*sqrt(0.5.*(x(1).^2+ x(2).^2))) - exp(0.5.*(cos(2.*pi.*x(1)))+(cos(2.*pi.*x(2))))+exp(1)+20;
end
clc
FitFcn = @myFitness;
nvars = 2;
lb = [-5 5];
ub = [5 5];
[x, fval] = ga(FitFcn, nvars)
采纳的回答
Ameer Hamza
2020-10-10
FitFcn = @myFitness;
nvars = 2;
lb = [-5 5];
ub = [5 5];
[x, fval] = ga(FitFcn, nvars, [], [], [], [], lb, ub)
3 个评论
Ande Mandoyi
2020-10-10
Ameer Hamza
2020-10-10
I am glad to be of help!
Learner123
2021-4-27
Hi,
I have a similar issue. When I set lb and ub
I am getting an error.
Error using ga
Too many input arguments.
Any help is greatly appreciated. Thanks in advance
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