Monday, March 28, 2022

[DMANET] [Scheduling seminar] Christian Artigues (LAAS - CNRS) | March 30 | Mixed integer linear programming for resource-constrained scheduling

Dear scheduling researcher,

We are delighted to announce the talk given by Christian Artigues (LAAS
- CNRS).
The title is "Mixed integer linear programming for resource-constrained
The seminar will take place on Zoom on Wednesday, March 30 at 13:00 UTC.

Join Zoom Meeting
Meeting ID: 914 9032 4777
Passcode: 848529

You can follow the seminar online or offline on our Youtube channel as well:

The abstract follows.
Mixed-Integer linear programming (MILP) is one of the generic modeling
and algorithmic solution framework for NP-hard scheduling problems,
along with Constraint Programming (CP) and SAT solvers. However, the
literature often reports poor results of MILP solvers for
resource-constrained scheduling problems compared to CP or SAT-based
approaches such as Lazy Clause Generation. However, even if this is
partly true because of the powerful dedicated scheduling algorithms
embedded in constraint propagators, MILP approaches can reach very good
results in terms of primal and dual bounds if the right formulation and
specialized MILP components such as valid inequalities and column
generation are chosen for the problem at hand. This talk first reviews
the standard MILP formulations for resource-constrained scheduling
problems and a few recent advances in the field. In particular, we focus
on basic polyhedral results, on the relative relaxation strength of
compact and extended formulations augmented with valid inequalities.
Finally, we provide examples, including industrial ones where MILP,
possibly integrated in hybrid CP/SAT/MILP methods, appears as a
technique of choice.

The next talk in our series will be given by:
Pascal Van Hentenryck (Georgia Tech) | April 13 | Constraint Programming
for Scheduling

For more details, please visit

With kind regards

Zdenek, Mike and Guohua

Zdenek Hanzalek
Industrial Informatics Department,
Czech Institute of Informatics, Robotics and Cybernetics,
Czech Technical University in Prague,
Jugoslavskych partyzanu 1580/3, 160 00 Prague 6, Czech Republic

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