Hi,

I am solving an optimization problem and I am using Python DOcplex lbrary which uses IBM ILOG CPLEX Optimization Studio academic version.  It solves my problem in 14 seconds. However, I need to use Python-MIP which uses CBC solver but it solves the same problem in 16 minutes. I was wondering if there is a way to reduce this simulation time when I use Python-MIP. I know Python-MIP also works with CPLEX. I tried it and the simulation still takes a long time to run. I really appreciate it if you could help me with this.

Thank you.

The Python-MIP web site does not mention that their solver can run on the top of CPLEX. 
How did you manage to try it ? 

with python-MIP you can export mps file with

m.write('model.mps')

and then use cplex through import mps in docplex

mdl = ModelReader.read('c:/temp/model.mps', ignore_names=False)

mdl.solve(log_output=True,)

from example