Not able to declare best solution even after actually finding it

[cyasing]

I am trying for a simple GA script, where in I do see that the X values converge to the ideal, even the F values reach the minimum (verbose = True and printing X values via evaluate function from my problem class), and yet the program just keeps on running without actually printing res.X and res.F. What could be potential reasons for it?

[cyasing]

For reference, here's the output:

[cyasing]

The first array represents X, while the single line outputs are all outputs from pymoo. It's the same for each iteration. The X converge to 1, and yet at the 12th iteration, it did not print anything for a long time (15 minutes when each iteration took a minute.)

[blankjul]

If it is a simple example please provide the source code so that we know what you are talking about.

Are you using the Callback to print the values? https://pymoo.org/interface/callback.html
You can access the current optimum by algorithm.opt which is a Population object.

[cyasing]

It isn't a simple example, per se. I am using a physics based model (specifically PyBaMM's battery model) that takes in one input, and in the evaluate function solves the model for all 10 of these inputs and then the objective values are obtained. Would you be interested in viewing the program?

[cyasing]

I am not using a callback, just simple print statement in evaluate function.

[cyasing]

Can you tell me where to use this algorithm.opt other than callbacks? Or a simpler callback to just have F and X values printed properly?

[blankjul]

just use algorithm.opt.get("X") and algorithm.opt.get("F"). You can use the methods an ANY algorithm object (not only in callback)

[cyasing]

Thanks!