Aditional arguments to objective function

[rogerfn]

Thank you for this very nice package.

I think it would be great to pass arguments to the objective function.

There are some cases where I need to pass an object to the objective function and unfortunately the only way to do that at the moment is to define as a global variable.

I could make a PR for that if necessary

[PasaOpasen]

@rogerfn make PR if it's possible to u

So I did't understand what exactly u want

Do u want to use logic like

g = 0


def f(x):
    global g
    g += 1
    return x+g

model = ga(f) 

?

Show me an example how do u plan to use the package with pass arguments

[rogerfn]

I was thinking in something like the the interface that scipy.optimize.minimize has:

def f(x, a, b):
  return a*x + b

and in the ga function you would have something like:

ga(f, arguments=(a,b))

[PasaOpasen]

@rogerfn and u want to change a, b during optimization process???

Why u don't use

def f(arr):
   return arr[1]*arr[0] + arr[2]

[rogerfn]

No, those are constant objects. El mié, 2 jun 2021 a las 23:46, Demetry Pasсal ***@***.***>) escribió:

…

@rogerfn <https://github.com/rogerfn> and u want change a, b during optimization process??? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <https://github.com/PasaOpasen/geneticalgorithm2/discussions/19#discussioncomment-818021>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ABOLGQDBGZPBEK5OEGDVCGDTQ2RCRANCNFSM456XMKWQ> .

[PasaOpasen]

@rogerfn So why u cannot create carrier function like

f_local = lambda x: f(x,a,b)

model = ga(f_local)

[rogerfn]

Yes, actually that’s what I’m doing. It is mainly have the same or similar interface as scipy El El jue, 3 jun 2021 a las 10:53, Demetry Pasсal ***@***.***> escribió:

…

@rogerfn <https://github.com/rogerfn> So why u cannot create carrier function like f_local = lambda x: f(x,a,b) model = ga(f_local) — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <https://github.com/PasaOpasen/geneticalgorithm2/discussions/19#discussioncomment-819635>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ABOLGQE7QOC3OVSLO7DNQF3TQ47IDANCNFSM456XMKWQ> .