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Hi,
I copy the code of Simple Examples and modify the domain of the lower level variable to type integer. M.y = pe.Var(bounds=(0,None),within=pe.Integers)
The whole code is provided as follows.
import pyomo.environ as pe
from pao.pyomo import *
# Create a model object
M = pe.ConcreteModel()
# Define decision variables
M.x = pe.Var(bounds=(0,None))
M.y = pe.Var(bounds=(0,None),within=pe.Integers)
# Define the upper-level objective
M.o = pe.Objective(expr=M.x - 4*M.y)
# Create a SubModel component to declare a lower-level problem
# The variable M.x is fixed in this lower-level problem
M.L = SubModel(fixed=M.x)
# Define the lower-level objective
M.L.o = pe.Objective(expr=M.y)
# Define lower-level constraints
M.L.c1 = pe.Constraint(expr= -M.x - M.y <= -3)
M.L.c2 = pe.Constraint(expr= -2*M.x + M.y <= 0)
M.L.c3 = pe.Constraint(expr= 2*M.x + M.y <= 12)
M.L.c4 = pe.Constraint(expr= 3*M.x - 2*M.y <= 4)
# Create a solver and apply it
with Solver('pao.pyomo.PCCG',mip_solver="cplex") as solver:
results = solver.solve(M)
# The final solution is loaded into the model
print(M.x.value)
print(M.y.value)
Then an error returns RuntimeError: ERROR! ERROR! Master: Could not find optimal solution,
however, a solution x=4, y=4 can be found when the domain of variables is set to real.
The text was updated successfully, but these errors were encountered:
Hi,
I copy the code of Simple Examples and modify the domain of the lower level variable to type integer.
M.y = pe.Var(bounds=(0,None),within=pe.Integers)
The whole code is provided as follows.
Then an error returns
RuntimeError: ERROR! ERROR! Master: Could not find optimal solution
,however, a solution x=4, y=4 can be found when the domain of variables is set to real.
The text was updated successfully, but these errors were encountered: