Tire noise optimization problem: a mixed integer linear programming approach

Matthias Becker (1) , Nicolas Ginoux (2) , Sébastien Martin (3) , Zsuzsanna Roka (3)

1 Department of Software Engineering and IT Security
2 IECL - Institut Élie Cartan de Lorraine
3 LCOMS - Laboratoire de Conception, Optimisation et Modélisation des Systèmes

We present a Mixed Integer Linear Program (MILP) approach in order to model the non-linear problem of minimizing the tire noise. We first take more industrial constraints into account than in a former work of the authors. Then, we associate a Branch-and-Cut algorithm to the MILP to obtain exact solutions. We compare our experimental results with those obtained by other methods.

Domaines: Recherche opérationnelle [math.OC]

Matthias Becker, Nicolas Ginoux, Sébastien Martin, Zsuzsanna Roka. Tire noise optimization problem: a mixed integer linear programming approach. RAIRO - Operations Research, 2021, 55 (5), pp.3073-3085. ⟨hal-03379132v1⟩