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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?

Accepted Answer

Alan Weiss
Alan Weiss on 11 May 2021
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.
A different question: is ga the right solver for you? See Choose a Solver.
Alan Weiss
MATLAB mathematical toolbox documentation
  3 Comments
Ali Ghalavand
Ali Ghalavand on 14 May 2021
Thank you Alan,
I wrote GA code yesterday and I used rng function then I saw the variables converged and my problem was solved.

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