Is there a way to save additional information in a custom crossover function for the ga and then pass it to the output function?

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I have custom crossover, mutation, and output functions for my implementation of the ga (genetic algorithm).
I would like to be able to save certain information when calling the crossover function (namely I want to know which parents produced which offspring and what the parents' scores were). Then when the output function is called, I want to refer to that information if a better solution was generated.
I have tried passing a struct to the crossover and output functions and have them both refer to it, but that doesn't seem to work out of the box.
(The scores seem to be passed to the crossover function in the field the documentation refers to as 'unused', by the way.)

Accepted Answer

Walter Roberson
Walter Roberson on 27 Mar 2021
There is no provided mechanism for this.
Doug Rank
Doug Rank on 31 Mar 2021
Apologies, but I'm not sure which part of your link specifically you would be referring to when you say "shared variables". I see a few different options listed, but global seemed to be the only option that made sense for what I was trying to accomplish.

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