I have an MILP model with binary and continuous variables. When I run the model on small scale data sets, it works fine. The current data set I have has 1000 nodes where it is a network optimization model. When I call cplex.solve(), all I see in the engine log is
CPXPARAM_TimeLimit 3600
Found incumbent of value 0.000000 after 0.00 sec. (3.25 ticks)
Tried aggregator 1 time.
MIP Presolve eliminated 28000 rows and 28000 columns.
Reduced MIP has 44003 rows, 44000 columns, and 229000 nonzeros.
Reduced MIP has 16000 binaries, 0 generals, 0 SOSs, and 0 indicators.
Presolve time = 0.30 sec. (126.34 ticks)
Probing time = 1.52 sec. (101.89 ticks)
Tried aggregator 1 time.
It has been more than 30 mins, and nothing happens and Java shows that the code is still being run. I've never encountered this issue before. Is it because of the complexity of the model? What are the ways that I can handle this issue?
------------------------------
S Y
------------------------------
#DecisionOptimization