Writing custom variable selection method using the CPLEX Python API

Question

I want to implement a custom variable selection heuristic for solving an MLP using the CPLEX Python API.

Unfortunately, I cannot find any examples or documentation for this.

Ist this actually possible using the CPLEX Python API, or do I need to use C++?

Can I achieve this using the BranchCallback [1]?

[1] https://www.ibm.com/support/knowledgecenter/SSSA5P_12.5.0/ilog.odms.cplex.help/refpythoncplex/html/cplex.callbacks.BranchCallback-class.html

wich Python API, what are you using?

J.Zagdoun
– J.Zagdoun

2019-04-01 09:50:33 +00:00
Commented Apr 1, 2019 at 9:50 — J.Zagdoun
– J.Zagdoun, Commented Apr 1, 2019 at 9:50
CPLEX, I edited the question.

Christopher
– Christopher

2019-04-01 10:58:52 +00:00
Commented Apr 1, 2019 at 10:58 — Christopher
– Christopher, Commented Apr 1, 2019 at 10:58

rkersh · Accepted Answer · 2019-04-01 17:23:19Z

1

The functionality of the BranchCallback in the CPLEX Python API should be nearly identical to that of BranchCallbackI provided in the C++ API. Parallel callbacks are hindered by the global interpreter lock (aka, the GIL) in Python, however.

The admipex1.py, and admipex3.py Python examples demonstrate how to use the BranchCallback class and are included with CPLEX. For the corresponding C++ examples, see iloadmipex1.cpp and iloadmipex3.cpp.

answered Apr 1, 2019 at 17:23

rkersh

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