I finished an ILP before and it works properly.
opt = SolverFactory('glpk')
model = AbstractModel()
model.obj = Objective(...)
# variables, constraints ...
instance = model.create_instance()
results = opt.solve(instance)
since I want to get the value of each variable but also the objective function solved, I try to access the Objective function by the way similar as what I did to the variable but all I can get is an expression.
I use the following code:
print(instance.obj.value)
But only got the warning like this:
WARNING: DEPRECATED: The .value property getter on SimpleObjective is deprecated. Use the .expr property getter instead
When I change the code to
print(instance.obj.expr)
All I get is an expression. So I wanna know is there any way to get the value of the objective function other than getting all the variables needed and re-calculating by myself again?
The best way to get the value of the objective function is to use the value
function provided by Pyomo
print(value(instance.obj))