tiagosantos

you're absolutely right, I'm already aware of that and fixed it after doing this pull request, now the objective function is used only in the `full_fitness` variable

@wildart thanks for the reply. I understand that there are many changes. My main reason was just to add this branch to your project to ease the creation of individual...

> Mutations is a parameter to `ga`, you can overwrite `ga` to accept mutation symbols instead of function names, and select an appropriate function to pass to the original version...

> Exactly, none of the package mutation functions are suited for that scenario. You would need to define a new mutation function that would wrap existed package functions which will...

Despite the major changes I tried to pull in #43 , parallelization of the entire population is not that hard to implement, using the `DistributedArrays` package. I already have a...

> I do not think that DistributedArrays is an answer. It covers only multi-core scenario. Even basic julia parallel computing routines are enough for scatter-gather computations that are required for...

Forgot one thing. In my current system everything works correctly, no errors whatsoever. **Template:** Version 2022-01-11 [6.9.1] **engine:** pdfTeX, Version 3.14159265-2.6-1.40.20 (TeX Live 2019/Debian) **OS:** Ubuntu 20.04.5 LTS **kernel:** 5.15.0-46-generic

Nice then :) and at that time it will still remain a prototype or it will be a full functionality?

I don't know exactly but probably has something to do about the order the equations are processed internally. Furthermore, the real problem is not the propagation to the main model...

Thank you for the response but I already found an alternative, by multiplying a decision vector to the derivative, I forgot to update the issue :) By the way, the...