how to change rhs, then reoptimize

[Li Mike]

Dear develpoer,  suppose we have the following model:

from mip import Model, xsum, minimize, BINARY, IncumbentUpdater

I = range(500)

m = Model("my")

x = [m.add_var(var_type=BINARY) for i in I]

for i in I:

    m += x[i] >= 1

m.objective = minimize(xsum(x[i] for i in I))

m.optimize()

After solve the model, I want to change the rhs of the above constraints to zero, and then reoptimize it. How to do it?

Thanks in advance.

[Martin Hjelmeland]

from mip import Model, xsum, minimize, BINARY, IncumbentUpdater

I = range(500)

m = Model("my")

x = [m.add_var(var_type=BINARY) for i in I]

c = dict()

for i in I:

    c[i] = m.add_constr(x[i] >= 1)

m.objective = minimize(xsum(x[i] for i in I))

m.optimize()

for i in I:

    c[i].rhs = 2

m.optimize()