Genetic Algorithm (ga) terminating after a few generations
10 views (last 30 days)
I am running a minimization calculation using the ga function. I've noticed that the ga function continually terminates after ~3 generations. This seems to be premature; however, the results I am getting are consistent. I have 6 design variables and a population of 1000 that is evenly gridded across reasonable values for each variable. In total the ga usually calls the objective function 10^5 times before terminating and meets the function and constraint tolerances (both 10^-6). I am curious to know if terminating after 3 generations is a "normal" behavior or if this indicates a problem with my objective function. Any help is greatly appreciated.
Star Strider on 15 Aug 2023
That is certainly consistent if it converges quickly, and especially if it produces a reasonable result. If your 'InitialPopulationMatrix' is (1000x6) then it is quite possible that it finds a good fit in 3 generations. (I generally use smaller matrices.)
More Answers (1)
Alan Weiss on 16 Aug 2023
Almost certainly this is because you use nonlinear constraints. When you use nonlinear constraints, there are very few major iterations in the solver. For an example, see https://www.mathworks.com/help/gads/constrained-minimization-using-ga.html.
MATLAB mathematical toolbox documentation