4 variables problem optimization with Genetic Algorithm
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I have a 4 variables nonlinear problem optimization that want to solve it with Genetic Algorithm, my lower bounds are [-100 -100 -3000 -3000] and upper bounds are
[100 100 700 700]. But every time I run the program it gives me the different results for variables and the variables don't converge. How can I fix this problem to get a specific result?
采纳的回答
Alan Weiss
2021-5-11
ga is a stochastic algorithm, and is expected to give different results on different runs. You can get reproducible behavior by setting the random seed. For example, run
rng default
before running ga.
Alan Weiss
MATLAB mathematical toolbox documentation
3 个评论
Ali Ghalavand
2021-5-13
Alan Weiss
2021-5-13
You can try patternsearch from several initial points randomly chosen within bounds, as described here:
x0 = lb + rand(size(lb)).*(ub - lb);
Write a loop and see what you get.
I don't understand your question "I used the optimization toolbox and I didn't write the GA code, so where I can use the rng function?" Call the rng function before your ga call. If you canot because someone gave you precompiled code somehow, then I don't know how to help you.
Alan Weiss
MATLAB mathematical toolbox documentation
Ali Ghalavand
2021-5-14
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