I am learning how to use Pyomo in Google Colab and I created an Abstract model, but I dont know the coding to read the data file and solve the model. The documentation gives instructions about the command prompt but it is not the case as I am working with Google Colab.
I will highly appreaciate your help.
0 Answer
!pip install pyomo
from pyomo.environ import *
import matplotlib.pyplot as plt
!wget -N -q "https://ampl.com/dl/open/ipopt/ipopt-linux64.zip"
!unzip -o -q ipopt-linux64
model = AbstractModel()
model.x = Var(bounds=(0,1.2), within=Reals)
model.obj1 = Objective(expr=model.x**2, sense=maximize)
#opt = SolverFactory('ipopt')
opt=SolverFactory('ipopt', executable='/content/ipopt')
instance = model.create_instance()
results = opt.solve(instance) # solves and updates instance
print('OF= ',value(instance.obj1))
这家伙很懒，什么都没留下...